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313 results for Data Engineer in Html

Data Engineer

Southborough, MA
remote
Temporary / Contract
63.34 - 73.34 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
2026-08-14T17:18:43Z

Data Engineer

Conshohocken, PA
remote
Permanent / Full Time
100000.00 - 150000.00 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.
2026-08-19T18:54:07Z

Data Engineer

San Francisco, CA
remote
Temporary / Contract
65.00 - 70.00 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.
2026-08-17T19:13:48Z

Principal Data Engineer

Avon, MN
onsite
Permanent / Full Time
130000.00 - 190000.00 USD / Yearly
We are looking for a Principal Data Engineer to shape and lead a modern enterprise data platform serving multiple business lines. This position will define the architectural direction for a Microsoft Fabric-based environment, guide engineering best practices, and partner closely with data and IT leaders to support long-term growth. The role is ideal for a senior technical expert who combines deep hands-on engineering capability with strong mentorship and platform strategy experience. Responsibilities:• Lead the design and ongoing evolution of a Microsoft Fabric lakehouse environment, establishing a scalable architecture across raw, refined, and curated data layers.• Create and support robust data integration workflows that bring information together from more than 30 enterprise applications and operational platforms.• Set technical standards for data engineering, including coding practices, solution design patterns, documentation, and review processes.• Mentor data engineers through hands-on coaching, collaborative development, and detailed code feedback to strengthen team capability.• Partner with data and IT leadership to align platform architecture with business priorities and future expansion needs.• Develop high-quality data pipelines using modern tools and frameworks such as SQL, Python, Spark, and PySpark within cloud-based data ecosystems.• Evaluate new technologies, architectural approaches, and data platform trends, then provide informed recommendations for adoption.• Support governance and platform reliability by promoting strong lineage, quality, performance, and scalable engineering practices.• Contribute to cross-platform interoperability initiatives, including environments that may involve Databricks, governance tooling, and enterprise data services.
2026-09-10T19:33:39Z

Sr Data Engineer

Dallas, TX
onsite
Permanent / Full Time
140000.00 - 200000.00 USD / Yearly
We are looking for a Senior Data Engineer to help shape and expand a modern enterprise data ecosystem in Dallas, Texas. This role is ideal for a highly technical specialist who enjoys building scalable cloud-based data solutions, improving platform performance, and collaborating with both engineering and business leaders. The position offers the opportunity to contribute directly to lakehouse design, advanced pipeline development, and data initiatives that support analytics and emerging AI use cases. Responsibilities: • Architect and develop scalable data platforms using Azure Databricks, Spark, PySpark, Python, Delta Lake, and related big data technologies. • Create and maintain layered lakehouse data models across raw, refined, and curated environments to support enterprise reporting and analytics. • Lead the movement of legacy data assets into Azure-based cloud environments as part of broader platform modernization efforts. • Build, enhance, and monitor high-volume ETL and streaming workflows, notebooks, and distributed processing jobs for reliability and efficiency. • Integrate tools such as Azure Synapse Analytics and Azure Data Factory to support end-to-end data ingestion, transformation, and delivery. • Improve performance of large-scale data workloads by tuning Spark jobs, optimizing code, and applying engineering best practices. • Establish and follow modern software delivery standards through source control, Azure DevOps pipelines, CI/CD processes, and deployment automation. • Prepare and structure data for machine learning, generative AI, and MLOps initiatives, including feature creation and production-ready integration. • Work closely with implementation partners, architects, technical teams, business stakeholders, and senior leadership to align solutions with organizational goals. • Contribute hands-on engineering expertise while also helping guide technical design and platform architecture decisions.
2026-09-13T08:10:19Z

Data Engineer

Jacksonville, FL
onsite
Permanent / Full Time
115000.00 - 130000.00 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. Responsibilities: • Design and maintain scalable data pipelines and transformation workflows using tools such as Python, Apache Spark, Hadoop, Kafka, and ETL frameworks. • Build and optimize enterprise semantic models that support consistent metrics, reusable analytics assets, and reliable reporting across multiple business areas. • Partner with business and technical stakeholders to convert complex requirements into practical data solutions, dashboards, and analytical datasets. • 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. • Improve data quality, model performance, and platform reliability through testing, validation, tuning, and adherence to established governance standards. • Provide technical guidance to team members by sharing best practices in data modeling, visualization, and scalable analytics design. • Evaluate and incorporate AI-enabled analytics capabilities and automation opportunities while ensuring outputs align with business needs and quality expectations. • Communicate technical concepts and analytical insights clearly to a range of audiences, including leadership, to support strategic decisions.
2026-09-09T12:38:42Z

