224 Results for Network Engineer Jobs

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Data Engineer

Avon, MN
onsite
Permanent / Full Time
100000 - 140000 USD / Yearly
We are looking for a Data Engineer to help shape and strengthen the organization’s data warehouse and analytics capabilities. This role will focus on building reliable data solutions that support reporting, business intelligence, and operational decision-making across the company. The ideal candidate brings strong technical depth in data engineering, enjoys solving complex integration challenges, and works effectively with both IT colleagues and business stakeholders. Responsibilities:• Design and enhance scalable data warehouse structures and integration pipelines that support analytics, reporting, and cross-system data flow.• Develop, test, and maintain ETL processes that move data from varied source systems into staging, warehouse, and downstream reporting environments.• Partner with business teams and technical peers to translate functional needs into practical data solutions and system designs.• Improve database performance by tuning SQL, refining indexing strategies, and addressing issues identified through execution plan analysis.• Create and support dashboards, reports, and data visualizations using tools such as Power BI, Tableau, and similar business intelligence platforms.• Perform data validation, auditing, and quality checks to protect accuracy, consistency, and compliance across critical datasets.• Provide production support for data platforms, integrations, and reporting solutions, resolving issues and maintaining dependable system performance.• Contribute to agile delivery efforts by participating in development, testing, and quality assurance activities across databases, middleware, and analytics applications
2026-10-20T00:00:00Z

Data Engineer

Arlington, TX
onsite
Permanent / Full Time
120000 - 150000 USD / Yearly
We are looking for a Data Engineer to help strengthen financial decision-making by building reliable data and automation capabilities that support planning and analysis. This position works closely with finance leaders and business partners to turn strategic goals into scalable data solutions, improving visibility, speed, and confidence in reporting. Responsibilities:• Design and maintain data pipelines that convert financial and operational information into trusted, analysis-ready datasets for planning and reporting.• Create scalable data models and structured finance data assets within the broader enterprise ecosystem to support consistent, governed analytics.• Develop automation solutions using tools such as Python, Excel, and workflow platforms to streamline recurring finance processes and increase team capacity.• Build near real-time data transformation processes that improve the timeliness and accuracy of performance visibility for stakeholders.• Apply AI-enabled techniques such as anomaly detection, forecasting support, and variance analysis to enhance financial insight generation.• Deliver self-service analytics tools and reporting frameworks that allow business users to explore key metrics and make informed decisions independently.• Establish documentation, data standards, and governance practices that improve maintainability, quality, and long-term adoption of solutions.• Monitor and support automated jobs and bot-driven processes, including troubleshooting, performance oversight, and control management.• Translate complex data findings into clear, executive-level outputs that help guide business strategy and financial priorities
2026-10-17T00:00:00Z

Data Engineer

Minneapolis, MN
onsite
Permanent / Full Time
90000 - 115000 USD / Yearly
We are looking for a Data Engineer to strengthen reporting and data capabilities for distribution operations in Minneapolis, Minnesota. In this role, you will turn information from sales, inventory, warehouse, vendor, and point-of-sale platforms into practical insights that support branch leaders, purchasing teams, and senior decision-makers. The position focuses on creating reliable data solutions that improve inventory planning, pricing visibility, and day-to-day operational performance across a multi-site distribution environment. Responsibilities: • Design, build, and maintain data pipelines that consolidate information from ERP, point-of-sale, warehouse, vendor, and sales systems. • Develop dashboards and operational reports that help business teams monitor inventory movement, pricing performance, margin trends, and service levels. • Write and optimize SQL queries to extract, validate, and transform data from platforms such as SQL Server, Postgres, and distribution-focused ERP systems. • Partner with branch management, purchasing, and leadership teams to translate business questions into clear analytics and reporting solutions. • Ensure data quality and consistency by investigating discrepancies, validating source data, and improving reporting logic across systems. • Support analysis of inventory health by tracking metrics such as turns, fill rate, reorder thresholds, and safety stock performance. • Produce insights that help identify opportunities to improve replenishment decisions, operational efficiency, and pricing accuracy across multiple branches or warehouses. • Contribute to reporting and integration work involving business systems and connected commerce platforms when operational data needs evolve.
2026-10-30T00:00:00Z

