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115 results for Database Technology Manager jobs
- Bridgewater, NJ
- onsite
- Temporary / Contract
- 39.5865 - 45.837 USD / Hourly
- We are looking for a Data Engineer to support healthcare-focused data initiatives in Bridgewater, New Jersey. This Long-term Contract position is ideal for someone who enjoys building reliable data pipelines, working with large-scale datasets, and improving the flow of information across technical environments. The role will contribute to scalable data solutions that help teams access, process, and analyze critical business data efficiently.<br><br>Responsibilities:<br>• Design and maintain scalable data pipelines to collect, transform, and deliver data from multiple sources.<br>• Develop ETL workflows that improve data quality, consistency, and availability for reporting and analytics needs.<br>• Use Python and Apache Spark to process high-volume datasets and optimize performance across data engineering tasks.<br>• Work with Hadoop-based environments to manage distributed data processing and storage effectively.<br>• Integrate streaming and batch data using Apache Kafka to support timely and dependable data movement.<br>• Partner with analysts, developers, and business stakeholders to translate data needs into practical engineering solutions.<br>• Monitor pipeline health, troubleshoot processing issues, and implement improvements that increase reliability and efficiency.
- 2026-10-29T00:00:00Z
- Atlanta, GA
- onsite
- Temporary / Contract
- 65 - 75 USD / Hourly
- <p>For our client, we are seeking a Data Engineer to design, develop, and maintain scalable data pipelines, integrations, and enterprise data platforms. This individual will work closely with data analysts, architects, and business stakeholders to ensure reliable data ingestion, transformation, storage, and accessibility for reporting, analytics, and business intelligence initiatives.</p>
- 2026-10-23T00:00:00Z
- Jacksonville, FL
- onsite
- Permanent / Full Time
- 115000 - 130000 USD / Yearly
- We are looking for a Data Engineer to join our team in Jacksonville, Florida and help shape scalable, enterprise-ready analytics solutions. In this role, you will turn complex business needs into well-structured data models, high-performing pipelines, and actionable reporting assets that support informed decision-making. The ideal candidate brings deep experience with modern data platforms, strong technical leadership, and the ability to guide best practices for analytics, governance, and data usability across the organization.<br><br>Responsibilities:<br>• Design and maintain scalable data pipelines and transformation workflows using tools such as Python, Apache Spark, Hadoop, Kafka, and ETL frameworks.<br>• Build and optimize enterprise semantic models that support consistent metrics, reusable analytics assets, and reliable reporting across multiple business areas.<br>• Partner with business and technical stakeholders to convert complex requirements into practical data solutions, dashboards, and analytical datasets.<br>• Develop and support analytics solutions within modern cloud and hybrid environments, with a strong focus on Microsoft Power BI, Microsoft Fabric, and Azure Synapse Analytics.<br>• Improve data quality, model performance, and platform reliability through testing, validation, tuning, and adherence to established governance standards.<br>• Provide technical guidance to team members by sharing best practices in data modeling, visualization, and scalable analytics design.<br>• Evaluate and incorporate AI-enabled analytics capabilities and automation opportunities while ensuring outputs align with business needs and quality expectations.<br>• Communicate technical concepts and analytical insights clearly to a range of audiences, including leadership, to support strategic decisions.
