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156 results for Big Data Engineer jobs

Data Engineer

San Francisco, CA
remote
Temporary / Contract
65 - 70 USD / Hourly
We are looking for a Contract Data Engineer to support financial systems and data operations in San Francisco, California. This is a remote on-going contract. This role will work across Finance, Systems, and Engineering to improve data reliability, strengthen integrations, and enhance platforms that support billing, accounts payable, and quote-to-cash workflows. The ideal candidate brings deep technical expertise with NetSuite and Snowflake, along with strong coding skills to diagnose issues, streamline processes, and build scalable solutions in a complex systems environment. Responsibilities:• Build, monitor, and refine data pipelines that move financial and transactional information across internal platforms and enterprise systems.• Investigate data issues, resolve integration failures, and improve the overall accuracy and consistency of business-critical datasets.• Develop and maintain middleware solutions that connect NetSuite, Salesforce, Snowflake, and custom applications.• Partner with Finance, Systems, and Engineering stakeholders to deliver technical enhancements that support accounting operations and downstream reporting.• Implement improvements within NetSuite and related financial systems to better support billing, accounts payable, and quote-to-cash processes.• Troubleshoot code and system behaviors using SQL, Python, and related tools to identify root causes and restore reliable performance.• Support integration workflows between Salesforce and NetSuite, ensuring stable data exchange and operational continuity.• Evaluate and contribute to automation initiatives, including AI-enabled workflow opportunities that can reduce manual effort and improve efficiency.
2026-08-19T00:00:00Z

Data Engineer

Los Angeles, CA
onsite
Permanent / Full Time
130000 - 140000 USD / Yearly
Data Engineer Company OverviewA leading food manufacturing and distribution organization is seeking a Data Engineer to support enterprise data initiatives and drive business intelligence capabilities. Based in Los Angeles, California, the company serves a large network of customers through innovative operations, quality-focused processes, and data-driven decision making. This is an opportunity to join a collaborative team where technology and analytics play a critical role in business growth and operational excellence. Role SummaryThe Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines that support reporting, analytics, and business operations. This role will partner closely with analysts and cross-functional stakeholders to transform raw data into reliable, actionable insights. The ideal candidate brings experience in manufacturing or food production environments and possesses strong expertise in data warehousing, ETL development, cloud technologies, and reporting platforms. Key Responsibilities<ul><li>Design, develop, and maintain scalable ETL and ELT data pipelines.</li><li>Build and optimize data workflows that consolidate information from multiple business systems.</li><li>Partner with business stakeholders and analysts to translate data requirements into technical solutions.</li><li>Develop and maintain data models and warehouse structures to support reporting and analytics.</li><li>Monitor, troubleshoot, and enhance data pipelines to ensure data accuracy, integrity, and availability.</li><li>Optimize data storage and retrieval processes for performance, scalability, and reliability.</li><li>Support business intelligence initiatives by delivering clean, trusted datasets for reporting and dashboards.</li><li>Create and maintain technical documentation for data architecture, processes, and workflows.</li><li>Collaborate with engineering, analytics, and business teams to drive data-driven decision making.</li><li>Stay current on emerging technologies and best practices in data engineering and analytics.</li></ul>Additional Details<ul><li>Work model: On-site for the first 90 days, transitioning to a hybrid schedule thereafter</li><li>Join a team of analytics professionals supporting enterprise reporting and data initiatives</li><li>Opportunity to have a direct impact on operational and business performance through data solutions</li></ul>
2026-08-20T00:00:00Z

Data Engineer

Boston, MA
onsite
Temporary / Contract
39.5865 - 45.837 USD / Hourly
We are looking for a Data Engineer to support enterprise data movement and application integration efforts in Boston, Massachusetts. This Long-term Contract position will focus on building, maintaining, and enhancing custom services that transfer, load, and transform data across multiple systems. The role works closely with technical and business teams to deliver reliable integration solutions using .NET/C#, APIs, and modern deployment practices. Responsibilities: • Design, support, and improve custom integration services that move data between enterprise platforms and applications. • Build and maintain ETL processes for data loading, transformation, and system-to-system exchange. • Develop microservice-based solutions in .NET/C# to replace larger legacy integration components where needed. • Create and support API-driven integrations, including services that rely on REST and SOAP protocols. • Partner with business analysts, developers, and solution stakeholders to translate operational needs into technical data workflows. • Monitor data pipelines and integration jobs, troubleshoot failures, and resolve performance or reliability issues. • Contribute to deployment and release activities using Azure DevOps or comparable CI/CD tools. • Support integrations involving key enterprise platforms such as Salesforce and higher education systems when applicable.
2026-08-19T00:00:00Z