Data Engineer

Naperville, IL
onsite
Permanent / Full Time
120000 - 140000 USD / Yearly
We are looking for an experienced Data Engineer to join our team in Illinois. This role is suited for a self-directed, technically strong individual who can navigate complex data challenges, influence architectural decisions, and contribute to stronger engineering standards across the team. The ideal candidate brings deep expertise in modern data technologies and a practical approach to building reliable, scalable solutions in a fast-moving environment. Responsibilities: • Design, build, and maintain scalable data pipelines that support large-volume processing and analytics needs. • Take ownership of complex engineering initiatives from discovery through delivery, making sound technical decisions with minimal oversight. • Develop and optimize distributed data solutions using technologies such as Apache Spark, Hadoop, and Kafka. • Create robust ETL workflows that ensure data quality, consistency, and availability across multiple systems. • Partner with cross-functional teams to define integration approaches, support API connectivity, and enable dependable data exchange. • Improve system performance through testing, troubleshooting, and targeted optimization of data processing workloads. • Contribute to architecture discussions by recommending effective patterns for scalable, maintainable data platforms. • Support the broader engineering team by sharing knowledge, guiding technical best practices, and helping raise overall delivery quality.
2026-10-29T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Permanent / Full Time
130000 - 140000 USD / Yearly
We are looking for a Data Engineer to build and enhance scalable data solutions that support analytics and business decision-making in Jacksonville, Florida. This role focuses on designing reliable warehouse structures, developing efficient data pipelines, and improving data quality across enterprise platforms. The ideal candidate brings strong technical depth in modern data engineering practices and is comfortable partnering with cross-functional teams to deliver well-governed, high-performing data assets. Responsibilities: • Design and maintain enterprise data warehouse solutions using dimensional modeling techniques that support reporting, analytics, and long-term scalability. • Develop, orchestrate, and optimize ETL and ELT workflows for batch and near real-time data movement using modern pipeline and scheduling tools. • Build robust data architectures across cloud-based platforms while balancing performance, resilience, and cost efficiency. • Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks, then implement practical fixes that improve reliability and throughput. • Apply governance standards by supporting data quality controls, metadata practices, lineage visibility, and role-based access management. • Partner with business and technical stakeholders to translate data needs into well-structured solutions and provide clear updates on progress, risks, and delivery timelines. • Create efficient code for data transformation and aggregation using Python and advanced query development techniques. • Integrate data from databases, APIs, streaming platforms, and external sources to support a broad range of analytical use cases. • Mentor team members and contribute ideas that streamline processes, reduce friction, and strengthen engineering best practices.
2026-10-21T00:00:00Z

Data Engineer

Conshohocken, PA
remote
Permanent / Full Time
100000 - 150000 USD / Yearly
We are looking for a Data Engineer to join a growing team in Conshohocken, Pennsylvania within the financial services industry. In this role, you will build and enhance modern data pipelines and warehouse structures that support reporting, analytics, and business decision-making. You will partner with technical and business teams to deliver reliable, well-governed data solutions using Python, Azure Synapse Analytics, and related cloud technologies. Responsibilities: • Build and support scalable data pipelines using Python, including PySpark, within Azure Synapse Analytics notebooks and pipeline workflows. • Design, load, and maintain warehouse structures in a massively parallel processing environment, applying dimensional modeling concepts such as facts and dimensions. • Ingest and transform data from a range of sources, including APIs, databases, and flat files, to create dependable datasets for downstream use. • Improve the efficiency and reliability of Azure Synapse processes by tuning queries, refining workloads, and addressing performance constraints. • Partner with data architects, analysts, and other stakeholders to translate business needs into practical data models and engineering solutions. • Establish validation routines and data quality controls to promote completeness, consistency, and accuracy across datasets. • Monitor scheduled jobs and pipeline activity, troubleshoot failures, and implement corrective actions to maintain service levels. • Document data flows, transformation logic, technical configurations, and operating procedures to support maintainability and knowledge sharing. • Apply security, privacy, and governance standards to data solutions while supporting broader data platform initiatives such as lakes, lakehouses, and cataloging practices.
2026-10-08T00:00:00Z

Data Engineer

Cincinnati, OH
remote
Temporary / Contract
80 - 100 USD / Hourly
We are looking for an experienced Data Engineer to support enterprise-scale data initiatives for a financial services environment in Cincinnati, Ohio. This Long-term Contract position will focus on building reliable data foundations, shaping data structures that support investment and portfolio reporting, and partnering with business and technology leaders to solve complex information challenges. The ideal candidate brings deep expertise in modern data engineering, strong knowledge of financial data domains, and the ability to turn strategic needs into scalable technical solutions. Responsibilities: • Design and maintain scalable data pipelines that collect, transform, and deliver high-value business and financial data across enterprise platforms. • Develop conceptual, logical, and physical data models that improve consistency, usability, and long-term management of critical information assets. • Collaborate with executive stakeholders, business teams, and technical partners to define data solutions aligned with operational and strategic objectives. • Establish and strengthen practices for data governance, stewardship, metadata management, lineage tracking, and data quality oversight. • Translate complex business questions related to funds, investments, portfolio companies, and investors into effective engineering and data architecture solutions. • Build and optimize ETL workflows using technologies such as Python, Apache Spark, Hadoop, and Kafka to support large-scale data processing. • Partner across business and technology functions to ensure data platforms meet regulatory, privacy, risk, and compliance expectations within a financial services setting. • Analyze enterprise data issues, identify improvement opportunities, and implement solutions that enhance reliability, accessibility, and reporting accuracy.
2026-11-04T00:00:00Z