- 2026-10-21T00:00:00Z
- Memphis, TN
- onsite
- Temporary / Contract
- 70 - 85 USD / Hourly
- <p>We are seeking a highly skilled Big Data Engineer to design, build, and optimize scalable data platforms that support enterprise analytics, reporting, machine learning, and business intelligence initiatives. The ideal candidate will have experience developing large-scale data pipelines, managing cloud-based data ecosystems, and implementing high-performance data solutions that enable data-driven decision-making across the organization. Key Responsibilities Design, develop, and maintain large-scale data processing systems and data pipelines. Build and optimize ETL/ELT workflows for structured, semi-structured, and unstructured data sources. Develop scalable solutions using distributed computing frameworks such as Apache Spark, Hadoop, and Kafka. Collaborate with Data Scientists, Analysts, Architects, and business stakeholders to support analytical and operational requirements. Integrate data from multiple internal and external systems while ensuring data quality and integrity. Design and implement cloud-native data solutions within AWS, Azure, or Google Cloud environments. Monitor, troubleshoot, and improve the performance, reliability, and scalability of data platforms. Implement data governance, security, compliance, and access control standards. Support real-time and batch data processing requirements. Document architectures, workflows, and technical specifications to ensure operational excellence.</p>
- 2026-11-10T00:00:00Z
- 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.<br><br>Responsibilities:<br>• Design, build, and maintain data pipelines that consolidate information from ERP, point-of-sale, warehouse, vendor, and sales systems.<br>• Develop dashboards and operational reports that help business teams monitor inventory movement, pricing performance, margin trends, and service levels.<br>• Write and optimize SQL queries to extract, validate, and transform data from platforms such as SQL Server, Postgres, and distribution-focused ERP systems.<br>• Partner with branch management, purchasing, and leadership teams to translate business questions into clear analytics and reporting solutions.<br>• Ensure data quality and consistency by investigating discrepancies, validating source data, and improving reporting logic across systems.<br>• Support analysis of inventory health by tracking metrics such as turns, fill rate, reorder thresholds, and safety stock performance.<br>• Produce insights that help identify opportunities to improve replenishment decisions, operational efficiency, and pricing accuracy across multiple branches or warehouses.<br>• Contribute to reporting and integration work involving business systems and connected commerce platforms when operational data needs evolve.
- 2026-10-30T00:00:00Z
- Arlington, TX
- onsite
- Permanent / Full Time
- 120000 - 150000 USD / Yearly
- <p>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. </p><p><br></p><p>Responsibilities:</p><p>• Design and maintain data pipelines that convert financial and operational information into trusted, analysis-ready datasets for planning and reporting.</p><p>• Create scalable data models and structured finance data assets within the broader enterprise ecosystem to support consistent, governed analytics.</p><p>• Develop automation solutions using tools such as Python, Excel, and workflow platforms to streamline recurring finance processes and increase team capacity.</p><p>• Build near real-time data transformation processes that improve the timeliness and accuracy of performance visibility for stakeholders.</p><p>• Apply AI-enabled techniques such as anomaly detection, forecasting support, and variance analysis to enhance financial insight generation.</p><p>• Deliver self-service analytics tools and reporting frameworks that allow business users to explore key metrics and make informed decisions independently.</p><p>• Establish documentation, data standards, and governance practices that improve maintainability, quality, and long-term adoption of solutions.</p><p>• Monitor and support automated jobs and bot-driven processes, including troubleshooting, performance oversight, and control management.</p><p>• Translate complex data findings into clear, executive-level outputs that help guide business strategy and financial priorities</p>
- 2026-10-17T00:00:00Z
- Avon, MN
- onsite
- Permanent / Full Time
- 100000 - 140000 USD / Yearly
- <p>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.</p><p><br></p><p>Responsibilities:</p><p>• Design and enhance scalable data warehouse structures and integration pipelines that support analytics, reporting, and cross-system data flow.</p><p>• Develop, test, and maintain ETL processes that move data from varied source systems into staging, warehouse, and downstream reporting environments.</p><p>• Partner with business teams and technical peers to translate functional needs into practical data solutions and system designs.</p><p>• Improve database performance by tuning SQL, refining indexing strategies, and addressing issues identified through execution plan analysis.</p><p>• Create and support dashboards, reports, and data visualizations using tools such as Power BI, Tableau, and similar business intelligence platforms.</p><p>• Perform data validation, auditing, and quality checks to protect accuracy, consistency, and compliance across critical datasets.</p><p>• Provide production support for data platforms, integrations, and reporting solutions, resolving issues and maintaining dependable system performance.</p><p>• Contribute to agile delivery efforts by participating in development, testing, and quality assurance activities across databases, middleware, and analytics applications</p>
- 2026-10-20T00:00:00Z
- 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.<br><br>Responsibilities:<br>• Design, build, and maintain scalable data pipelines that support large-volume processing and analytics needs.<br>• Take ownership of complex engineering initiatives from discovery through delivery, making sound technical decisions with minimal oversight.<br>• Develop and optimize distributed data solutions using technologies such as Apache Spark, Hadoop, and Kafka.<br>• Create robust ETL workflows that ensure data quality, consistency, and availability across multiple systems.<br>• Partner with cross-functional teams to define integration approaches, support API connectivity, and enable dependable data exchange.<br>• Improve system performance through testing, troubleshooting, and targeted optimization of data processing workloads.<br>• Contribute to architecture discussions by recommending effective patterns for scalable, maintainable data platforms.<br>• Support the broader engineering team by sharing knowledge, guiding technical best practices, and helping raise overall delivery quality.