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.
2026-08-04T00:00:00Z

Data Engineer

Erlanger, KY
onsite
Temporary / Contract
38 - 44 USD / Hourly
We are looking for a detail-focused Engineer/Analyst to join a Long-term Contract assignment supporting technical data quality and material information management in northern Kentucky. In this role, you will help maintain accurate, standardized data for raw materials and packaging components so teams can move product development, supplier onboarding, and manufacturing activities forward efficiently. This position works closely with research, quality, procurement, operations, and master data partners to strengthen consistency across systems and improve the reliability of material records. This role will be onsite 4 days a week and 1 day remote. Must be comfortable working in a lab/plant manufacturing setting. YOU MUST LIVE IN KY or OH to be considered. No option for remote work. Responsibilities:• Manage the collection, review, and entry of technical specifications for raw materials and packaging components within designated data and specification platforms.• Verify that material records are complete, accurate, and aligned with company standards, compliance expectations, and approved documentation.• Apply consistent naming structures, formatting rules, and data standards to improve usability across regional and enterprise systems.• Investigate missing, conflicting, or outdated information in material specifications and resolve issues through coordination with cross-functional stakeholders.• Maintain material master records and ensure proper connections between specification data, system entries, and related documentation.• Build, revise, and validate bills of materials to support production readiness, product updates, supplier changes, and ongoing improvement efforts.• Partner with master data, procurement, operations, and technical teams to enhance data governance practices and streamline data management processes.• Monitor assigned project activities and data deliverables to help keep timelines on track and support broader documentation standardization efforts.
2026-08-21T00:00:00Z

Data Engineer

Southborough, MA
remote
Temporary / Contract
63.3365 - 73.337 USD / Hourly
We are looking for a Data Engineer to join a long-term, 100% remote contract opportunity. This role will focus on strengthening and modernizing the organization’s reporting environment by improving how data is collected, connected, transformed, and presented through Power BI. The ideal candidate will bring strong hands-on experience building enterprise-grade data solutions and will be comfortable working independently in an environment that values initiative, problem-solving, and practical execution. Responsibilities:• Design and enhance data pipelines that move information reliably across systems and support accurate business reporting.• Integrate data from multiple internal and external sources so platforms communicate effectively and deliver consistent outputs.• Refine and elevate existing Power BI solutions by improving data models, report performance, usability, and visualization quality.• Establish automated data refresh schedules and workflow orchestration to support timely and dependable reporting operations.• Build scalable transformation processes that prepare raw data for downstream analytics, dashboards, and operational insights.• Connect and manage end-to-end data flows to ensure information is routed to the proper destinations with strong data integrity.• Apply enterprise data engineering practices, including medallion architecture and Microsoft Fabric capabilities, to support a sustainable analytics framework.• Partner with stakeholders to identify gaps, propose effective solutions, and implement improvements with minimal oversight in a fast-moving environmen
2026-08-19T00:00:00Z

Data Engineer

Austin, TX
onsite
Temporary / Contract
50 - 55 USD / Hourly
Robert Half is actively partnering with an Austin-based client to identify a Data Engineer (contract). In this role, you will support enterprise data initiatives and help build scalable data solutions that drive operational efficiency and business insights. This role will partner closely with business stakeholders, analysts, and technical teams to design, develop, and maintain data integrations that support reporting, analytics, and decision-making across the organization. This role is onsite in Austin, Tx. Key Responsibilities:<ul><li>Build and maintain data pipelines and integration processes across multiple systems and data sources.</li><li>Translate business requirements into scalable technical solutions.</li><li>Develop and maintain data architecture, integration, and process documentation.</li><li>Monitor, troubleshoot, and optimize data pipeline performance and reliability.</li><li>Partner with cross-functional teams to deliver high-quality data solutions.</li><li>Ensure data quality through validation, monitoring, and error-handling processes.</li><li>Resolve data-related issues and perform root-cause analysis.</li><li>Participate in code reviews, performance tuning, and continuous improvement initiatives.</li><li>Collaborate with analysts, developers, and business users to support reporting and analytics needs.</li><li>Contribute to shared data models, standards, and governance efforts.</li></ul>
2026-08-07T00:00:00Z

