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260 results for Automation Engineer jobs

Data Engineer

Kalamazoo, MI
remote
Permanent / Full Time
150000 - 225000 USD / Yearly
We are looking for a senior-level Data Engineer to shape and deliver a scalable data platform in Kalamazoo, Michigan. This role combines strategic architecture with hands-on engineering, creating reliable data products that support reporting, advanced analytics, and AI-driven solutions. The ideal candidate will build secure, multi-tenant data capabilities with strong attention to privacy, governance, and long-term platform quality. Responsibilities: • Lead the design of a modern data platform that supports ingestion, transformation, storage, and consumption across analytical and operational use cases. • Build and maintain robust batch and streaming pipelines that move data from relational systems, object storage, document databases, and event sources into centralized platforms. • Define data architecture standards, modeling approaches, and engineering practices that improve consistency, reliability, and scalability across the organization. • Create multi-tenant data solutions with strong isolation controls, secure access patterns, and governance measures built into the platform design. • Develop data models and serving layers that enable enterprise reporting, self-service analytics, and AI or machine learning workloads. • Evaluate cloud-based data services, processing frameworks, and warehouse technologies to ensure the platform meets performance, cost, and security expectations. • Partner with product, engineering, and leadership teams to explain technical decisions, highlight risks, and align platform investments with business priorities. • Oversee external vendors and implementation partners by reviewing recommendations, challenging misaligned approaches, and enforcing internal data standards.
2026-05-12T00:00:00Z

Data Engineer

Austin, TX
onsite
Temporary to Hire
54 - 56 USD / Hourly
We are looking for a Data Engineer to join a growing Data & Reporting team in Austin, Texas. This contract opportunity with potential for a permanent role is ideal for a detail-oriented candidate who can turn complex business data into reliable reporting solutions that support informed decision-making across the organization. In this role, you will help build and maintain the data foundation behind dashboards, reports, and analytics tools while partnering with stakeholders to translate business needs into scalable technical solutions. Responsibilities: • Build and enhance data architectures that collect, structure, and deliver information for reporting and analytics use across the organization. • Design, develop, and support end-to-end ETL processes, moving data from source systems into data warehouses, operational stores, and business intelligence platforms. • Partner with business subject matter experts to identify data sources, define reporting needs, and shape data models that align with operational goals. • Create and maintain database solutions that support efficient storage, retrieval, performance tuning, and ongoing system reliability. • Administer server databases by handling upgrades, patching, troubleshooting, and optimization activities to ensure stable production environments. • Develop logical and conceptual data models and expand enterprise data structures to accommodate new business requirements and incoming data sources. • Translate business questions into technical specifications and build reporting-ready datasets, metadata, and presentation-layer objects for dashboards and self-service analytics. • Support data migration efforts from legacy platforms to modern solutions, including development, testing, deployment preparation, and code promotion activities. • Work closely with stakeholders to determine which metrics and data elements provide the most value for visual reporting and decision support. • Contribute to additional data engineering and reporting initiatives as business priorities evolve.
2026-05-18T00:00:00Z

Data Engineer

Tampa, FL
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for a skilled Data Engineer to join our team in Tampa, Florida. This is a Contract to permanent position, offering an excellent opportunity to contribute to innovative business intelligence solutions while advancing your career. The ideal candidate will have a strong background in data engineering, database design, and analytics, with the ability to solve complex problems and deliver high-quality results. Responsibilities: • Design and implement robust business intelligence solutions tailored to meet organizational needs. • Collaborate with stakeholders to gather user requirements and translate them into technical and functional specifications. • Create and maintain databases and data marts that support analytics and reporting activities. • Develop and optimize ETL processes to efficiently load data into data marts. • Monitor and ensure the accuracy, consistency, and quality of data within databases and reporting systems. • Recommend and implement governance practices to improve self-service BI and analytics capabilities. • Develop automated data validation checks to maintain data integrity and accuracy. • Utilize dimensional modeling and star/snowflake schemas to design effective data warehouses. • Troubleshoot and debug issues across application and database layers to ensure smooth operations. • Perform exploratory data analysis to identify trends, anomalies, and areas for improvement.
2026-05-06T00:00:00Z