- 2026-10-29T00:00:00Z
- 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.<br><br>Responsibilities:<br>• Design and maintain enterprise data warehouse solutions using dimensional modeling techniques that support reporting, analytics, and long-term scalability.<br>• Develop, orchestrate, and optimize ETL and ELT workflows for batch and near real-time data movement using modern pipeline and scheduling tools.<br>• Build robust data architectures across cloud-based platforms while balancing performance, resilience, and cost efficiency.<br>• Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks, then implement practical fixes that improve reliability and throughput.<br>• Apply governance standards by supporting data quality controls, metadata practices, lineage visibility, and role-based access management.<br>• Partner with business and technical stakeholders to translate data needs into well-structured solutions and provide clear updates on progress, risks, and delivery timelines.<br>• Create efficient code for data transformation and aggregation using Python and advanced query development techniques.<br>• Integrate data from databases, APIs, streaming platforms, and external sources to support a broad range of analytical use cases.<br>• Mentor team members and contribute ideas that streamline processes, reduce friction, and strengthen engineering best practices.
- 2026-10-21T00:00:00Z
- Nashville, TN
- onsite
- Temporary / Contract
- 62 - 71 USD / Hourly
- <p>Robert Half is seeking a <strong>Contract Data Engineer</strong> 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.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li><strong>Data Pipeline Development:</strong> Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources.</li><li><strong>Data Architecture:</strong> Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs.</li><li><strong>Cloud Data Platforms:</strong> Work within cloud environments such as <strong>AWS, Azure, or GCP</strong> to deploy and manage data solutions.</li><li><strong>Data Warehousing:</strong> Design and support enterprise data warehouses using platforms such as <strong>Snowflake, Redshift, BigQuery, or Azure Synapse</strong>.</li><li><strong>Big Data Processing:</strong> Develop solutions using big data technologies such as <strong>Spark, Databricks, Kafka, and Hadoop</strong> when required.</li><li><strong>Performance Optimization:</strong> Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency.</li><li><strong>Data Quality & Reliability:</strong> Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability.</li><li><strong>Collaboration:</strong> Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions.</li><li><strong>Documentation:</strong> Maintain detailed documentation for pipelines, data flows, and system architecture.</li></ul><p><br></p>
- 2026-11-03T00:00:00Z
- Little Rock, AR
- onsite
- Temporary / Contract
- 100000 - 120000 USD / Yearly
- <p><strong>Data Pipeline Development & Integration</strong></p><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><p><strong>Data Warehousing & Architecture</strong></p><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><p><strong>Data Quality & Governance</strong></p><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><p><strong>Cloud Engineering & Automation</strong></p><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><p><strong>Analytics & AI Support</strong></p><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><p><br></p><p><br></p>
- 2026-11-03T00:00:00Z
- 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.<br><br>Responsibilities:<br>• Design, build, and enhance modern data lake architecture in Google Cloud Platform to support scalable and efficient data operations.<br>• Develop robust data pipelines using Python, SQL, Spark, and ETL frameworks to ingest, transform, and prepare data from multiple sources.<br>• Create and maintain notebook-based solutions that demonstrate clear technical approaches, reusable logic, and well-documented project outcomes.<br>• Integrate large-scale data processing technologies such as Hadoop and Kafka to support high-volume and streaming data workloads.<br>• Collaborate with cross-functional teams to translate business needs into data engineering solutions that improve reporting, analytics, and operational decision-making.<br>• Apply AI-driven tools and approaches to accelerate development, improve solution quality, and deliver innovative customer-focused outcomes.<br>• Support cloud data environments that may include Azure Data Lake and related platforms as part of broader enterprise data initiatives.<br>• Contribute to data platform improvements, including work connected to enterprise tool adoption or internal platform changes when needed.