Data Engineer

Little Rock, AR
onsite
Temporary / Contract
100000 - 120000 USD / Yearly
Data Pipeline Development & Integration<ul><li>Design, build, and maintain scalable ETL/ELT pipelines to extract, transform, and load data from multiple sources.</li><li>Develop automated data integration solutions supporting enterprise applications, analytics, and reporting.</li><li>Integrate structured and semi-structured data from APIs, relational databases, cloud platforms, and third-party systems.</li><li>Develop batch and real-time data processing solutions.</li><li>Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks.</li></ul>Data Warehousing & Architecture<ul><li>Design and optimize enterprise data warehouses, data lakes, and lakehouse architectures.</li><li>Develop efficient data models, schemas, and transformations to support business intelligence and analytics.</li><li>Build and maintain cloud-based data solutions using AWS, Microsoft Azure, or Google Cloud.</li><li>Optimize SQL queries, database performance, and data processing workloads.</li><li>Implement data partitioning, indexing, and storage optimization strategies.</li></ul>Data Quality & Governance<ul><li>Develop automated data validation, monitoring, and quality assurance processes.</li><li>Ensure data accuracy, consistency, reliability, and availability across enterprise systems.</li><li>Implement data governance standards, access controls, and security best practices.</li><li>Maintain documentation for data pipelines, architecture, and transformation logic.</li><li>Support compliance with organizational data privacy and security requirements.</li></ul>Cloud Engineering & Automation<ul><li>Develop and maintain cloud-native data pipelines and processing workflows.</li><li>Utilize orchestration tools such as Apache Airflow, Azure Data Factory, or similar technologies.</li><li>Implement CI/CD practices for data engineering workflows.</li><li>Automate data processing, monitoring, and infrastructure deployment.</li><li>Collaborate with DevOps and infrastructure teams to improve scalability and reliability.</li></ul>Analytics & AI Support<ul><li>Partner with business intelligence and analytics teams to deliver reliable datasets for reporting and dashboards.</li><li>Develop curated data models supporting Power BI, Tableau, and other visualization platforms.</li><li>Build data pipelines supporting machine learning, predictive analytics, and AI applications.</li><li>Collaborate with AI engineers and data scientists to prepare, transform, and deliver data for model development and production applications.</li><li>Identify opportunities to improve business processes through better data integration and automation.</li></ul>
2026-11-03T00:00:00Z

Data Engineer

Appleton, WI
onsite
Temporary to Hire
57 - 70 USD / Hourly
We are looking for an experienced Data Engineer to join a construction and contractor-focused organization in Appleton, Wisconsin. This contract opportunity with potential for a permanent role is ideal for a senior-level candidate who enjoys building scalable cloud-based data platforms, working hands-on with Python and notebook-driven development, and applying AI-enabled tools to create practical business solutions. The role will focus on designing modern data lake capabilities, improving data movement and transformation processes, and partnering with stakeholders to deliver reliable analytics infrastructure. Responsibilities: • Design, build, and enhance modern data lake architecture in Google Cloud Platform to support scalable and efficient data operations. • Develop robust data pipelines using Python, SQL, Spark, and ETL frameworks to ingest, transform, and prepare data from multiple sources. • Create and maintain notebook-based solutions that demonstrate clear technical approaches, reusable logic, and well-documented project outcomes. • Integrate large-scale data processing technologies such as Hadoop and Kafka to support high-volume and streaming data workloads. • Collaborate with cross-functional teams to translate business needs into data engineering solutions that improve reporting, analytics, and operational decision-making. • Apply AI-driven tools and approaches to accelerate development, improve solution quality, and deliver innovative customer-focused outcomes. • Support cloud data environments that may include Azure Data Lake and related platforms as part of broader enterprise data initiatives. • Contribute to data platform improvements, including work connected to enterprise tool adoption or internal platform changes when needed.
2026-10-30T00:00:00Z

Data Engineer

Nashville, TN
onsite
Temporary / Contract
62 - 71 USD / Hourly
Robert Half is seeking a Contract Data Engineer to support our client’s data and analytics initiatives. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that enable efficient data ingestion, transformation, and delivery. The ideal candidate has strong experience working with modern data platforms, cloud environments, and large-scale datasets. Key Responsibilities:<ul><li>Data Pipeline Development: Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources.</li><li>Data Architecture: Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs.</li><li>Cloud Data Platforms: Work within cloud environments such as AWS, Azure, or GCP to deploy and manage data solutions.</li><li>Data Warehousing: Design and support enterprise data warehouses using platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse.</li><li>Big Data Processing: Develop solutions using big data technologies such as Spark, Databricks, Kafka, and Hadoop when required.</li><li>Performance Optimization: Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency.</li><li>Data Quality & Reliability: Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability.</li><li>Collaboration: Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions.</li><li>Documentation: Maintain detailed documentation for pipelines, data flows, and system architecture.</li></ul>
2026-11-03T00:00:00Z