Data Engineer

Atlanta, GA
onsite
Permanent / Full Time
140000 - 145000 USD / Yearly
We are looking for an experienced Data Engineer to join our team in the Metro Atlanta area. This role will focus on designing, developing, and optimizing data pipelines within a modern Azure cloud environment. The ideal candidate will have strong hands-on experience with Azure and Databricks, excellent problem-solving abilities, and the ability to work closely with Data Scientists and business stakeholders to deliver reliable, scalable data solutions. Responsibilities: • Design, develop, maintain, and optimize scalable data pipelines and ETL/ELT processes. • Troubleshoot data pipelines that are missing SLAs by identifying bottlenecks and implementing solutions to improve performance and processing efficiency. • Work with large volumes of structured and unstructured data while maintaining strong data quality and reliability. • Develop and optimize data solutions using Python, SQL, PySpark, Azure, and Databricks. • Build and manage Databricks pipelines and workflows within a production environment. • Rework and improve existing data structures to support analytics, forecasting, and machine learning initiatives. • Partner closely with Data Scientists to develop and maintain data pipelines supporting predictive modeling and machine learning projects. • Analyze existing data environments and proactively identify opportunities to improve performance, reliability, and data quality. • Collaborate with technical teams and business stakeholders to understand requirements and translate complex data concepts into practical solutions. • Communicate effectively with customers and stakeholders, including those without a technical background. • Work independently in a fast-paced environment while adapting to changing priorities and project requirements. • Apply strong critical thinking and analytical skills to solve complex data engineering challenges. • Support data governance and data management best practices across the organization. • Utilize DevOps practices and tools, including Azure DevOps, to support efficient development and deployment processes. • Contribute to the development of modern data and analytics capabilities that support business intelligence, forecasting, and AI initiatives.
2026-08-19T00:00:00Z

Data Engineer

Spring, TX
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Engineer to support scalable data solutions for a long-term contract opportunity in The Woodlands, Texas. This role focuses on designing and optimizing data pipelines, integrating large-scale data sources, and enabling reliable access to critical business information. The ideal candidate will bring strong hands-on experience with modern big data technologies and a practical approach to building efficient ETL workflows. Responsibilities: • Build, maintain, and enhance robust data pipelines to process large volumes of structured and unstructured information. • Develop ETL workflows that transform raw data into reliable datasets for analytics, reporting, and operational use. • Use Python and Apache Spark to engineer high-performance data processing solutions across distributed environments. • Work with Apache Hadoop ecosystems to manage storage and support scalable data operations. • Integrate streaming and event-driven data using Apache Kafka to improve data availability and timeliness. • Monitor data workflows, troubleshoot processing issues, and implement improvements that increase reliability and efficiency. • Collaborate with technical and business stakeholders to understand data needs and translate them into practical engineering solutions. • Document pipeline architecture, data flow logic, and operational procedures to support maintainability and team knowledge sharing.
2026-08-13T00:00:00Z

Data Engineer

Cincinnati, OH
onsite
Temporary / Contract
67.45 - 78.1 USD / Hourly
We are looking for a Data Engineer to support scalable data solutions for a Long-term Contract position based in Cincinnati, Ohio. This role focuses on building reliable data pipelines, optimizing data movement across platforms, and enabling efficient access to high-quality datasets for business and technical teams. The ideal candidate brings strong hands-on experience with modern big data tools and a practical approach to designing robust ETL workflows. Responsibilities: • Design and maintain end-to-end data pipelines that process large and complex datasets with a focus on performance and reliability. • Develop ETL workflows using Python and Spark to transform raw data into structured, usable formats for downstream consumption. • Work with Hadoop-based environments to manage distributed data processing and storage activities at scale. • Integrate streaming and messaging components such as Kafka to support near real-time data ingestion and event-driven processing. • Monitor pipeline health, troubleshoot data issues, and implement improvements that strengthen stability and data quality. • Collaborate with analysts, developers, and other stakeholders to understand data needs and translate them into technical solutions. • Improve existing data architecture by refining workflows, reducing processing bottlenecks, and increasing operational efficiency.
2026-08-21T00:00:00Z