Sr Data Engineer

Southfield, MI
onsite
Permanent / Full Time
145000.00 - 155000.00 USD / Yearly
Our client is looking for a Senior Data Engineer to lead the development of a scalable enterprise data environment that supports reporting, analytics, and informed decision-making across a nationwide organization. In this role, you will bring together data from multiple business platforms, create trusted structures for analysis, and help teams move from manual reporting methods to dependable automated solutions. You will work closely with leaders across finance, sales, and operations to define consistent data standards and deliver high-quality datasets for business intelligence and advanced analytics. This position is based in Southfield, Michigan. Responsibilities:• Design and maintain enterprise data warehouse solutions that centralize information from multiple platforms and operational systems.• Build and optimize ETL and data ingestion workflows using tools and frameworks such as Python, Apache Spark, Kafka, and Hadoop.• Develop governed data models that improve consistency, accuracy, and usability for executive reporting, financial analysis, and self-service BI.• Partner with finance, sales, and operations stakeholders to align business definitions and translate reporting needs into reliable data assets.• Automate data consolidation processes to reduce manual effort and strengthen auditability across acquired and distributed business units.• Monitor data pipelines and warehouse performance, troubleshooting issues and implementing improvements to ensure stability and scalability.• Support analytics initiatives by preparing structured datasets for dashboards, ad hoc analysis, and emerging AI-enabled use cases.• Collaborate with BI teams to deliver data sources that integrate effectively with reporting tools such as Power BI.
2026-08-26T18:08:43Z

Data Engineer (Phython)

Houston, TX
onsite
Permanent / Full Time
160000.00 - 170000.00 USD / Yearly
Responsibilities<ul><li>Develop scalable, reusable Python applications and services that integrate external data sources, internal platforms, and enterprise databases.</li><li>Partner with business stakeholders to gather requirements and translate operational needs into technical solutions.</li><li>Design, build, and support data ingestion frameworks, ETL processes, and enterprise data pipelines.</li><li>Promote code quality, maintainability, and standardization across shared development libraries and tooling.</li><li>Enhance internal developer utilities, automation frameworks, and data engineering best practices.</li><li>Collaborate with distributed teams to deliver reliable, high-performing solutions across multiple business functions.</li><li>Contribute to technical knowledge sharing, development standards, and continuous improvement initiatives.</li></ul>
2026-09-02T00:44:01Z

AWS Senior Data Engineer

Torrance, CA
remote
Temporary / Contract
63.00 - 67.00 USD / Hourly
We are looking for an AWS Senior Data Engineer to join a long-term contract opportunity supporting data initiatives within the automotive industry in Southern California. In this role, you will build and enhance cloud-based data pipelines that power analytics, reporting, and operational decision-making. The position requires strong hands-on experience with AWS data services, scalable processing frameworks, and modern engineering practices to deliver reliable and efficient data solutions. Responsibilities:• Build, deploy, and support end-to-end data pipelines using AWS services such as Glue, Lambda, Redshift, S3, Athena, and Airflow-based orchestration tools.• Create scalable data processing solutions with Python, PySpark, and Apache Spark to manage large and complex datasets efficiently.• Develop extraction, transformation, and loading workflows that move data accurately into target platforms for reporting and downstream consumption.• Implement data quality controls, validation routines, and exception handling to improve reliability and maintain trusted datasets.• Tune pipeline performance and refine SQL and Redshift workloads to meet service expectations for speed, scalability, and cost efficiency.• Partner with analysts, technical teams, and business stakeholders to convert data needs into practical engineering designs and production-ready solutions.• Maintain clear technical documentation for pipeline logic, data flows, operational processes, and system specifications.• Ensure data integration activities align with governance standards, compliance expectations, and established engineering best practices.• Provide ongoing production support for deployed data solutions and address issues affecting pipeline stability or data availability.
2026-08-17T14:14:05Z