Data Engineer

Arlington, VA
onsite
Permanent / Full Time
150000 - 170000 USD / Yearly
We are looking for an experienced Data Engineer for a permanent opportunity in Northern, Virginia. In this role, you will design reliable data solutions that support analytics and business decision-making while helping improve the overall data environment. The ideal candidate brings strong technical depth in modern data engineering practices and enjoys building scalable systems from the ground up. Responsibilities: • Design, develop, and maintain robust data pipelines that collect, transform, and deliver high-quality data for reporting and analysis. • Create and optimize data models that support business intelligence, analytics, and operational use cases across the organization. • Build and manage ETL workflows using Python and related technologies to ensure efficient movement of data between systems. • Work with large-scale data processing tools such as Apache Spark and Hadoop to handle complex and high-volume datasets. • Integrate streaming and batch data sources using technologies such as Apache Kafka to support timely and reliable data availability. • Collaborate with analysts, engineers, and business stakeholders to translate data needs into scalable engineering solutions. • Improve data warehouse performance, structure, and reliability to support accurate and accessible enterprise data. • Use dbt and other modern data transformation practices to organize, test, and document datasets effectively.
2026-10-08T00:00:00Z

Data Engineer

Saint Petersburg, FL
onsite
Temporary to Hire
57 - 66 USD / Hourly
We are looking for a Data Engineer to support analytics and data product development for a healthcare-focused team in Florida. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building scalable reporting solutions, creating modern data products, and improving how business users access insights. The role combines hands-on dashboard development with engineering work in Databricks, helping expand advanced analytics capabilities across a lakehouse-based environment. Responsibilities: • Design and deliver interactive dashboards and reporting solutions that support business decision-making across the analytics function. • Build and enhance data products within Databricks to provide reliable, user-friendly access to operational and analytical insights. • Develop and maintain ETL pipelines using Python, Apache Spark, and Azure-based data services to prepare data for reporting and analysis. • Create scalable data models and curated datasets in Azure Data Lake and related platforms to support self-service analytics. • Contribute to AI-enabled business intelligence solutions using Databricks tools and lakehouse technologies. • Partner with analytics stakeholders to translate reporting needs into technical solutions that are accurate, efficient, and maintainable. • Support the evolution of reporting assets, including work associated with shifting Power BI-based reporting into Databricks environments. • Monitor data quality, troubleshoot reporting issues, and optimize performance across dashboards, pipelines, and data assets.
2026-10-28T00:00:00Z

Data Engineer

Philadelphia, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Engineer to join a Contract engagement supporting people analytics and HR-focused data initiatives in Philadelphia, Pennsylvania. This role is centered on designing, building, and refining scalable data pipelines and curated data assets using Azure Databricks and Azure Data Factory. The ideal candidate will be comfortable working hands-on with complex source data, translating business needs into reliable transformations, and delivering production-ready solutions with minimal oversight. Responsibilities: • Design, build, and maintain robust ETL and ELT workflows that support HR and workforce data products. • Develop scalable data transformations using Python, SQL, Spark, and Azure Databricks to prepare high-quality datasets for downstream use. • Orchestrate and monitor pipeline execution through Azure Data Factory to ensure dependable and timely data delivery. • Analyze existing source systems and data structures to map requirements and create efficient ingestion and transformation logic. • Partner with stakeholders across HR and analytics teams to turn business questions into practical engineering solutions. • Improve data quality, performance, and reliability by applying modern engineering standards, testing practices, and documentation. • Support integrations across HRIS and related platforms, including contributing to interface development where needed. • Create production-ready datasets that enable reporting, workforce analysis, and broader people data initiatives.
2026-10-15T00:00:00Z

Data Engineer

Philadelphia, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an experienced Data Engineer to support the design and delivery of scalable data solutions within the People and HR data domain in Philadelphia, Pennsylvania. This Long-term Contract position is ideal for someone who can step into an existing environment, learn source systems quickly, and build reliable data pipelines that support reporting and business analysis. The role centers on hands-on development using Azure Databricks, Spark, and Azure Data Factory, with an emphasis on creating production-ready data assets. Experience working with HR data and workforce-related systems will be highly valuable in helping translate business needs into dependable engineering solutions. Responsibilities: • Design, build, and maintain data pipelines that ingest, transform, and prepare HR and workforce data for downstream analytics and reporting. • Develop scalable data processing solutions using Azure Databricks, Python, Spark, and SQL to support production-grade data products. • Orchestrate and monitor data workflows through Azure Data Factory to ensure timely, accurate, and resilient data movement. • Analyze existing data sources and business requirements to create efficient transformation logic and structured datasets. • Collaborate with stakeholders across technical and functional teams to align data engineering deliverables with HR reporting and operational needs. • Improve data quality, performance, and reliability by applying sound ETL practices, validation checks, and optimization techniques. • Support integration efforts involving HR systems and related interfaces, including work connected to evolving source platforms when needed. • Contribute to documentation, technical standards, and knowledge sharing to support maintainability and long-term solution success.
2026-10-16T00:00:00Z