Data Engineer

Madison, WI
onsite
Temporary to Hire
66.5 - 77 USD / Hourly
We are looking for a Data Engineer to join a contract opportunity with permanent potential, supporting data-intensive work in Madison, Wisconsin. This role focuses on building and optimizing modern data solutions that enable scientific and business teams to access reliable, scalable information. The ideal candidate brings deep experience with cloud-based engineering, strong Databricks expertise, and the ability to work across technical and research-focused stakeholders. Responsibilities: • Design, build, and maintain scalable data pipelines that ingest, transform, and deliver complex datasets for analytics and reporting. • Develop and optimize Databricks solutions using Python, Spark, PySpark, and Delta Lake to support high-performance data processing. • Create and enhance cloud-based data architecture in Azure, ensuring reliability, maintainability, and efficient data access. • Partner with cross-functional teams in IT, science, and business to translate research and operational needs into effective data engineering solutions. • Implement data models and warehousing structures that improve reporting accuracy, usability, and long-term scalability. • Manage integration of biological, genomic, or other life sciences data sources while preserving data quality and consistency. • Write and refine database objects such as queries, stored procedures, and functions to support downstream applications and analysis. • Contribute to Agile delivery practices by participating in planning, prioritization, and iterative solution development.
2026-08-21T00:00:00Z

Data Engineer

San Diego, CA
remote
Temporary / Contract
27 - 30 USD / Hourly
We are seeking a hands-on Data Engineer to support the final phase of an ERP implementation. This role will focus on data integration, ETL development, migration support, reconciliation, and post-go-live stabilization. The ideal candidate has experience with ERP systems, financial data, and large-scale data migrations. Key Responsibilities<ul><li>Build and test the reverse integration between Yardi and Abila MIP, ensuring Yardi transactions successfully post back to MIP as the system of record.</li><li>Develop and support financial data extracts, mappings, reconciliation processes, and exception handling.</li><li>Execute Trial Balance (TB) and Job Cost Adjustment (JCA) data loads and perform reconciliation to source systems.</li><li>Support budget and forecast ETL processes as requirements are finalized.</li><li>Resolve data migration and integration issues identified during UAT.</li><li>Assist with data validation efforts for Finance, Accounting, and HR teams prior to go-live.</li><li>Perform recurring MIP data refreshes through cutover.</li><li>Provide post-go-live hypercare support and issue resolution.</li></ul>
2026-08-18T00:00:00Z

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.
2026-08-21T00:00:00Z

Data Engineer

Atlanta, GA
onsite
Temporary to Hire
47.5 - 60 USD / Hourly
We are looking for a Data Engineer to join an opportunity in Atlanta, Georgia. In this role, you will design and support reliable data solutions that enable efficient reporting, analytics, and downstream business insights across cloud-based platforms. The ideal candidate brings strong engineering fundamentals, enjoys working with diverse data sets, and can help shape scalable architecture in a collaborative enterprise environment. Responsibilities:• Design, build, and maintain robust data pipelines that move and transform information from a variety of internal and external sources.• Develop efficient integration processes to unify structured and unstructured data for analytics, reporting, and operational use cases.• Improve the speed, reliability, and scalability of existing data workflows through tuning, monitoring, and process optimization.• Create and refine data models that support business intelligence, advanced analytics, and decision-making needs.• Administer and enhance cloud-based data environments across modern platforms, ensuring stability, security, and performance.• Partner closely with analytics and business teams to understand data needs and deliver accessible, high-quality datasets.• Implement ETL solutions using Python, Spark, and cloud-native services to support enterprise data operations.• Contribute to best practices for data engineering, documentation, and cross-functional collaboration within a consultative delivery model
2026-08-21T00:00:00Z

Data Engineer

Dallas, TX
onsite
Temporary to Hire
60 - 70 USD / Hourly
We are looking for a Data Engineer to join a mission-driven team, where you will design and support the data foundation behind clinical reporting, advanced analytics, and predictive healthcare solutions. This contract position offers the opportunity to build dependable, scalable data workflows that deliver information from healthcare platforms and other source systems to clinicians and business teams. The role is highly hands-on and centers on transforming complex healthcare data into trusted, well-structured assets that support operational and clinical decision-making. Responsibilities: • Design, develop, and maintain robust data pipelines that move information from healthcare platforms and related source systems into analytics and reporting environments. • Prepare, standardize, and validate data from claims, clinical records, and social determinants of health sources to ensure accuracy and usability. • Apply sound data modeling practices to organize information for warehousing, business intelligence, and advanced analytical use cases. • Build scalable processing solutions using tools such as Python, Apache Spark, Hadoop, and Kafka to support high-volume data operations. • Partner with analytics, clinical, and business stakeholders to deliver reliable datasets that power descriptive, predictive, and prescriptive insights. • Monitor pipeline performance, troubleshoot data issues, and improve the reliability and efficiency of end-to-end ETL processes. • Support the full lifecycle of data initiatives, from source integration and transformation through delivery for reporting and analytical applications.
2026-08-21T00:00:00Z