Enterprise Data Engineer

West Des Moines, IA
onsite
Temporary / Contract
- USD / Hourly
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.
2026-08-12T21:13:40Z

Data Engineer

Oskaloosa, IA
onsite
Permanent / Full Time
- USD / Yearly
Position: Data Engineer Location: Oskaloosa, IA / Des Moines, IA -- Onsite Salary: $100,000 - $120,000 base + exceptional benefits *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. *** Data Engineer Shape the Future of Enterprise Analytics, AI & Data Innovation Are you the type of data professional who sees a business problem and immediately starts thinking about how to model, engineer, and deliver the right solution? A highly successful, technology-driven organization is seeking a Data Engineer to help build the foundation for enterprise analytics, business intelligence, governance, and next-generation AI initiatives. This is an opportunity to make a visible impact across the business while working alongside a collaborative team of data professionals who are passionate about solving complex challenges. This role is ideal for someone who enjoys being hands-on, partnering with the business, and building modern data solutions that drive meaningful outcomes. What You'll Do • Design and develop scalable data models, semantic layers, and enterprise data solutions • Build trusted data structures that support analytics, reporting, AI, and business intelligence initiatives • Develop and optimize cloud-based data pipelines and integrations • Improve data governance, lineage, metadata management, and observability practices • Create automated data quality and validation frameworks • Implement CI/CD processes and modern DataOps best practices • Optimize SQL performance across warehouses, lakehouses, and reporting environments • Partner with analysts and business stakeholders to transform complex problems into actionable solutions • Contribute to technical standards, mentoring, documentation, and architectural best practices What We're Looking For Core Qualifications • Strong experience with data modeling and semantic modeling • Hands-on experience with Microsoft Fabric, Azure, and Power BI • Advanced SQL development and performance optimization skills • Experience with Git, CI/CD, and modern data engineering practices • Ability to translate business requirements into scalable technical solutions • Experience developing enterprise data pipelines and analytics platforms • A plus if you have data governance, data warehouse, data lake and or DBT experience. *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-09-02T00:44:01Z

Data Engineer

Oklahoma City, OK
onsite
Permanent / Full Time
100000.00 - 125000.00 USD / Yearly
A Manufacturing/ distribution company is looking for a Data Engineer with 3 + years of experience to join a dynamic team in Oklahoma City, Oklahoma. In this role, you will play a crucial part in designing and maintaining data infrastructure to support analytics and decision-making processes. You will be a key contributor in developing, optimizing, and maintaining the data infrastructure that supports analytics and business intelligence initiatives, and data driven decision-making using Snowflake, Matillion, and other tools. Position will be in-office to work closely with the team. You must live in the Oklahoma City area. Client is unable to sponsor. No 3rd parties please. Responsibilities: • Design, develop, and maintain scalable data pipelines to support data integration and real-time processing.• Implement and manage data warehouse solutions, with a strong focus on Snowflake architecture and optimization.• Write efficient and effective scripts and tools using Python to automate workflows and enhance data processing capabilities.• Work with SQL Server to design, query, and optimize relational databases in support of analytics and reporting needs.• Monitor and troubleshoot data pipelines, resolving any performance or reliability issues.• Ensure data quality, governance, and integrity by implementing and enforcing best prac
2026-09-01T21:59:48Z