Data Engineer

Houston, TX
onsite
Permanent / Full Time
110000 - 130000 USD / Yearly
We are looking for a Data Engineer to join our Data & Analytics team in Houston, Texas, and help strengthen the reporting foundation that supports decisions across the business. In this role, you will shape data into reliable, business-ready models, develop scalable reporting structures, and work closely with teams such as Finance and Operations to turn complex rules into clear insights. This position blends technical data engineering with analytics-focused development, offering the opportunity to improve reporting quality, maintain dependable data flows, and contribute to ongoing enhancements in our analytics environment. Responsibilities: • Develop and maintain structured data models, including staging layers, reporting tables, and dimensional designs within the Azure-based data warehouse environment. • Create and support Power BI semantic models, calculated measures, security configurations, dashboards, and reports used for operational and enterprise reporting. • Monitor scheduled data workflows and dataset refresh activity, investigate processing issues, and resolve failures to keep reporting available and accurate. • Adjust and enhance existing ETL and orchestration processes as business needs evolve, using tools such as Azure Data Factory and related Microsoft data platforms. • Collaborate with stakeholders across functions to translate reporting needs, financial logic, and operational rules into dependable analytical solutions. • Produce clear technical and business documentation covering model design, metric definitions, transformation logic, and data ownership. • Apply and help refine development standards for naming, modeling approach, query design, and reporting structure to improve consistency and quality. • Identify opportunities to streamline current data practices, improve performance, and introduce effective tools or methods that strengthen analytics capabilities.
2026-10-05T00:00:00Z

Data Engineer

Oskaloosa, IA
onsite
Permanent / Full Time
0 - 0 USD / Yearly
Position: Data Engineer Location: Oskaloosa, IA / Des Moines, IA -- Onsite Salary: $100,000 - $120,000 base + exceptional benefits *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. *** Data Engineer Shape the Future of Enterprise Analytics, AI & Data Innovation Are you the type of data professional who sees a business problem and immediately starts thinking about how to model, engineer, and deliver the right solution? A highly successful, technology-driven organization is seeking a Data Engineer to help build the foundation for enterprise analytics, business intelligence, governance, and next-generation AI initiatives. This is an opportunity to make a visible impact across the business while working alongside a collaborative team of data professionals who are passionate about solving complex challenges. This role is ideal for someone who enjoys being hands-on, partnering with the business, and building modern data solutions that drive meaningful outcomes. What You'll Do • Design and develop scalable data models, semantic layers, and enterprise data solutions • Build trusted data structures that support analytics, reporting, AI, and business intelligence initiatives • Develop and optimize cloud-based data pipelines and integrations • Improve data governance, lineage, metadata management, and observability practices • Create automated data quality and validation frameworks • Implement CI/CD processes and modern DataOps best practices • Optimize SQL performance across warehouses, lakehouses, and reporting environments • Partner with analysts and business stakeholders to transform complex problems into actionable solutions • Contribute to technical standards, mentoring, documentation, and architectural best practices What We're Looking For Core Qualifications • Strong experience with data modeling and semantic modeling • Hands-on experience with Microsoft Fabric, Azure, and Power BI • Advanced SQL development and performance optimization skills • Experience with Git, CI/CD, and modern data engineering practices • Ability to translate business requirements into scalable technical solutions • Experience developing enterprise data pipelines and analytics platforms • A plus if you have data governance, data warehouse, data lake and or DBT experience. *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-10-13T00:00:00Z

Data Engineer

Oklahoma City, OK
onsite
Permanent / Full Time
100000 - 125000 USD / Yearly
A Manufacturing/ distribution company is looking for a Data Engineer with 3 + years of experience to join a dynamic team in Oklahoma City, Oklahoma. In this role, you will play a crucial part in designing and maintaining the data infrastructure to support analytics and decision-making processes. You will be a key contributor in developing, optimizing, and maintaining the data infrastructure that supports analytics and business intelligence initiatives, and data driven decision-making using Snowflake, Matillion, and other tools. Position will be in-office to work closely with the team. You must live in the Oklahoma City area. Client is unable to sponsor. No 3rd parties please. Responsibilities: • Design, develop, and maintain scalable data pipelines to support data integration and real-time processing.• Implement and manage data warehouse solutions, with a strong focus on Snowflake architecture and optimization.• Write efficient and effective scripts and tools using Python to automate workflows and enhance data processing capabilities.• Work with SQL Server to design, query, and optimize relational databases in support of analytics and reporting needs.• Monitor and troubleshoot data pipelines, resolving any performance or reliability issues.• Ensure data quality, governance, and integrity by implementing and enforcing best practices.
2026-10-28T00:00:00Z