Data Engineer

Austin, TX
onsite
Temporary to Hire
30 - 40 USD / Hourly
Data EngineerOn-site | Austin, TX | Contract Robert Half is partnering with a financial services organization to hire a Data Engineer in Austin, TX. This contract opportunity is ideal for someone with 3 years of experience building and optimizing modern data pipelines and analytics environments. The role focuses on moving data across cloud-based platforms to support reliable reporting, stronger data visibility, and informed decision-making across the organization. Responsibilities:• Build and maintain data pipelines that move information from data lake environments into structured warehouse and reporting platforms.• Develop, schedule, and optimize ETL and ELT workflows using Matillion to support dependable data delivery.• Design and manage Snowflake data models that improve accessibility, performance, and scalability for business users.• Partner with analytics and reporting stakeholders to prepare datasets that support Tableau dashboards and visual insights.• Monitor data processing jobs, troubleshoot failures, and resolve quality issues to maintain trusted data assets.• Work within AWS-based environments to support secure, efficient, and scalable data integration processes.• Collaborate with cross-functional teams to understand data needs and translate them into practical engineering solutions.
2026-05-08T00:00:00Z

Data Engineer

Houston, TX
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Engineer to support the design, development, and optimization of modern data solutions in Houston, Texas. This Long-term Contract position is ideal for someone who enjoys building reliable pipelines, working with large-scale datasets, and improving the flow of information across systems. The role offers the opportunity to contribute technical expertise in a collaborative environment focused on performance, scalability, and data quality. Responsibilities: • Build and maintain scalable data pipelines that collect, transform, and deliver data for analytics and operational use. • Develop ETL processes that improve the accuracy, consistency, and availability of data across multiple sources. • Use Python and Apache Spark to process large datasets efficiently and support advanced data engineering workflows. • Work with Hadoop-based environments to manage distributed data processing and storage activities. • Integrate streaming and messaging solutions using Apache Kafka to support timely data movement and event-driven processing. • Monitor pipeline performance, troubleshoot failures, and implement enhancements that strengthen reliability and efficiency. • Partner with technical and business stakeholders to understand data needs and translate them into practical engineering solutions.
2026-05-15T00:00:00Z

Data Engineer

Camden, NJ
onsite
Permanent / Full Time
90000 - 130000 USD / Yearly
We are looking for a Data Engineer to join a team focused on building reliable, scalable data solutions. In this role, you will create and enhance cloud-based data pipelines, organize data for analytics, and help ensure that business teams have access to trusted information. This position also partners closely with technical and non-technical stakeholders to turn reporting and data needs into practical engineering outcomes. Responsibilities:• Create and support scalable data ingestion and transformation workflows using Azure Data Factory, Databricks, and PySpark.• Connect and consolidate data from enterprise platforms, operational databases, telematics feeds, APIs, and other internal or external sources.• Structure and manage data within Azure Data Lake and lakehouse environments to support performance, accessibility, and long-term maintainability.• Design curated datasets, data models, and schemas that improve usability for analytics, business intelligence, and downstream reporting.• Apply governance and lineage practices through Unity Catalog while promoting strong data quality, consistency, and security standards.• Work with business stakeholders and cross-functional teams to gather requirements, define technical specifications, and deliver data solutions aligned with operational needs.• Improve pipeline stability and efficiency by troubleshooting failures, resolving performance issues, and refining storage and query strategies.• Support Power BI reporting by preparing datasets, assisting with model improvements, and helping maintain reporting standards and governance practices.• Use GitHub-based development practices for version control, peer review, CI/CD, and disciplined deployment processes.• Mentor less-experienced engineers and contribute to a collaborative environment focused on continuous improvement and dependable delivery.
2026-04-30T00:00:00Z