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.
2026-08-18T00:00:00Z

Data Engineer

Philadelphia, PA
remote
Temporary / Contract
62 - 70 USD / Hourly
Data EngineerLocation: 100% REMOTE BUT MUST BE ABLE TO INTERVIEW ONSITE IN PHILADELPHIA, PADuration: Through 12/31/2026, extensions likely This is a senior-level Data Engineer opportunity supporting enterprise modernization and cloud migration initiatives within a large-scale Agile environment. The role focuses on designing and building modern data pipelines, enhancing legacy data platforms, and developing scalable data assets that support analytics and reporting. The ideal candidate is a hands-on Data Engineer with deep expertise in Databricks, PySpark, Python, and AWS services, and experience working within cloud-based data ecosystems undergoing transformation. Responsibilities:<ul><li>Design, develop, and maintain scalable data engineering solutions using Databricks, Python, PySpark, and AWS.</li><li>Build, optimize, and support ETL processes and data pipelines for inventory, supply, and yield data initiatives.</li><li>Develop and maintain data assets that support enterprise analytics and Tableau reporting environments.</li><li>Support cloud migration and modernization efforts by transforming legacy data platforms into modern cloud-based solutions.</li><li>Enhance and maintain existing data engineering workflows while delivering new data pipeline capabilities.</li><li>Collaborate with cross-functional teams, including engineering, analytics, and business stakeholders, within an Agile Release Train (ART) environment.</li><li>Contribute to reducing technical debt through modernization of legacy data systems.</li><li>Implement scalable and reliable data processing solutions leveraging AWS services and cloud-native technologies.</li></ul>
2026-07-31T00:00:00Z

Data Engineer

Chicago, IL
onsite
Temporary to Hire
59.375 - 68.75 USD / Hourly
We are looking for a Data Engineer to join a growing financial services organization in Chicago, Illinois. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building in a developing data environment, contributing to a modern cloud-based platform, and helping shape the next phase of the team’s capabilities. You will work closely with key data stakeholders in a nimble setting where initiative, sound judgment, and adaptability are highly valued. Responsibilities: • Design and support data workflows that collect, refine, and deliver information across a contemporary cloud ecosystem. • Develop and enhance scalable data pipelines using Python and automated ingestion platforms such as Fivetran or comparable tools. • Model and transform datasets within Snowflake to enable reliable analytics and downstream business intelligence reporting. • Collaborate closely with the data architect to expand and improve the organization’s overall data infrastructure. • Contribute to reporting readiness by preparing curated datasets for visualization tools including Power BI and Sigma. • Monitor pipeline performance and resolve data issues to maintain accuracy, consistency, and dependable delivery. • Assess emerging technologies and recommend practical additions to the data stack as business needs evolve. • Work effectively in a fast-paced team environment where priorities can shift and new tooling may be introduced regularly.
2026-08-12T00:00:00Z

Enterprise Data Engineer

West Des Moines, IA
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an Enterprise Data Engineer to support enterprise-scale data integration and engineering initiatives for a life insurance organization in West Des Moines, Iowa. This Long-term Contract position is ideal for a technically strong individual who can build reliable data solutions, improve information flow across platforms, and partner with stakeholders to turn complex requirements into practical outcomes. The role combines hands-on engineering with solution design, with an emphasis on scalability, security, and data quality. Responsibilities: • Build and maintain robust data pipelines and integration workflows that support large-scale enterprise data movement and processing. • Develop transformation logic and orchestration processes using tools such as dbt, Azure Data Factory, Azure Data Lake, and related cloud-based technologies. • Connect Snowflake with internal platforms, cloud services, APIs, and reporting tools to enable dependable and efficient data exchange. • Work closely with product owners, architects, and technical teams to convert business needs into well-structured data models and engineering solutions. • Analyze functional and non-functional requirements to design data assets and workflows that align with operational and analytical objectives. • Promote sound engineering practices by defining standards for development, governance, security, and maintainability across data solutions. • Validate data processing outcomes through testing, issue investigation, and resolution of transformation or pipeline errors. • Track performance, reliability, and cost metrics for pipelines and recommend enhancements that improve efficiency and stability. • Evaluate emerging tools and architectural patterns that can strengthen enterprise data delivery and integration capabilities.
2026-08-12T00:00:00Z