IT Hardware Technician

Savannah, GA
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for a hands-on IT Cable Technician to support users and maintain technology environments across sites in Savannah, Georgia. This contract-to-permanent position blends day-to-day technical support with field-based hardware installation, structured cabling, and physical security system work. The ideal candidate is comfortable troubleshooting end-user issues, deploying equipment, and assisting with network and low-voltage infrastructure projects in a fast-paced Information Technology setting. Responsibilities:• Deliver first- and second-level support for computers, laptops, printers, mobile devices, and other end-user equipment, resolving issues efficiently and professionally.• Configure, maintain, and troubleshoot Windows 10 and Windows 11 systems to keep employee devices operating reliably.• Manage core Microsoft environments by handling account administration, group access, password support, and user permissions within Active Directory and Microsoft 365.• Prepare, install, and refresh workstations, software, and peripheral hardware for both new employees and existing staff.• Investigate and resolve connectivity problems involving wired networks, wireless access, and workstation communication issues.• Install and support IP-based cameras, surveillance hardware, and access control equipment as part of onsite security technology initiatives.• Perform low-voltage cabling tasks such as routing, labeling, terminating, and testing Cat5e and Cat6 cabling for new and existing network runs.• Build out and maintain structured cabling components including patch panels, network drops, and related infrastructure while verifying performance against standards.• Record technical findings, resolutions, device details, and infrastructure information to maintain accurate support and network documentation.• Partner with external vendors and internal stakeholders on equipment rollouts, office changes, and other infrastructure improvement projects.
2026-10-20T00:00:00Z

Data Platform Engineer

Cleveland, OH
onsite
Permanent / Full Time
75000 - 90000 USD / Yearly
One of Robert Half's clients is looking for a curious, resourceful Data Platform Engineer to help us strengthen the foundation behind our data. This is a hands-on, growth-oriented role for someone who enjoys investigating how systems work, solving practical problems, and learning new technologies. You will help build and maintain data pipelines, improve the reliability and accessibility of our data, and contribute to an assessment of our current data architecture. You will have the opportunity to work across several areas of data engineering rather than being limited to one narrow specialty. This may include data integration, pipeline development, data modeling, quality monitoring, documentation, reporting support, and architecture discovery. We are more interested in how you approach problems than whether you have already used every technology in our environment. The right person is dependable, asks thoughtful questions, follows work through to completion, and knows how to use modern AI development tools responsibly and effectively. Essential Functions Build, maintain, and improve pipelines that move data between operational systems, databases, warehouses, and reporting tools. Help document our existing data environment, including data sources, integrations, transformations, storage, reporting dependencies, and access controls. Support an audit of the current data architecture by investigating how systems connect and identifying potential reliability, scalability, data-quality, security, or maintainability concerns. Work with more experienced team members and business stakeholders to evaluate and prioritize improvements. Develop and maintain reusable data models for reporting, analytics, and operational use. Add testing, monitoring, alerting, logging, and documentation to important data workflows. Investigate failed jobs, inconsistent metrics, and other data issues through structured root-cause analysis. Write readable, maintainable code using source control, code review, automated testing, and repeatable deployment practices. Translate business needs into practical technical solutions with guidance from internal stakeholders. Use AI-assisted development tools to accelerate research, coding, testing, documentation, and troubleshooting. Review and validate AI-generated work rather than accepting it without verification. Learn unfamiliar systems and technologies as needed and share what you discover with the team. Knowledge, Skills & Abilities Strong foundational SQL skills and experience working with relational data. Working knowledge of Python, R, or another language used for data processing and automation. Some experience building, modifying, or supporting ETL/ELT pipelines. Familiarity with databases, data warehouses, APIs, scheduled jobs, or cloud-based data services. Basic experience with Git and modern software-development practices. An ability to investigate unfamiliar problems, test assumptions, and communicate findings clearly. A dependable approach to execution, documentation, and follow-through. Genuine curiosity and a willingness to learn technologies outside your current experience. Practical experience using AI coding assistants or language models as part of a development workflow. Good judgment about validating AI-generated code and protecting confidential or sensitive company information.
2026-10-30T00:00:00Z