Data Engineer

Grand Rapids, MI
onsite
Permanent / Full Time
110000 - 140000 USD / Yearly
We are looking for a talented Data Engineer to join our team in Grand Rapids, Michigan. In this role, you will focus on designing, building, and optimizing robust data solutions using Snowflake and other cloud-based technologies. You will work closely with business intelligence and analytics teams to deliver scalable, high-performance data pipelines that support organizational goals. Responsibilities: • Design and implement scalable data models, schemas, and tables within Snowflake, including staging, integration, and presentation layers. • Develop and optimize data pipelines using Snowflake tools such as Snowpipe, Streams, Tasks, and stored procedures. • Ensure data security and access through role-based controls and best practices for data sharing. • Build and maintain ETL pipelines leveraging tools like dbt, Matillion, Fivetran, Informatica, or Azure-native solutions. • Integrate data from diverse sources such as APIs, IoT devices, and NoSQL databases to create unified datasets. • Enhance performance by utilizing clustering, partitioning, caching, and efficient warehouse sizing strategies. • Collaborate with cloud technologies such as AWS, Azure, or Google Cloud to support Snowflake infrastructure and operations. • Implement automated workflows and CI/CD processes for seamless deployment of data solutions. • Maintain high standards for data accuracy, completeness, and reliability while supporting governance and documentation. • Work closely with analytics, reporting, and business teams to troubleshoot issues and deliver scalable solutions.
2026-05-08T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a Data Engineer to support the design, development, and maintenance of scalable data solutions within a Microsoft-focused environment. This role will work closely with business and technical teams to support reporting, analytics, and data integration initiatives.Responsibilities<ul><li>Develop and maintain data pipelines and ETL processes</li><li>Support data integration and transformation efforts</li><li>Build and optimize SQL queries, stored procedures, and database solutions</li><li>Assist with data warehousing and reporting initiatives</li><li>Monitor data quality, integrity, and system performance</li><li>Collaborate with analysts, developers, and business stakeholders</li><li>Support documentation and troubleshooting efforts</li></ul>
2026-05-12T00:00:00Z

Data Engineer

Denton, TX
onsite
Permanent / Full Time
100000 - 120000 USD / Yearly
Our client is looking for an experienced Data Governance Analyst to join their growing team. They need someone who can: Lead the development and implementation of data governance frameworks to support academic, administrative, and research data needs across the university system. Establish data stewardship roles and clarify data ownership for key institutional domains such as student information, financial aid, HR, research compliance, and finance. Create and enforce data policies, standards, and procedures to improve data quality, accuracy, accessibility, and security across campuses and departments. Ensure compliance with higher-ed regulatory and reporting requirements (e.g., FERPA, IPEDS, NCAA, state reporting), and coordinate with Legal, IT Security, and Institutional Compliance teams. Implement and optimize governance technology (data catalog, lineage, and quality tools) to support system-wide reporting, analytics, and decision support. Promote data literacy and provide training to faculty, staff, and administrators to enhance responsible and effective data use. Facilitate collaboration across academic units, administrative offices, and central IT to align governance efforts with institutional priorities and operational needs. Monitor data quality and governance KPIs, report progress to leadership, and drive continuous improvement to support strategic planning, accreditation, and institutional research initiatives. Expereince as a Data Governance analyst. They have a fragmented Data Governance framework in place, and the goal is for this person to unify it across the enterprise. The ideal candidate will be a data Governance Analyst looking for a more challenging opportunity to lead the implementation of Purview and advancing our data governance practices. Administration experience with Microsoft Purview or a similar tool like Collibra, Informatica, Databricks, Etc. This role will be assisting to connect Microsoft Fabric to Purview. Experience with Microsoft Purview is preferred. They have the Data Security layer of Purview implemented. This role will be working with the Microsoft partner implement the Data Governance layer (Unified Data Catalogue, Data Quality, Data Lineage, Data Health management.) See attached overview. Excellent communication skills. Someone who will lead change and help advance their DG practice. Get buy in from stakeholders.
2026-05-14T00:00:00Z

Data Engineer

Albuquerque, NM
onsite
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is seeking a Data Engineer to build, scale, and lead high‑impact data solutions. This role combines hands‑on data engineering with team leadership, mentoring, and oversight of end‑to‑end analytics pipelines that turn raw data into actionable business insights.This role will be Business facing, working with departments across the organization to address data solutions.This role is Onsite in Albuquerque, New Mexico What You’ll DoLead and mentor a team of data engineers and analysts; set standards, review work, and support professional growthDesign, build, and oversee scalable ETL pipelines using Python, SQL, SSIS, and AirflowDevelop dimensional data models using Kimball methodologyCreate dashboards and reports using Power BI and SSRSPartner with business and IT stakeholders on analytics, ad hoc reporting, and data initiativesEnsure data quality, governance, and compliance with PCI, PII, and regulatory standardsAutomate workflows and reporting using Python, PowerShell, and modern analytics toolsOther duties as needed
2026-04-24T00:00:00Z