Data and Knowledge Engineer

Menlo Park, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Data & Knowledge Engineer Company OverviewA leading artificial intelligence and advanced analytics organization is seeking a Data & Knowledge Engineer to help power next-generation AI and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data from disparate sources into unified intelligence systems that support advanced analytics, automation, and operational decision-making. This is an opportunity to work on mission-critical initiatives involving large-scale data, knowledge graphs, and AI-driven applications. Role SummaryThe Data & Knowledge Engineer will lead the onboarding, transformation, and governance of complex multimodal data into scalable data and knowledge platforms. This role focuses on integrating structured and unstructured data sources, designing reusable data pipelines, developing entity resolution frameworks, and enabling high-quality data for analytics, retrieval, AI workflows, and geospatial applications. The ideal candidate combines strong data engineering expertise with experience in knowledge graphs, data quality, and large-scale information management. Key Responsibilities<ul><li>Design and develop scalable data ingestion pipelines for structured, unstructured, geospatial, and sensor-based data sources.</li><li>Build and maintain batch and streaming data processing systems across cloud, on-premises, and disconnected environments.</li><li>Develop integrations with APIs, databases, file systems, enterprise applications, and external data sources.</li><li>Design schema mapping, normalization, and transformation processes that support diverse customer data models.</li><li>Implement entity resolution, record linkage, deduplication, and data matching capabilities across multiple sources.</li><li>Preserve data lineage, provenance, auditing, and traceability throughout the data lifecycle.</li><li>Create data validation, monitoring, replay, and exception-handling processes for complex data environments.</li><li>Develop workflows for managing ambiguous records, conflicting information, and data quality issues.</li><li>Define and measure data quality metrics, onboarding effectiveness, and operational performance indicators.</li><li>Support knowledge graph, retrieval, AI, and analytics capabilities through high-quality governed datasets.</li><li>Partner with engineering and stakeholder teams to transform recurring onboarding requirements into reusable platform capabilities.</li><li>Contribute to platform architecture, engineering standards, and long-term data strategy initiatives.</li></ul>Additional Details<ul><li>Fully onsite 5 days a week</li><li>Full-time exempt position</li><li>Hands-on engineering role with substantial ownership and technical influence</li><li>Opportunity to work on large-scale data, knowledge graph, and AI-driven initiatives</li><li>Staff-level candidates may provide architectural leadership, mentorship, and engineering guidance</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-08-19T00:00:00Z

Data Solutions Engineer

Minneapolis, MN
onsite
Temporary / Contract
60 - 75 USD / Hourly
We are looking for a Data Solutions Engineer to support retail data initiatives in Minnesota. This long-term contract opportunity is suited for a hands-on data specialist who can shape scalable data solutions, strengthen reporting capabilities, and guide technical teams toward reliable delivery. The role combines data engineering, business intelligence, and stakeholder collaboration to create trusted data assets that support operational and strategic decision-making. Responsibilities: • Guide and support data engineering and BI team members by setting direction, encouraging growth, and promoting strong cross-functional collaboration. • Translate business priorities into measurable delivery goals, establish performance indicators, and monitor progress against expected outcomes. • Architect, develop, and maintain robust data pipelines that move and transform information across internal platforms and third-party sources. • Oversee ETL operations to ensure data is accurate, timely, and dependable for downstream reporting and analytics needs. • Build and refine data models and warehouse structures that enable reporting, advanced analytics, and future predictive or machine learning use cases. • Apply sound engineering practices such as automation, source control, and repeatable development standards to improve data platform quality and efficiency. • Lead the creation and enhancement of Power BI and SSRS reporting solutions with a focus on usability, consistency, and alignment with business objectives. • Partner with business stakeholders to gather requirements, convert them into technical designs, and deliver scalable BI and data solutions. • Define visualization standards, reusable datasets, and semantic layers that support self-service reporting across the organization.
2026-08-21T00:00:00Z