Principal Data Engineer

Des Moines, IA
remote
Permanent / Full Time
180000.00 - 225000.00 USD / Yearly
Position: Principal Data Engineer | Direct Hire Permanent Location: Remote Salary: $180,000 - $225,000 base plus SIGNIFICANT bonus and or equity potential *** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. *** Build the data foundation that powers analytics, AI, and enterprise decision-making. We’re hiring a Principal Data Engineer to design and deliver a modern, scalable data platform from the ground up. This is a high-impact, hands-on role where you’ll lead architecture decisions, build production-grade pipelines, and enable secure, multi-tenant data capabilities that support everything from reporting to advanced AI use cases. What You’ll Own • Design and build a modern data platform across ingestion, transformation, storage, and consumption • Develop scalable batch and real-time pipelines across diverse data sources (relational, event, document) • Establish data architecture standards, modeling practices, and engineering frameworks • Create secure, multi-tenant data environments with strong governance and access controls • Build data models and serving layers for reporting, self-service analytics, and AI workloads • Evaluate and implement cloud data technologies for performance, cost, and scalability • Partner with engineering and business leaders to align data strategy with company priorities • Guide vendors and external partners while enforcing internal data standards and quality What You Bring • 10+ years of experience in data engineering, including large-scale architecture ownership • Strong programming skills in Python and experience with tools like Spark, Kafka, or similar • Expertise building batch and streaming pipelines in cloud environments (AWS preferred) • Deep knowledge of data modeling for both transactional and analytical systems • Hands-on experience with Snowflake, Redshift, or modern data platforms • Strong understanding of data governance, privacy, and secure data design • Experience with ETL frameworks, testing, and CI/CD-driven data workflows • Ability to clearly communicate technical strategy and tradeoffs to senior stakeholders Why This Role • Architect and build a next-generation data platform from foundational level • Direct impact on analytics, product insights, and AI capabilities • High ownership, visibility, and influence across engineering and leadership • Opportunity to define standards, tooling, and long-term data strategy If you’re a hands-on data engineer who enjoys building scalable platforms and shaping how data is leveraged across an organization, this is a high-impact opportunity to lead from the front. *** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654 or mobile: 515-771-8142. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-08-20T00:18:45Z

Senior Data Engineer (Databricks)

Morristown, NJ
remote
Permanent / Full Time
120000.00 - 145000.00 USD / Yearly
A leading infrastructure and transportation group is seeking a hands-on Senior Data Engineer to architect and build our next-generation Enterprise Reporting & Data Warehouse (ERDW.Next) on Databricks. Acting as the hands-on technical owner, you will drive target-state design, medallion architecture (Delta Lake), and legacy migrations off SQL Server/Synapse while remaining actively in the codebase. You will partner with our Enterprise Architect, Power BI team, business users, and offshore delivery partners across finance, construction, and safety domains. QUALIFIED CANDIDATES SHOULD HAVE EXPERIENCE WITH:<ul><li>Serving as a Databricks SME</li><li>ERP integrations (strong plus)</li><li>Python / PySpark</li><li>Performance tuning and optimization</li><li>Databricks maintenance, including VACUUM</li><li>Data governance and best practices</li><li>Semantic modeling</li></ul> RESPONSIBILITIES<ul><li>Architecture & Strategy: Design the ERDW.Next lakehouse (medallion/gold layer star schema) and govern data modeling, batch/streaming, and Delta Live Tables standards.</li><li>Build & Migration: Write production-grade PySpark, Spark SQL, and Delta Live Tables pipelines orchestrated via Databricks Workflows. Re-engineer legacy SSIS/T-SQL/Synapse logic and ingest ERP data (JD Edwards, Anaplan) using CDC and Auto Loader.</li><li>Platform Operations: Optimize cost/performance using Photon, Liquid Clustering, and OPTIMIZE. Manage CI/CD pipelines via Git and Databricks Asset Bundles while maintaining strict SLAs.</li><li>Governance & AI: Implement Unity Catalog governance (entitlements, lineage, audit) and curate Databricks Genie Agents for natural-language analytics.</li><li>Partner & Legacy Management: Support legacy platforms during transition and maintain code quality standards across offshore partner teams. Leverage agentic AI coding tools safely to accelerate delivery.</li></ul>
2026-09-08T15:48:40Z

Data Solutions Engineer

Edina, MN
onsite
Temporary / Contract
60.00 - 75.00 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.
2026-08-14T20:08:38Z