Data Engineer

Montvale, NJ
onsite
Permanent / Full Time
125000 - 150000 USD / Yearly
We are seeking a highly skilled Data Engineer to design, build, and manage our data infrastructure. The ideal candidate is an expert in writing complex SQL queries, designing efficient database schemas, and developing ETL/ELT pipelines. This role ensures data accuracy, accessibility, and performance optimization to support business intelligence, analytics, and reporting initiatives. Key Responsibilities Database Design & Management<ul><li>Design, develop, and maintain relational databases, including SQL Server, PostgreSQL, and Oracle, as well as cloud-based data warehouses.</li></ul>Strategic SQL & Data Engineering<ul><li>Develop advanced, optimized SQL queries, stored procedures, and functions to process and analyze large, complex datasets and deliver actionable business insights.</li></ul>Data Pipeline Automation & Orchestration<ul><li>Build, automate, and orchestrate ETL/ELT workflows using SQL, Python, and cloud-native tools to integrate and transform data from diverse, distributed sources.</li></ul>Performance Optimization<ul><li>Tune SQL queries and optimize database schemas through indexing, partitioning, and normalization to improve data retrieval and processing performance.</li></ul>Data Integrity & Security<ul><li>Ensure data quality, consistency, and integrity across systems.</li><li>Implement data masking, encryption, and role-based access control (RBAC).</li></ul>Documentation<ul><li>Maintain comprehensive technical documentation, including database schemas, data dictionaries, and ETL workflows.</li></ul>
2026-04-28T00:00:00Z

Data Engineer

Charlotte, NC
remote
Permanent / Full Time
0 - 0 USD / Yearly
<ul><li>Design, develop, and optimize data pipelines using Azure Data Services (Azure Data Factory, Azure Data Lake Storage, Azure Synapse).</li><li>Build and maintain scalable ETL/ELT workflows using Databricks (Spark, PySpark, Delta Lake).</li><li>Implement and manage data orchestration and dependency management using Dagster or similar tools.</li><li>Partner with analytics, data science, and product teams to ensure reliable, high-quality data availability.</li><li>Optimize data models and storage strategies for performance, scalability, and cost efficiency.</li><li>Ensure data quality, observability, and reliability through monitoring, logging, and automated validation.</li><li>Support CI/CD pipelines and infrastructure-as-code practices for data platforms.</li><li>Enforce data security, governance, and compliance best practices within Azure.</li></ul>
2026-04-22T00:00:00Z

Data Engineer

Spartanburg, SC
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for a Data Engineer to help shape and strengthen the organization’s data ecosystem in Spartanburg, South Carolina. This role focuses on building scalable data structures and reliable integration solutions that support analytics, operational reporting, and long-term business goals. The ideal candidate brings a strong background in modern data platforms and enjoys partnering with technical and business teams to deliver secure, high-quality data solutions. Responsibilities: • Develop and refine data models, storage frameworks, and analytical repositories that enable efficient access to trusted information. • Create scalable architecture approaches that support enterprise objectives while improving performance, reliability, and long-term maintainability. • Establish data design standards, architectural patterns, and governance practices that promote consistency, quality, and security across platforms. • Partner with software developers, analytics teams, and business stakeholders to translate operational needs into practical data solutions. • Build and enhance data pipelines and integration processes that move information accurately across systems and support reporting and analysis. • Implement processes for master data, metadata, and data quality management to strengthen governance and regulatory compliance. • Assess emerging tools, cloud technologies, and platform options to recommend solutions that balance cost, scalability, and functionality. • Work closely with data engineering peers to encourage strong technical alignment, knowledge sharing, and continuous improvement across the team.
2026-05-05T00:00:00Z

Data Engineer

Nashville, TN
onsite
Temporary / Contract
62 - 74 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>
2026-05-05T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Permanent / Full Time
120000 - 140000 USD / Yearly
We are looking for an experienced Data Engineer to help design and support scalable cloud-based data platforms in Jacksonville, Florida. This role focuses on building resilient data solutions in Azure, improving end-to-end data processing, and helping ensure strong performance across distributed systems. You will work closely with global engineering partners, contribute technical direction, and support a reliable delivery model in an Agile environment. Responsibilities: • Design, implement, and maintain cloud data infrastructure within Azure, using automation and infrastructure-as-code practices to improve consistency and scalability. • Build and enhance enterprise data pipelines for ingestion, transformation, and processing using Databricks, Apache Spark, and Azure Data Factory. • Provide technical leadership for cloud data platforms by driving architecture decisions that strengthen availability, performance, and long-term scalability. • Collaborate daily with offshore and international engineering teams to align on development priorities, review code, and share technical knowledge across time zones. • Participate actively in Agile ceremonies such as sprint planning, stand-ups, backlog refinement, readiness reviews, and retrospectives to support predictable delivery. • Mentor data engineers through coaching, design guidance, and code review feedback that promotes high engineering standards. • Support production operations by investigating incidents, resolving system bottlenecks, and leading root-cause analysis to improve platform reliability. • Create and maintain architecture documentation, operational runbooks, and technical decision records to support distributed team execution.
2026-05-16T00:00:00Z