- 2026-10-30T00:00:00Z
- 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.<br><br>Responsibilities:<br>• Design and maintain scalable data pipelines that collect, transform, and deliver high-value business and financial data across enterprise platforms.<br>• Develop conceptual, logical, and physical data models that improve consistency, usability, and long-term management of critical information assets.<br>• Collaborate with executive stakeholders, business teams, and technical partners to define data solutions aligned with operational and strategic objectives.<br>• Establish and strengthen practices for data governance, stewardship, metadata management, lineage tracking, and data quality oversight.<br>• Translate complex business questions related to funds, investments, portfolio companies, and investors into effective engineering and data architecture solutions.<br>• Build and optimize ETL workflows using technologies such as Python, Apache Spark, Hadoop, and Kafka to support large-scale data processing.<br>• Partner across business and technology functions to ensure data platforms meet regulatory, privacy, risk, and compliance expectations within a financial services setting.<br>• Analyze enterprise data issues, identify improvement opportunities, and implement solutions that enhance reliability, accessibility, and reporting accuracy.
- 2026-11-11T00:00:00Z
- 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.<br><br>Responsibilities:<br>• Design and deliver interactive dashboards and reporting solutions that support business decision-making across the analytics function.<br>• Build and enhance data products within Databricks to provide reliable, user-friendly access to operational and analytical insights.<br>• Develop and maintain ETL pipelines using Python, Apache Spark, and Azure-based data services to prepare data for reporting and analysis.<br>• Create scalable data models and curated datasets in Azure Data Lake and related platforms to support self-service analytics.<br>• Contribute to AI-enabled business intelligence solutions using Databricks tools and lakehouse technologies.<br>• Partner with analytics stakeholders to translate reporting needs into technical solutions that are accurate, efficient, and maintainable.<br>• Support the evolution of reporting assets, including work associated with shifting Power BI-based reporting into Databricks environments.<br>• Monitor data quality, troubleshoot reporting issues, and optimize performance across dashboards, pipelines, and data assets.
- 2026-10-28T00:00:00Z
- 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. <br> 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
- Oklahoma City, OK
- onsite
- Permanent / Full Time
- 100000 - 125000 USD / Yearly
- <p>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.</p><p><br></p><p>Responsibilities:</p><p><br></p><p>• Design, develop, and maintain scalable data pipelines to support data integration and real-time processing.</p><p>• Implement and manage data warehouse solutions, with a strong focus on Snowflake architecture and optimization.</p><p>• Write efficient and effective scripts and tools using Python to automate workflows and enhance data processing capabilities.</p><p>• Work with SQL Server to design, query, and optimize relational databases in support of analytics and reporting needs.</p><p>• Monitor and troubleshoot data pipelines, resolving any performance or reliability issues.</p><p>• Ensure data quality, governance, and integrity by implementing and enforcing best practices.</p>
- 2026-10-28T00:00:00Z
- 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.<br><br>Responsibilities:<br>• Design, build, and maintain data pipelines that ingest, transform, and prepare HR and workforce data for downstream analytics and reporting.<br>• Develop scalable data processing solutions using Azure Databricks, Python, Spark, and SQL to support production-grade data products.<br>• Orchestrate and monitor data workflows through Azure Data Factory to ensure timely, accurate, and resilient data movement.<br>• Analyze existing data sources and business requirements to create efficient transformation logic and structured datasets.<br>• Collaborate with stakeholders across technical and functional teams to align data engineering deliverables with HR reporting and operational needs.<br>• Improve data quality, performance, and reliability by applying sound ETL practices, validation checks, and optimization techniques.<br>• Support integration efforts involving HR systems and related interfaces, including work connected to evolving source platforms when needed.<br>• Contribute to documentation, technical standards, and knowledge sharing to support maintainability and long-term solution success.
- 2026-11-10T00:00:00Z
- 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.<br><br>Responsibilities:<br>• Design, build, and maintain robust ETL and ELT workflows that support HR and workforce data products.<br>• Develop scalable data transformations using Python, SQL, Spark, and Azure Databricks to prepare high-quality datasets for downstream use.<br>• Orchestrate and monitor pipeline execution through Azure Data Factory to ensure dependable and timely data delivery.<br>• Analyze existing source systems and data structures to map requirements and create efficient ingestion and transformation logic.<br>• Partner with stakeholders across HR and analytics teams to turn business questions into practical engineering solutions.<br>• Improve data quality, performance, and reliability by applying modern engineering standards, testing practices, and documentation.<br>• Support integrations across HRIS and related platforms, including contributing to interface development where needed.<br>• Create production-ready datasets that enable reporting, workforce analysis, and broader people data initiatives.