Principal Data Engineer

Des Moines, IA
remote
Permanent / Full Time
225000.00 - 300000.00 USD / Yearly
Position: Principal Data Engineer | Direct Hire Permanent Location: Remote Salary: $225,000 - 300,000 base plus bonus potential *** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. *** Build the data foundation that powers analytics, AI, and enterprise decision-making. We’re hiring a Principal Data Engineer to design and deliver a modern, scalable data platform from the ground up. This is a high-impact, hands-on role where you’ll lead architecture decisions, build production-grade pipelines, and enable secure, multi-tenant data capabilities that support everything from reporting to advanced AI use cases. What You’ll Own • Design and build a modern data platform across ingestion, transformation, storage, and consumption • Develop scalable batch and real-time pipelines across diverse data sources (relational, event, document) • Establish data architecture standards, modeling practices, and engineering frameworks • Create secure, multi-tenant data environments with strong governance and access controls • Build data models and serving layers for reporting, self-service analytics, and AI workloads • Evaluate and implement cloud data technologies for performance, cost, and scalability • Partner with engineering and business leaders to align data strategy with company priorities • Guide vendors and external partners while enforcing internal data standards and quality What You Bring • 10+ years of experience in data engineering, including large-scale architecture ownership • Strong programming skills in Python and experience with tools like Spark, Kafka, or similar • Expertise building batch and streaming pipelines in cloud environments (AWS preferred) • Deep knowledge of data modeling for both transactional and analytical systems • Hands-on experience with Snowflake, Redshift, or modern data platforms • Strong understanding of data governance, privacy, and secure data design • Experience with ETL frameworks, testing, and CI/CD-driven data workflows • Ability to clearly communicate technical strategy and tradeoffs to senior stakeholders Why This Role • Architect and build a next-generation data platform from foundational level • Direct impact on analytics, product insights, and AI capabilities • High ownership, visibility, and influence across engineering and leadership • Opportunity to define standards, tooling, and long-term data strategy If you’re a hands-on data engineer who enjoys building scalable platforms and shaping how data is leveraged across an organization, this is a high-impact opportunity to lead from the front.
2026-08-20T00:23:44Z

Data Engineer

Boston, MA
onsite
Temporary / Contract
39.59 - 45.84 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.
2026-08-14T17:58:40Z

Data & Systems Engineer

Los Angeles, CA
onsite
Permanent / Full Time
110000.00 - 140000.00 USD / Yearly
Data & Systems Engineer Company OverviewA mission-driven nonprofit organization based in Los Angeles, California is dedicated to supporting and empowering a large and diverse membership through advocacy, community engagement, and operational excellence. The organization relies on technology, data, and analytics to drive informed decision-making, improve organizational effectiveness, and support strategic initiatives. This is an opportunity to join a collaborative environment where data and systems play a critical role in advancing organizational goals. Role SummaryThe Data & Systems Engineer will serve as a key technical resource responsible for managing enterprise business systems, optimizing data architecture, and expanding reporting capabilities. This role combines Salesforce administration, data engineering, systems management, and business intelligence responsibilities. The ideal candidate will have strong expertise in Salesforce, SQL, data integration, reporting, and system administration, along with the ability to translate business requirements into scalable technical solutions. Key Responsibilities<ul><li>Serve as the primary administrator for enterprise business applications, including CRM and related systems.</li><li>Manage system configuration, security, user administration, workflows, validations, and platform enhancements.</li><li>Develop and maintain reports, dashboards, and business intelligence solutions.</li><li>Build, optimize, and support data pipelines, data architectures, and reporting environments.</li><li>Manage data integrations and migrations between internal and third-party systems.</li><li>Ensure data integrity through cleansing, deduplication, audits, data loads, and ongoing governance practices.</li><li>Create and maintain backup, recovery, and disaster recovery strategies.</li><li>Perform root cause analysis and troubleshoot system, data, and reporting issues.</li><li>Develop processes supporting data transformation, metadata management, and workload optimization.</li><li>Maintain system documentation, audit logs, and change management processes.</li><li>Collaborate with cross-functional teams to gather requirements and implement technology solutions.</li><li>Provide user support, troubleshooting, training, and guidance on system functionality.</li><li>Recommend process improvements and technology enhancements that increase operational efficiency.</li></ul>Additional Details<ul><li>Hybrid onsite 3 days a week</li><li>Full-time exempt position</li><li>Opportunity to support enterprise-wide technology, data, and reporting initiatives</li><li>Fast-paced environment requiring strong organizational skills and adaptability</li><li>Collaboration with business, analytics, development, and leadership teams across the organization</li></ul>
2026-08-21T21:48:44Z

Data and Knowledge Engineer

Menlo Park, CA
onsite
Permanent / Full Time
200000.00 - 300000.00 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>
2026-08-19T19:28:47Z

Data Architect (GCP)