Data Engineer

Asheboro, NC
onsite
Permanent / Full Time
125000 - 150000 USD / Yearly
We are looking for an experienced Data Engineer to design and support data exchange solutions that connect external business partners with internal systems. This role will mainly work remotely with different office locations. We are looking for a candidate who lives in NC, within 2 hours of Greensboro, NC. This role focuses on building reliable integration processes, transforming structured files and API-based data, and ensuring critical information is available for reporting and operational use. The ideal candidate brings strong technical depth in data movement and troubleshooting, along with a practical understanding of manufacturing and supply chain workflows. Responsibilities:• Build and maintain business-to-business data interfaces that onboard new partner organizations and align incoming data with internal database structures.• Develop automated workflows that ingest, transform, validate, and deliver data using file-based exchanges, APIs, and structured transaction formats such as EDI and X12.• Configure and manage end-to-end integration processes across system interfaces, including flat-file handling, file sharing, and reporting-related data movement.• Lead data transformation efforts through the full lifecycle by designing solutions, testing functionality, deploying processes, and stabilizing production performance.• Investigate integration failures or data quality issues, identify root causes, and implement corrective actions to restore reliable processing.• Partner with business intelligence and reporting teams to provide access to accurate, usable data sources that support analysis and operational decision-making.• Apply manufacturing and supply chain process knowledge to structure data flows that support purchasing, components, orders, and assembly-related transactions.• Use available tools and platforms to execute integration projects independently, including extracting data from enterprise applications and translating it into usable formats.• Create scalable data pipelines that enable customer and order transactions to move through systems with minimal manual intervention.
2026-05-01T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
Seeking a Data Engineer to build and maintain data pipelines and reporting systems.Responsibilities<ul><li>Design and maintain ETL processes</li><li>Work with large datasets in SQL</li><li>Optimize database performance</li><li>Support BI/reporting teams</li></ul>
2026-05-05T00:00:00Z

Data Engineer

Cleveland, OH
onsite
Permanent / Full Time
120000 - 130000 USD / Yearly
We are looking for an experienced Data Engineer to join our team in Cleveland, Ohio. In this role, you will design, implement, and optimize data solutions that support business intelligence and analytics needs. If you have a passion for working with cutting-edge technologies and thrive in a fast-paced environment, this opportunity is for you. Responsibilities:• Develop and refine data models to ensure optimal performance and scalability.• Design and implement data warehouse solutions for managing structured and unstructured data.• Create and maintain data integration processes to support analytics and data-driven applications.• Establish robust data quality and validation protocols to guarantee accuracy and consistency.• Collaborate with business intelligence teams and stakeholders to gather requirements and deliver tailored solutions.• Monitor and address issues within data pipelines, including performance bottlenecks and system errors.• Research and adopt emerging technologies and best practices to enhance data engineering capabilities.
2026-05-12T00:00:00Z

Data Engineer

Austin, TX
onsite
Temporary / Contract
57 - 63 USD / Hourly
We are looking for a Data Engineer to join a long-term contract opportunity based in Austin, Texas. In this role, you will turn high-level data architecture direction into practical engineering solutions that strengthen a warehouse-first approach and improve how data is collected, transformed, governed, and shared. You will work with technical and business partners to build reliable data foundations that support both operational processes and analytics. This position also plays an important part in elevating internal data engineering practices through clear documentation, reusable standards, and hands-on knowledge sharing. Responsibilities: • Convert architectural guidance into scalable data pipeline designs and warehouse implementation patterns that support consistent delivery. • Build and maintain workflows that ingest source data, prepare it for downstream use, and organize it across raw, staging, curated, and consumption layers. • Assess integration approaches and recommend when data should move directly between applications versus through the warehouse for better governance and reuse. • Create repeatable standards for orchestration, transformation, testing, monitoring, documentation, and support handoff. • Develop and support cloud data warehouse solutions using Snowflake, Matillion, DBT, or comparable data engineering tools based on platform needs. • Collaborate closely with integration and cross-functional team members to explain technical choices, guide implementation decisions, and strengthen team capability. • Produce clear documentation covering data flows, lineage, dependencies, architecture decisions, and operational expectations. • Deliver hands-on engineering leadership that enables durable solutions without creating long-term dependency on external support.
2026-05-18T00:00:00Z