Systems Engineer / Systems Administrator - PERM Direct

Des Moines, IA
onsite
Permanent / Full Time
90000 - 100000 USD / Yearly
Part-Time Systems & Network Engineer (Direct Hire | 34 Hours/Week)ONSITE: Des Moines, Iowa with Off-Hours support = Onsite & Remote Part-time Hourly position PLUS Overtime Pay: $56 / hour.We are seeking a hands-on Systems & Network Engineer for a permanent direct hire, part-time opportunity working 34 hours per week. This role offers a flexible schedule with some off-hours and evening onsite work to support maintenance, updates, and infrastructure changes with minimal business disruption.Why Consider This RoleYou will enjoy being the go-to technical resource, balancing support with project work, and having flexibility in how your week is structured, this could be an excellent fit.This is a strong opportunity for someone who enjoys autonomy and wants to take ownership. Serve as the primary engineer responsible for both systems administration and network engineering, making this ideal for someone comfortable operating independently and driving solutions from start to finish.*** For confidential consideration, please send a message to CARRIE DANGER, SVP Permanent Placement - on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***What You’ll Do<ul><li>Administer and support server, systems, and network infrastructure</li><li>Maintain and enhance VMware and Windows Server environments</li><li>Manage switching, routing, firewall, and network connectivity</li><li>Support Azure and cloud-focused infrastructure initiatives</li><li>Oversee Active Directory, Microsoft 365, and Exchange Online</li><li>Handle patching, updates, alerting, and infrastructure maintenance</li><li>Coordinate scheduled server and network changes, including communication around downtime and maintenance windows</li><li>Support audit readiness, compliance controls, and infrastructure documentation</li><li>Assist with modernization efforts involving VPN, remote access, cloud migration, and data center improvements</li><li>Take ownership of projects and independently drive issues through resolution</li></ul>Technical Background NeededCandidates should have current, hands-on experience across both systems and networking.Preferred experience includes:*Systems administration and network engineering*Windows Server & VMware*Cisco networking, including Cisco Routers, Switches, firewalls, and Cisco Meraki*Citrix technologies*Azure and Active Directory*Microsoft 365 and Exchange Online*SAN/storage administration*PowerShell scripting*Patch management and infrastructure lifecycle support*Remote access technologies such as VPN solutions, Tailscale, or similar tools*Exposure to Parallels RAS is a plusPart-time Hourly position PLUS Overtime Pay: $56 / hour. For immediate and confidential consideration, reach out directly to Carrie Danger, SVP of Permanent Placement: Office: 515-259-6087 Mobile: 515-991-0863. Email: (found on MY LinkedIn profile)Your application will remain confidential; resumes will never be shared without your permission.***
2026-10-13T00:00:00Z

SCADA Engineer

Houston, TX
onsite
Permanent / Full Time
140000 - 170000 USD / Yearly
We are looking for a SCADA Engineer to lead the engineering, performance, and long-term reliability of real-time control systems that support distributed energy and microgrid operations in Houston, Texas. This position blends hands-on technical execution with system-level ownership, giving you the opportunity to shape scalable architectures, strengthen operational visibility, and support critical grid-connected assets. The ideal candidate brings deep experience with SCADA platforms, field integrations, and utility telemetry, along with the ability to guide standards and technical decisions across a growing fleet. Responsibilities: • Lead the design and ongoing improvement of SCADA architecture for distributed generation and microgrid assets, ensuring the environment can support expansion without sacrificing reliability. • Manage the configuration, administration, and optimization of real-time operational systems in partnership with operations, IT, and engineering teams to improve system performance and data accessibility. • Act as the senior technical resource for SCADA platforms and connected control environments, providing design direction, resolving escalated issues, and helping set engineering priorities. • Define and maintain standards for telemetry mapping, tag hierarchy, alarm strategy, and data quality to promote consistency across sites and systems. • Support around-the-clock control center operations by helping maintain stable system availability and responding to complex technical issues affecting monitoring or control functions. • Direct utility and market integrations by designing secure data exchanges and telemetry frameworks that align with grid participation and compliance needs. • Oversee the engineering and commissioning of new site connections, including review of control drawings, point structures, HMI layouts, historian configuration, and controller programming. • Partner with infrastructure and operations teams to strengthen cybersecurity, harden system connectivity, and maintain readiness for high-impact grid events. • Drive automation, tooling, database improvements, and governed deployment practices, including support for upgrades and technology changes within the SCADA environment.
2026-10-05T00:00:00Z

Linux Systems Administrator

Milwaukee, WI
onsite
Permanent / Full Time
110000 - 140000 USD / Yearly
Robert Half is seeking a Senior Systems Administrator to support and maintain a complex mix of Linux, Windows, virtualization, cloud, and application environments. This role is ideal for someone who enjoys working across a broad technology stack, solving challenging infrastructure issues, and partnering directly with both internal stakeholders and external customers. You'll play a key role in system administration, automation, application support, security, performance optimization, and infrastructure projects while helping ensure highly available and secure business-critical environments. What You'll Do<ul><li>Administer and support Linux and Windows server environments, including installation, configuration, patching, upgrades, troubleshooting, and performance tuning.</li><li>Manage core infrastructure services such as Active Directory, Group Policy, IIS, DNS, and related technologies.</li><li>Support business applications and the underlying infrastructure required to keep them running efficiently.</li><li>Maintain and troubleshoot virtualized environments, including VMware and similar platforms.</li><li>Assist with cloud-based infrastructure across Azure, AWS, and other public cloud environments.</li><li>Develop and maintain automation using tools such as PowerShell, Bash, Python, Ansible, or Terraform.</li><li>Monitor system health, performance, and capacity while proactively identifying opportunities for improvement.</li><li>Partner with security teams to implement system hardening, vulnerability remediation, access controls, and patch management best practices.</li><li>Support backup, recovery, and disaster recovery processes for critical systems and applications.</li><li>Troubleshoot networking and application connectivity issues involving DNS, DHCP, VPNs, firewalls, and TCP/IP.</li><li>Participate in infrastructure upgrades, migrations, onboarding efforts, and technology modernization initiatives.</li><li>Create and maintain technical documentation, procedures, and operational runbooks.</li><li>Serve as a senior technical resource during incidents, projects, and customer-facing engagements.</li><li>Participate in an on-call rotation supporting production systems as needed.</li></ul>
2026-10-20T00:00:00Z