- 2026-11-06T00:00:00Z
- Oskaloosa, IA
- onsite
- Permanent / Full Time
- 0 - 0 USD / Yearly
- Position: Data Engineer<br>Location: Oskaloosa, IA / Des Moines, IA -- Onsite<br>Salary: $100,000 - $120,000 base + exceptional benefits<br><br>*** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. ***<br><br>Data Engineer<br>Shape the Future of Enterprise Analytics, AI & Data Innovation<br>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?<br>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.<br>This role is ideal for someone who enjoys being hands-on, partnering with the business, and building modern data solutions that drive meaningful outcomes.<br>What You'll Do<br> • Design and develop scalable data models, semantic layers, and enterprise data solutions<br> • Build trusted data structures that support analytics, reporting, AI, and business intelligence initiatives<br> • Develop and optimize cloud-based data pipelines and integrations<br> • Improve data governance, lineage, metadata management, and observability practices<br> • Create automated data quality and validation frameworks<br> • Implement CI/CD processes and modern DataOps best practices<br> • Optimize SQL performance across warehouses, lakehouses, and reporting environments<br> • Partner with analysts and business stakeholders to transform complex problems into actionable solutions<br> • Contribute to technical standards, mentoring, documentation, and architectural best practices<br>What We're Looking For<br>Core Qualifications<br> • Strong experience with data modeling and semantic modeling<br> • Hands-on experience with Microsoft Fabric, Azure, and Power BI<br> • Advanced SQL development and performance optimization skills<br> • Experience with Git, CI/CD, and modern data engineering practices<br> • Ability to translate business requirements into scalable technical solutions<br> • Experience developing enterprise data pipelines and analytics platforms<br> • A plus if you have data governance, data warehouse, data lake and or DBT experience.<br><br>*** 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
- Chicago, IL
- onsite
- Permanent / Full Time
- 180000 - 200000 USD / Yearly
- We are looking for a Data Engineer to help build and maintain scalable data solutions that support critical business operations within the brokerage industry. This role is based in Chicago, Illinois, and focuses on designing reliable data pipelines, improving data accessibility, and enabling efficient processing across large datasets. The ideal candidate brings strong technical expertise in modern data engineering tools and enjoys working in a fast-paced environment where data quality, performance, and consistency are essential.<br><br>Responsibilities:<br>• Design, develop, and optimize data pipelines that support ingestion, transformation, and delivery of large-scale datasets.<br>• Build and maintain ETL workflows to ensure accurate, timely, and dependable movement of data across platforms.<br>• Use Python and Apache Spark to process complex data efficiently and improve overall pipeline performance.<br>• Work with Apache Hadoop technologies to manage distributed data storage and computation for high-volume workloads.<br>• Implement streaming and messaging solutions with Apache Kafka to support near-real-time data integration needs.<br>• Partner with cross-functional teams to understand data requirements and translate business needs into technical solutions.<br>• Monitor data processes, troubleshoot issues, and resolve bottlenecks to maintain system reliability and data integrity.<br>• Contribute to enhancements involving data platform changes or internal process updates as part of ongoing engineering initiatives.