Data Engineer

Oklahoma City, OK
onsite
Permanent / Full Time
100000 - 125000 USD / Yearly
A Manufacturing and distribution company is looking for a Data Engineer with 3 + yeasr of experience to join a dynamic team in Oklahoma City, Oklahoma. In this role, you will play a crucial part in designing and maintaining 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. 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 practice
2026-05-01T00:00:00Z

Data Engineer

West Los Angeles, CA
onsite
Permanent / Full Time
150000 - 200000 USD / Yearly
We are looking for a Data Engineer to help transform business data into reliable, accessible insights that support decision-making across the organization. This role partners with teams such as asset management, acquisitions, accounting, and HR to build reporting solutions, improve data quality, and streamline access to critical information. Based in Los Angeles, California, the position is well suited for someone who enjoys combining technical expertise with business collaboration in a fast-moving environment. Responsibilities: • Build and enhance dashboards, reports, and automated data workflows using tools such as Python, Excel, and Power BI. • Translate business questions into scalable reporting and analytics solutions by working closely with stakeholders across multiple departments. • Examine large and complex datasets to uncover trends, exceptions, and actionable insights that support operational and strategic decisions. • Design and maintain data extraction, transformation, and loading processes, including query development and performance optimization. • Monitor data accuracy through regular validation, issue resolution, and ongoing improvements to data governance practices. • Support and guide entry-level BI team members by reviewing work, sharing best practices, and encouraging career growth. • Explain technical findings in a clear way to non-technical audiences to promote understanding and adoption of data solutions. • Lead or contribute to cross-functional initiatives that improve data accessibility, usability, and reporting effectiveness across the business. • Administer BI platforms to maintain performance, reliability, and appropriate security controls. • Deliver user support and training to help employees make effective use of reporting tools and interpret data confidently.
2026-05-11T00:00:00Z

Information Systems Engineer

Jamesburg, NJ
remote
Temporary to Hire
41.1635 - 47.663 USD / Hourly
Key Responsibilities • Provide Tier 1 and Tier 2 support for end users across voice, data, applications, and desktop systems • Troubleshoot and resolve hardware, software, and network-related issues both remotely and onsite • Support and administer Windows Server environments and Active Directory • Manage and maintain Microsoft 365 (O365) including Exchange, SharePoint, OneDrive, and MFA • Configure, deploy, and support Windows 10/11 workstations and peripherals • Support and troubleshoot LAN/WAN connectivity, VOIP systems, and network devices • Monitor and manage system backups, disaster recovery processes, and infrastructure performance • Lead and participate in IT projects, including site setups, upgrades, and deployments • Evaluate hardware/software needs and recommend solutions aligned with business requirements • Collaborate with vendors, procurement, and internal teams on technology solutions and services • Maintain accurate documentation of systems, processes, and infrastructure • Manage hardware/software inventory and ensure proper asset tracking • Provide technical guidance to team members and act as an escalation point when needed • Deliver regular updates on project status and system performance to leadership
2026-05-18T00:00:00Z