Linux Systems Administrator

Salt Lake City, UT
onsite
Permanent / Full Time
115000 - 130000 USD / Yearly
We are looking for a Linux Systems Administrator to support and strengthen critical infrastructure in Salt Lake City, Utah. This role focuses on keeping Linux-based environments stable, secure, and efficient while helping resolve technical issues across systems and networks. The ideal candidate brings practical administration experience, sound networking knowledge, and a proactive approach to reliability and operational improvement. Responsibilities: • Administer Linux servers by handling installation, configuration, routine maintenance, and ongoing operational support. • Investigate and resolve issues affecting operating systems, applications, hardware, and network connectivity to reduce service interruptions. • Oversee core network components such as switches, routers, firewalls, and secure remote access solutions. • Apply security best practices by managing patching, permissions, account access, and system hardening measures. • Support backup operations, recovery testing, and disaster preparedness efforts to protect business data and continuity. • Track system health and performance, identify bottlenecks, and recommend upgrades or optimization opportunities. • Create and update technical documentation for infrastructure, procedures, and support activities. • Partner with IT colleagues and assist end users while contributing to infrastructure initiatives and operational projects.
2026-10-22T00:00:00Z

Industrial Software & Applications Engineer

Canonsburg, PA
onsite
Permanent / Full Time
85000 - 125000 USD / Yearly
We are looking for an Industrial Software & Applications Engineer to join a permanent team supporting industrial technology initiatives in Pennsylvania. This position blends software engineering with automation support, offering the opportunity to build and enhance applications that improve visibility, reliability, and performance across operational systems. The role is well suited for someone who enjoys solving technical problems, working with connected equipment, and contributing to projects involving industrial data, controls, and modern software tools. Responsibilities: • Build, maintain, and enhance software applications that support the monitoring, control, and analysis of industrial operations. • Work with automation hardware and software such as PLCs, HMIs, sensors, and instrumentation to support system connectivity and functional performance. • Develop scripts, APIs, dashboards, and reporting tools that help teams access operational data and improve decision-making. • Assist with collecting, validating, transforming, and processing industrial data for both real-time use and longer-term analysis. • Troubleshoot communication links, interfaces, and networked systems to improve reliability across connected industrial environments. • Contribute to system testing, commissioning, validation, and deployment activities for new or updated software and automation solutions. • Analyze equipment and process data to identify trends, support predictive maintenance efforts, and recommend operational improvements. • Create clear technical documentation, including diagrams, procedures, test plans, and troubleshooting references. • Support initiatives involving cloud platforms, edge computing, remote connectivity, and cybersecurity practices for industrial systems.
2026-10-21T00:00:00Z

Power Platform Engineer

Lagrange, GA
onsite
Temporary / Contract
45 - 52 USD / Hourly
OverviewOur client has been using Power Apps and Power Automate for several years and has built a relatively mature Power Platform environment. The team already has business analysts who can build basic apps and flows, but it now needs a more technical Power Platform resource to take the environment to the next level.This person will help support and improve existing applications while bringing greater structure to governance, permissions, testing, deployment, and overall platform management. Responsibilities<ul><li>Support, maintain, troubleshoot, and enhance existing Microsoft Power Apps and Power Automate solutions across the organization.</li><li>Develop new Power Platform applications, workflows, and automation solutions based on business and operational requirements.</li><li>Partner with business analysts, stakeholders, and end users to gather requirements, understand business processes, and translate needs into scalable technical solutions.</li><li>Improve and modernize existing canvas apps and flows through refactoring, optimization, and ongoing platform enhancements.</li><li>Establish and maintain Power Platform governance standards, including environment management, security, permissions, access controls, and administrative best practices.</li><li>Define and implement application lifecycle management (ALM) processes, including testing, deployment, release management, and change control procedures.</li><li>Support platform administration activities, ensuring reliability, performance, security, and compliance across the Power Platform environment.</li><li>Create and maintain standards, documentation, and development best practices to improve consistency and scalability across Power Platform solutions.</li><li>Collaborate with enterprise application and IT teams to integrate Power Platform solutions with Azure services, Dynamics 365, and other internal systems.</li><li>Leverage tools such as Azure DevOps to support source control, deployment pipelines, testing strategies, and solution management.</li><li>Evaluate and implement opportunities to improve platform architecture, technical standards, and overall platform maturity.</li><li>Support Power Platform initiatives related to business growth, including international expansion efforts and future Dynamics 365 implementations.</li><li>Work independently to manage technical responsibilities while collaborating closely with business analysts and cross-functional teams.</li><li>Serve as a subject matter expert for Power Platform development, administration, and governance, helping drive long-term platform strategy and adoption.</li><li>Continuously identify opportunities to streamline business processes, increase automation, and deliver operational efficiencies through the Microsoft Power Platform.</li></ul>
2026-11-04T00:00:00Z

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