Appleton, WI
onsite
Permanent / Full Time
140000.00 - 170000.00 USD / Yearly
Robert Half is seeking a Data Architect for our partner in the Appleton area to help accelerate the development of their modern data platform. This is an opportunity to join a growing data organization that is transitioning to a cloud-based architecture centered around Google Cloud Platform and BigQuery. The Data Architect will work closely with a team of Data Engineers, Data Analysts, and Data Scientists to establish the technical vision, architecture, and standards for the organization’s modern data environment. This person will provide hands-on technical leadership to the engineering team while helping move the platform from its current development stage into a scalable, production-ready environment. What You’ll Do<ul><li>Define and implement the architecture for a modern cloud data lakehouse using GCP, BigQuery, and related technologies.</li><li>Partner closely with Data Engineers to translate architectural strategy into scalable, production-ready solutions.</li><li>Establish standards and best practices for data ingestion, transformation, storage, orchestration, security, governance, and performance.</li><li>Help accelerate the development and deployment of the organization’s GCP data platform.</li><li>Evaluate existing architecture and recommend improvements to increase scalability, reliability, performance, and development velocity.</li><li>Provide technical leadership, mentorship, and architectural guidance to a team of Data Engineers.</li><li>Work with Data Analysts and Data Scientists to ensure the data platform effectively supports analytics, reporting, machine learning, and AI initiatives.</li><li>Collaborate with Project Managers, Business Analysts, and business stakeholders to translate requirements into effective technical solutions.</li><li>Stay current with emerging data and AI technologies and identify opportunities to incorporate AI into engineering processes and business solutions.</li><li>Remain hands-on with technology, including troubleshooting complex technical challenges and demonstrating solutions for the engineering team.</li></ul>
2026-08-12T07:03:45Z

AWS Data Engineer

Dallas, TX
onsite
Permanent / Full Time
105000.00 - 120000.00 USD / Yearly
Seeking a hands-on Data Platform Engineer to build and operate the AWS infrastructure supporting an enterprise analytics environment. This is an engineering-focused position centered on building pipelines, orchestration, and cloud infrastructure, not dashboards or business analysis. What You'll Do<ul><li>Build and maintain an AWS-based data platform and Amazon Redshift environment.</li><li>Code and build data pipelines using Python, dbt, and AWS Lambda.</li><li>Work across AWS services including S3, Glue, Step Functions, IAM, and CloudWatch.</li><li>Develop ETL/ELT processes and data transformation workflows.</li><li>Monitor pipeline health and troubleshoot failures, latency, and infrastructure issues.</li><li>Build for reliability, scalability, security, and cloud cost efficiency.</li><li>Support data ingestion into the warehouse environment.</li><li>Maintain data-flow documentation and operational runbooks.</li><li>Translate analytics requirements into technical pipeline and infrastructure solutions.</li><li>Recommend automation and architectural improvements as the platform grows.</li></ul>
2026-09-13T08:10:19Z

Sr. Software Engineer

New York, NY
remote
Permanent / Full Time
125000.00 - 150000.00 USD / Yearly
Robert Half is hiring! We are looking for a Senior Software Engineer to build and evolve data-driven platforms that turn complex information into reliable, usable products. In this role, you will create resilient systems that process diverse data sources, support application experiences, and improve how information is stored, accessed, and delivered. You will work closely with teammates to shape engineering practices, solve production issues, and deliver iterative improvements that keep customer value at the center of development. Experience with large unstructured data sets is a must. Responsibilities:• Architect and develop scalable pipelines that collect, normalize, and transform structured and unstructured data from varied sources into formats ready for analytics and AI use cases.• Build production-ready services with strong observability, dependable error handling, and ongoing performance tuning to support reliability at scale.• Improve database and search-layer design across relational and document-oriented systems to balance speed, efficiency, and operating cost.• Develop APIs and data access components that connect core data platforms with downstream application functionality in a clean and maintainable way.• Lead feature development across the full lifecycle, from initial ingestion and backend processing through delivery of end-user capabilities.• Investigate operational alerts, trace issues to underlying causes, and implement corrective actions that prevent repeat incidents.• Partner with engineering leadership and cross-functional teammates to define sound data engineering standards, maintain useful technical documentation, and promote knowledge sharing.• Make pragmatic engineering decisions by prioritizing customer outcomes and adjusting approach when added complexity does not create meaningful value.• Deliver enhancements in incremental releases, using continuous iteration to steadily strengthen product quality and impact.
2026-08-26T13:33:41Z