Security Framework Engineer

Delray Beach, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a highly experienced Microsoft Security Framework Engineer to lead the full activation and optimization of the Microsoft Security stack within our Microsoft 365 E5 environment. This is a critical contract role focused on designing, configuring, and deploying a comprehensive security framework to protect endpoints, identities, cloud applications, email, and sensitive Protected Health Information (PHI).The successful candidate will serve as the subject matter expert responsible for implementing Microsoft Defender and Purview capabilities from the ground up, ensuring alignment with industry best practices and regulatory requirements. Key Responsibilities<ul><li>Lead the end-to-end design, configuration, and deployment of the full Microsoft Security stack, including:</li><li>Microsoft Defender for Endpoint</li><li>Microsoft Defender for Office 365 Plan 2</li><li>Microsoft Defender for Identity</li><li>Microsoft Defender for Cloud Apps</li><li>Entra ID Protection</li><li>Microsoft Purview (Data Loss Prevention (DLP) and Sensitivity Labels for PHI)</li><li>Architect and implement a cohesive Microsoft security framework that integrates all components for maximum protection and visibility</li><li>Configure advanced threat protection, automated investigation and response (AIR), attack surface reduction rules, and device control policies</li><li>Design and deploy Purview DLP policies and sensitivity labeling strategies tailored for PHI protection and regulatory compliance (HIPAA, etc.)</li><li>Implement Entra ID Protection policies, Conditional Access, and identity threat detection capabilities</li><li>Conduct security assessments, gap analysis, and provide recommendations to strengthen the overall security posture</li><li>Collaborate with internal IT, security, and compliance teams to ensure successful adoption and operational handover</li><li>Develop documentation, runbooks, and knowledge transfer materials for ongoing management and maintenance</li><li>Provide expert guidance on Microsoft 365 E5 security licensing, features, and roadmap</li></ul>
2026-05-15T00:00:00Z

IT Security Engineer

Washington, DC
onsite
Permanent / Full Time
130000 - 150000 USD / Yearly
Job Summary:We are seeking an experienced IT Security Engineer to help safeguard the organization’s systems, data, and infrastructure. This role is responsible for identifying security risks, leading incident response efforts, supporting audit and certification activities, and ensuring compliance with applicable legal and regulatory requirements. The ideal candidate will bring strong technical security expertise, a proactive mindset, and the ability to develop and enforce enterprise-wide security policies.Key Responsibilities:<ul><li>Conduct security assessments, vulnerability scans, and risk analyses to identify, evaluate, and remediate potential security threats.</li><li>Monitor the organization’s security posture and recommend improvements to strengthen defenses across systems, networks, and applications.</li><li>Serve as the primary point of contact for external security audits and certification processes, including ISO certification and related compliance reviews.</li><li>Develop, implement, and maintain incident response plans, corporate security policies, standards, and procedures.</li><li>Lead security investigations, document findings, and coordinate remediation efforts following security incidents.</li><li>Conduct regular incident response testing, tabletop exercises, and reviews to ensure organizational readiness.</li><li>Ensure compliance with legal, regulatory, and industry security requirements, including CCPA, GDPR, and HIPAA.</li><li>Maintain and enforce firm-wide security policies, controls, and best practices to support compliance and risk management objectives.</li><li>Partner with internal stakeholders across IT, legal, compliance, and business teams to address security risks and improve overall governance.</li><li>Stay current on emerging threats, vulnerabilities, and regulatory changes to continuously enhance the organization’s security program.</li></ul>
2026-04-21T00:00:00Z

DevOps Engineering Manager

Fort Washington, PA
remote
Permanent / Full Time
170000 - 190000 USD / Yearly
We are looking for an experienced DevOps Engineering Manager to lead platform and automation efforts in Fort Washington, Pennsylvania. This role will guide a team responsible for improving software delivery, strengthening infrastructure reliability, and advancing cloud operations across modern engineering environments. The ideal candidate brings a blend of people leadership and technical depth, with the ability to shape DevOps practices that support scalable, secure, and efficient product delivery. Responsibilities: • Guide and develop a DevOps team by promoting ownership, continuous learning, and strong engineering practices across day-to-day operations. • Create and implement a plan to elevate operational capabilities, helping team members grow into modern DevOps-focused roles. • Work closely with engineering, product, and business leaders to align platform investments with delivery objectives and organizational priorities. • Establish and advance DevOps standards across continuous integration, deployment automation, observability, reliability, and security practices. • Design, enhance, and scale CI/CD pipelines to support dependable, repeatable, and efficient software releases across multiple teams. • Lead the adoption of infrastructure as code using tools such as Terraform, Ansible, CloudFormation, Terragrunt, or Bicep to improve consistency and governance. • Oversee cloud infrastructure strategy across Azure and AWS, ensuring environments are secure, resilient, and capable of supporting high-traffic digital experiences. • Define and monitor operational and delivery metrics to improve deployment performance, system uptime, incident response, and overall engineering efficiency. • Drive cloud cost awareness and optimization efforts by partnering with finance and technical stakeholders to improve visibility and resource utilization. • Strengthen production readiness through effective monitoring, alerting, incident management, and the integration of DevSecOps principles into pipelines and infrastructure.
2026-04-21T00:00:00Z

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