- 2026-11-09T00:00:00Z
- 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. <br><br>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. <br><br>Essential Functions <br><br>Build, maintain, and improve pipelines that move data between operational systems, databases, warehouses, and reporting tools. <br><br>Help document our existing data environment, including data sources, integrations, transformations, storage, reporting dependencies, and access controls. <br><br>Support an audit of the current data architecture by investigating how systems connect and identifying potential reliability, scalability, data-quality, security, or maintainability concerns. <br><br>Work with more experienced team members and business stakeholders to evaluate and prioritize improvements. <br><br>Develop and maintain reusable data models for reporting, analytics, and operational use. <br><br>Add testing, monitoring, alerting, logging, and documentation to important data workflows. <br><br>Investigate failed jobs, inconsistent metrics, and other data issues through structured root-cause analysis. <br><br>Write readable, maintainable code using source control, code review, automated testing, and repeatable deployment practices. <br><br>Translate business needs into practical technical solutions with guidance from internal stakeholders. <br><br>Use AI-assisted development tools to accelerate research, coding, testing, documentation, and troubleshooting. <br><br>Review and validate AI-generated work rather than accepting it without verification. <br><br>Learn unfamiliar systems and technologies as needed and share what you discover with the team. <br> <br>Knowledge, Skills & Abilities <br><br>Strong foundational SQL skills and experience working with relational data. <br><br>Working knowledge of Python, R, or another language used for data processing and automation. <br><br>Some experience building, modifying, or supporting ETL/ELT pipelines. <br><br>Familiarity with databases, data warehouses, APIs, scheduled jobs, or cloud-based data services. <br><br>Basic experience with Git and modern software-development practices. <br><br>An ability to investigate unfamiliar problems, test assumptions, and communicate findings clearly. <br><br>A dependable approach to execution, documentation, and follow-through. <br><br>Genuine curiosity and a willingness to learn technologies outside your current experience. <br><br>Practical experience using AI coding assistants or language models as part of a development workflow. <br><br>Good judgment about validating AI-generated code and protecting confidential or sensitive company information.
- 2026-10-30T00:00:00Z
- West Nyack, NY
- onsite
- Permanent / Full Time
- 115000 - 130000 USD / Yearly
- <p>We are a market-leading U.S. consumer packaged goods (CPG) food manufacturer specializing in top-selling, allergy-friendly, and plant-based baked goods. Founded with a mission to create safe, delicious products for individuals with severe food allergies, our products are distributed to major retail and distribution partners nationwide.</p><p>Position Overview</p><p>We are seeking a highly motivated, in-house <strong>ERP & Database Engineer</strong> to take full ownership of our business data systems—assessing, updating, and optimizing our technical infrastructure.</p><p>We currently operate on an on-premise manufacturing ERP running on a Firebird 3.0 database (approx. 14 GB across 250+ tables). Internal reporting is driven by a legacy dashboard built in Visual Basic 6.0 (VB6), Microsoft Access, and ODBC connections. The ideal candidate will quickly master our existing legacy environment, document data flows, recommend a modernized path forward, and lead the technical execution.</p><p><br></p><p><strong><em>Key Responsibilities</em></strong></p><p><br></p><p>Phase 1: Assessment & Strategy</p><ul><li><strong>System Mapping:</strong> Map data flows between the core ERP, Firebird database, legacy VB6/Access dashboard, and EDI invoicing infrastructure.</li><li><strong>Database Audit:</strong> Identify custom tables/queries, resolve duplicate or inconsistent records, repair missing keys, and extract business logic embedded in legacy reports or spreadsheets.</li><li><strong>System Health Check:</strong> Review database maintenance, automated backups, file growth trends, and database version status.</li><li><strong>Knowledge Capture:</strong> Interview key internal stakeholders across Engineering, Accounting, Sales, and Production to document legacy logic and operational workflows.</li><li><strong>Strategic Recommendation:</strong> Present a comprehensive plan (including cost, timeline, and risk analysis) choosing one of the following paths:</li></ul><ol><li>Maintain the current ERP, clean core data, and replace the legacy dashboard.</li><li>Maintain the current ERP and build a separate, well-modeled reporting database to power dashboards.</li><li>Replace the legacy ERP with a new enterprise system and execute the data migration.</li></ol><p>Phase 2: Remediation & Execution</p><ul><li>Lead the selected technical roadmap from design and architecture through system cutover.</li><li>Establish automated database maintenance, tested backup procedures, monitoring, and upgrade schedules.</li><li>Retire the legacy VB6/Access dashboard in collaboration with our internal Systems Analyst (currently developing a modern Python replacement).</li><li>Maintain comprehensive documentation and train internal team members to ensure long-term system maintainability and continuity.</li></ul><p><br></p>