Senior Data Engineer

Glendale, CA
onsite
Temporary / Contract
78 - 83 USD / Hourly
Senior Data Engineer (Contract)Location: Glendale, CA | HybridEmployment Type: Long Term ContractPay: Available on W2 BasisPosition OverviewWe are seeking a Senior Data Engineer to support enterprise data engineering and platform modernization initiatives. This role will focus on designing, building, and optimizing scalable data solutions while partnering with cross-functional teams to enhance cloud-based data platforms and data-driven decision-making.The ideal candidate will bring strong expertise in Databricks, Python, Apache Spark, and Terraform, along with experience designing and operating enterprise-scale data pipelines and platforms. This position offers the opportunity to work on complex data engineering challenges involving modern cloud technologies, streaming and batch processing, automation, governance, and platform architecture.Key Responsibilities<ul><li>Design, develop, test, deploy, and maintain scalable batch and streaming data pipelines.</li><li>Build and optimize data solutions using Databricks, Apache Spark, Python, SQL, and related technologies.</li><li>Collaborate with stakeholders to gather requirements and translate business needs into scalable technical solutions.</li><li>Support and maintain data platform governance, including access controls, data lineage, cataloging, and data discovery capabilities.</li><li>Diagnose platform and pipeline issues, identify root causes, and recommend effective solutions.</li><li>Contribute to solution architecture across cloud, data, and orchestration platforms.</li><li>Develop and maintain containerized services and utilities using Docker and Kubernetes.</li><li>Implement infrastructure automation and deployment standards using Infrastructure as Code practices.</li><li>Monitor platform health, resource utilization, system performance, and operational efficiency.</li><li>Build and enhance CI/CD processes and DevOps workflows.</li><li>Implement data quality, monitoring, logging, and reliability standards across pipelines and platforms.</li><li>Partner with engineers, architects, product teams, and business stakeholders in an Agile environment.</li><li>Maintain technical documentation, standards, and platform configurations</li></ul>
2026-08-11T00:00:00Z

Data Analytics Engineer (DBT / Snowflake)

Arlington, TX
onsite
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is partnering with a growing organization seeking a Senior Data & Analytics Engineer to support enterprise reporting, analytics, and data transformation initiatives.This individual will partner closely with technical and business stakeholders to develop scalable data solutions, improve data accessibility, and support strategic decision-making across multiple business functions. Responsibilities<ul><li>Design and develop scalable data solutions supporting reporting and analytics initiatives</li><li>Build and maintain data transformation workflows</li><li>Develop logical and physical data models</li><li>Support enterprise reporting and self-service analytics capabilities</li><li>Collaborate with cross-functional teams to define and deliver data requirements</li><li>Improve data quality, governance, and consistency across platforms</li><li>Participate in development best practices, testing, and code management processes</li><li>Support ongoing data modernization efforts</li></ul>
2026-08-12T00:00:00Z

Software Engineer - Data Science

Naperville, IL
onsite
Temporary / Contract
51.4615 - 59.587 USD / Hourly
We are looking for a Software Engineer - Data Science to join a growing organization in Naperville, Illinois and help strengthen the platform capabilities that support machine learning and data science initiatives. This Long-term Contract position will partner closely with infrastructure, development, and data-focused teams to build reliable engineering foundations, streamline delivery practices, and improve day-to-day productivity. The ideal candidate brings a strong software engineering background along with experience in cloud environments, automation, and modern deployment workflows. Responsibilities: • Design and enhance platform solutions that enable data scientists and machine learning engineers to develop, test, and deploy their work efficiently • Build, maintain, and optimize CI/CD workflows to support dependable releases and consistent engineering standards • Develop automation for infrastructure provisioning and configuration management using infrastructure-as-code approaches • Manage and improve cloud-based resources and services to ensure scalable, secure, and resilient platform operations • Collaborate with engineering and data teams to remove workflow bottlenecks and strengthen the overall developer experience • Support software delivery best practices across the full development lifecycle, from code integration through production deployment • Contribute to application and platform development efforts using technologies such as C#, .NET, ASP.NET, JavaScript, and React.js • Integrate and support data platform components, including Snowflake, within broader engineering solutions
2026-08-19T00:00:00Z

Data Architect

Springfield, MA
onsite
Temporary / Contract
55 - 58 USD / Hourly
We are seeking an experienced Clinical Data Architect / Data Management Specialist to support the design, integration, cleansing, and processing of clinical data across multiple healthcare data sources. This role will focus on developing scalable data frameworks, establishing data standards, and transforming disparate healthcare data into a cohesive longitudinal data model to support analytics, reporting, and operational needs.
2026-08-21T00:00:00Z