Database Developer

Lehi, UT
remote
Permanent / Full Time
160000.00 - 180000.00 USD / Yearly
We are looking for a Database Engineer to support the design, migration, and optimization of cloud-based data platforms. This role focuses on building reliable database solutions for large and complex datasets while enabling efficient delivery of information to applications, analytics tools, and other downstream consumers. The ideal candidate brings strong hands-on experience with cloud database technologies, Python development, and modern data engineering practices, along with the ability to contribute practical architectural insight. Responsibilities:• Lead the migration of database workloads to cloud-based environments, with particular emphasis on DynamoDB and DocumentDB implementations.• Design, build, and maintain scalable data pipelines that process high-volume datasets and deliver dependable data to downstream services and presentation layers.• Develop and optimize Python-based solutions to support database operations, automation, and data movement across distributed systems.• Create and maintain database structures and access patterns for NoSQL and in-memory platforms, including Redis and related AI or vector-driven data use cases.• Partner with engineering teams to define practical database architecture decisions and translate technical requirements into effective cloud implementations.• Support search and retrieval capabilities by working with Solr and other data access technologies used across the environment.• Implement scripting and automation tasks using shell scripting where needed to streamline deployment, maintenance, and operational workflows.• Evaluate and integrate technologies such as ElastiCache, MemoryDB, MongoDB, and vector databases to meet performance, scalability, and application need.
2026-09-08T15:43:43Z

Data Operations Engineer - EFT & Integrations

Providence, RI
remote
Temporary / Contract
75.00 - 90.00 USD / Hourly
We are looking for a senior-level Data Operations Engineer to support secure data exchange and reliable integration workflows for a long-term contract role based in Providence, Rhode Island. This position focuses on building resilient file-processing solutions, improving data reliability, and developing automation that strengthens day-to-day operations. The ideal candidate brings strong experience with Python, SQL, EFT processes, and production-grade data pipelines, along with a practical approach to troubleshooting and operational excellence. Responsibilities: • Create and maintain secure electronic file transfer solutions for inbound and outbound data exchanges using protocols such as SFTP and FTP. • Develop scalable processes to onboard partner data feeds and manage recurring integration workflows with consistency and accuracy. • Build automated controls for file validation, reconciliation, exception handling, retry logic, and operational alerting. • Write robust Python code to ingest, transform, validate, and reconcile data across operational pipelines. • Use advanced SQL to investigate data integrity, compare datasets, identify anomalies, and support trend analysis. • Monitor production data workflows, detect quality issues early, and respond quickly to processing disruptions. • Perform root-cause analysis for failed jobs or data discrepancies and implement long-term corrective actions. • Reduce manual operational effort by introducing automation, monitoring, and repeatable support procedures. • Produce clear technical documentation, support guides, and runbooks to improve ongoing operational support. • Partner with engineering, analytics, and business stakeholders to resolve integration challenges while maintaining proper security and privacy controls for sensitive data.
2026-09-04T14:28:36Z

Artificial Intelligence (AI) Engineer

Houston, TX
remote
Temporary to Hire
47.50 - 55.00 USD / Hourly
We are looking for an Artificial Intelligence (AI) Engineer to join a fast-paced team and help shape intelligent, scalable solutions that support healthcare technology initiatives. This contract position with potential for a permanent role is ideal for someone who combines strong software and data engineering fundamentals with a genuine interest in applied AI, automation, and modern cloud platforms. In this role, you will contribute to building robust data products, intelligent workflows, and AI-enabled services that improve operational insight and decision-making across the healthcare lifecycle. Responsibilities: • Design and implement scalable data workflows and system integrations using Azure-based services to support enterprise healthcare applications. • Partner with technical and business teams to uncover opportunities where AI-driven automation can streamline processes and improve outcomes. • Build and enhance autonomous or semi-autonomous agent capabilities that interact with data platforms, observe system behavior, and surface actionable insights. • Develop and maintain cloud-based analytics and data warehousing solutions using tools such as Azure Synapse, Data Lake, and Power BI. • Apply machine learning and AI methods to strengthen data processing, classification, detection, and operational decision support. • Ensure engineering solutions align with security, compliance, and deployment standards required for regulated healthcare environments. • Contribute to API development, platform reliability, and performance optimization across data and application ecosystems. • Participate in Agile team activities, share technical recommendations, and help advance engineering best practices through continuous improvement.
2026-08-26T12:53:41Z

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