- 2026-10-22T00:00:00Z
- Ogden, UT
- onsite
- Permanent / Full Time
- 120000 - 150000 USD / Yearly
- <p>Security-focused Database Administrator responsible for protecting enterprise Oracle and IBM DB2 environments. This role owns database hardening, least-privilege access control, activity monitoring, and audit/compliance readiness across on-premises and cloud platforms. The ideal candidate blends deep DBA fundamentals with a security-first mindset and hands-on experience with database security tooling.</p><p><strong>Key Responsibilities</strong></p><ul><li>Administer and secure production and non-production Oracle and IBM DB2 databases, with security controls as a primary responsibility rather than an afterthought.</li><li>Manage <strong>Oracle Data Safe</strong> end to end: security assessments, user risk assessments, sensitive data discovery, data masking, activity auditing, and SQL Firewall policy management.</li><li>Design, implement, and maintain <strong>row-based access controls</strong> — Oracle Virtual Private Database (VPD), Oracle Label Security, and Real Application Security; DB2 Row and Column Access Control (RCAC) and Label-Based Access Control (LBAC).</li><li>Own <strong>user maintenance and access governance</strong>: account provisioning and deprovisioning, roles, privileges, grants/revokes, profiles, and password/authentication policies.</li><li>Conduct periodic access reviews and recertification; enforce separation of duties and least-privilege principles.</li><li>Deploy, configure, tune, and monitor <strong>Imperva</strong> (Database Activity Monitoring / Data Security Fabric / database firewall): policies, alerting, blocking rules, and audit reporting.</li></ul><p><br></p>
- 2026-11-09T00:00:00Z
- Glendale, CA
- onsite
- Temporary / Contract
- 72 - 78 USD / Hourly
- <p>We are looking for a Data Governance Engineer to support the implementation, administration, and continuous improvement of enterprise data governance capabilities across a modern cloud data platform. This role will work closely with data platform, security, and product teams to translate governance requirements into scalable technical solutions that improve data security, accessibility, quality, and compliance.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Administer and configure Snowflake security and governance capabilities, including RBAC, dynamic masking, and object tagging.</p><p>· Implement, maintain, and troubleshoot access governance controls within Immuta and other governance platforms.</p><p>· Configure and monitor data quality checks, alerting mechanisms, and governance-related operational processes.</p><p>· Maintain, enrich, and optimize enterprise data catalog content to improve discoverability, classification, and metadata quality.</p><p>· Support the adoption and enhancement of AI-assisted data documentation and description generation tools.</p><p>· Partner with engineering teams to test, validate, and deploy ingest-time data tagging and metadata management solutions.</p><p>· Collaborate with program and product stakeholders to translate governance policies, security requirements, and compliance standards into technical implementations.</p><p>· Support governance operations, incident resolution, root cause analysis, and continuous process improvement initiatives.</p><p>· Participate in evaluations, testing, and implementation of new governance, catalog, quality, and security technologies.</p>
- 2026-10-29T00:00:00Z
- Marysville, OH
- onsite
- Temporary / Contract
- 55 - 65 USD / Hourly
- We are looking for a DBA SQL Level II to support database administration and performance improvement efforts for an automotive environment in Marysville, Ohio. This is a Long-term Contract position requiring an onsite presence four days per week, where you will partner with application and infrastructure teams to guide database-related initiatives and maintain reliable production operations. The role focuses on strengthening availability, scalability, and security across critical database platforms while helping teams make sound technical decisions for upcoming work.<br><br>Responsibilities:<br>• Partner with application stakeholders to gather business and technical needs, then recommend practical database strategies for new and evolving projects.<br>• Improve database efficiency by analyzing workloads, refining SQL performance, and enhancing indexing, caching, and configuration settings.<br>• Oversee database health through ongoing monitoring, using platform-native and third-party tools to identify trends and address emerging risks.<br>• Investigate and resolve performance constraints by tuning queries, adjusting system parameters, and applying appropriate database utilities.<br>• Establish and maintain alerts for availability, performance, and security conditions so issues can be addressed before they affect operations.<br>• Support highly available production databases in a large enterprise setting, ensuring stable service for mission-critical workloads.<br>• Contribute to recovery readiness by maintaining knowledge of logging, backup, and restoration processes aligned with mainframe database operations.<br>• Work closely with cross-functional teams on large-scale initiatives, coordinating database activities, timelines, and technical dependencies.
- 2026-11-10T00:00:00Z