Add your latest resume to match with open positions.

169 results for Java Developer in Usa

Full Stack AI Engineer

Houston, TX
onsite
Temporary / Contract
140000 - 170000 USD / Yearly
We are seeking a Full Stack AI Engineer to join a growing team focused on building enterprise-grade applications powered by data, analytics, and artificial intelligence. This role combines software engineering, data engineering, and AI development, giving you the opportunity to design and develop scalable solutions that solve real business problems.The ideal candidate is a strong full-stack developer with a backend focus who can build APIs, integrate enterprise systems, develop data-driven applications, and bring AI-powered features into production. You'll work closely with product owners, data engineers, and business stakeholders to transform complex requirements into intuitive applications, automated workflows, and intelligent solutions. This position offers the opportunity to work with modern technologies including Generative AI, LLMs, cloud platforms, and advanced data architectures while maintaining ownership throughout the full software development lifecycle.
2026-09-03T00:00:00Z

Full Stack AI Engineer

Dublin, OH
onsite
Temporary / Contract
75 - 80 USD / Hourly
We are looking for a Full Stack AI Engineer for a long-term consultant position. This role is responsible for designing, building, and delivering end-to-end intelligent applications and agentic AI systems that enable automation, decision-making, and enhanced user experiences across our client's enterprise landscape. This role combines full-stack software engineering with applied AI to develop systems that can reason, plan, and execute tasks autonomously. The engineer partners with product, architecture, and business teams to translate complex requirements into scalable, production-ready solutions that integrate seamlessly with enterprise platforms, data, and processes. The position emphasizes hands-on development, system integration, and continuous delivery of business value, ensuring AI-enabled capabilities are reliable, secure, and aligned with enterprise standards while advancing innovation and operational efficiency.
2026-08-18T00:00:00Z

Software Engineer II – AI Engineer (w/ skills in Deployment)

San Ramon, CA
remote
Permanent / Full Time
85000 - 124000 USD / Yearly
Robert Half is seeking a Software Engineer II – AI Engineer who will analyze, design, program, debug, test, implement, deploy, and support software enhancements and new applications using Generative AI technologies. This role contributes to the development and production deployment of GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, and AI-driven user experiences. This role supports SDLC documentation across all phases, with a focus on deployment, evaluation, observability, safety, and monitoring. It also interacts with users to define requirements and support applications in production. What You’ll Do <ul><li>Develop and modify application modules, including GenAI components. </li><li>Build prompt workflows, retrieval layers, APIs, and cloud services. </li><li>Troubleshoot production issues, including latency, hallucinations, and errors. </li><li>Provide Level II production support for deployed systems. </li><li>Design components, including LLM integrations and RAG pipelines. </li><li>Implement CI/CD pipelines, containerization, and release processes. </li><li>Develop RAG pipelines with embeddings, chunking, and vector search. </li><li>Apply prompt engineering techniques, including few-shot prompting and structured outputs. </li><li>Evaluate models for accuracy, relevance, and hallucination risk. </li><li>Implement safety guardrails, including PII protection and prompt-injection defense. </li><li>Execute testing, including unit, integration, and GenAI evaluation testing. </li><li>Monitor production systems for latency, cost, usage, and errors. </li><li>Support incident management with fallback and recovery strategies. </li></ul>
2026-08-18T00:00:00Z

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.
2026-08-28T00:00:00Z

Data Engineer

Dallas, TX
onsite
Permanent / Full Time
135000 - 160000 USD / Yearly
We are looking for a Senior Data Engineer to develop and optimize enterprise data systems that support analytics and digital solutions. In this role, you will design and implement robust data architectures, ensuring seamless data integration and transformation processes across the organization. Your expertise will drive the creation of reliable pipelines and scalable infrastructure, enabling advanced analytics and machine learning capabilities. Responsibilities: • Design and implement scalable data pipelines using Databricks, Spark, and Delta Lake to support enterprise-level analytics. • Develop and maintain efficient data models tailored for AI, analytics, and operational systems. • Lead Master Data Management initiatives to establish unified and accurate data records across platforms. • Create batch and near-real-time data processing workflows for structured and semi-structured datasets. • Collaborate with AI and software development teams to ensure delivery of high-quality datasets for machine learning. • Define and enforce data architecture standards, ensuring scalability, reliability, and governance. • Troubleshoot and optimize data systems to maintain performance and reliability in complex environments. • Partner with cloud and IT teams to integrate modern data platforms and ensure seamless functionality.
2026-09-09T00:00:00Z

Data Engineer

Salt Lake City, UT
onsite
Permanent / Full Time
90000 - 110000 USD / Yearly
We are looking for a Data Engineer to help design and enhance data solutions that support reliable reporting and analytics in Salt Lake City, Utah. This role focuses on building scalable data pipelines, shaping well-structured warehouse models, and improving the quality and usability of enterprise data assets. The ideal candidate brings strong experience with SQL, Python, AWS technologies, and dimensional modeling principles grounded in the Kimball methodology. Responsibilities: • Build and maintain data pipelines that ingest, transform, and prepare information for downstream analytics and business use. • Design warehouse structures using Kimball-based dimensional modeling practices to support clear, consistent reporting. • Develop and optimize SQL- and Python-driven data workflows with an emphasis on scalability, performance, and maintainability. • Partner with analysts, engineers, and business stakeholders to translate data needs into practical engineering solutions. • Create and manage data transformation logic using dbt to improve testing, documentation, and deployment consistency. • Support cloud-based data platforms in an AWS environment and contribute to ongoing improvements in data architecture. • Monitor data quality and troubleshoot pipeline issues to ensure dependable delivery of curated datasets. • Contribute to modern data engineering practices, including tools such as PySpark when needed for larger-scale processing.
2026-09-08T00:00:00Z

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

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.
2026-08-31T00:00:00Z

Data Engineer

West Los Angeles, CA
onsite
Permanent / Full Time
150000 - 220000 USD / Yearly
We are looking for a Data Engineer to build and enhance reporting and data solutions that help teams make informed business decisions across the organization. This role partners with groups such as asset management, acquisitions, accounting, and HR to translate business needs into scalable dashboards, reliable data pipelines, and actionable insights. Based in Los Angeles, California, the position is ideal for someone who combines strong technical depth with the ability to explain findings clearly to a range of stakeholders. Responsibilities:• Create and refine dashboards, reports, and automated data outputs using tools such as Python, Excel, and Power BI to support operational and strategic reporting needs.• Examine large and varied datasets to uncover meaningful trends, performance indicators, and opportunities for improvement.• Guide and support entry-level BI team members by reviewing work, sharing best practices, and contributing to their career growth.• Partner with stakeholders across multiple business functions to define reporting goals, gather technical requirements, and deliver effective data solutions.• Translate technical concepts and analytical results into clear recommendations for non-technical audiences.• Contribute to cross-department initiatives that improve data availability, reporting consistency, and overall usability of business information.• Develop and maintain queries, procedures, and data workflows to support extraction, transformation, and loading activities across reporting environments.• Monitor data quality through validation checks, issue resolution, and routine audits to maintain accuracy and reliability.• Administer BI platforms with attention to performance, access control, and system stability while assisting users with adoption and training. For immediate consideration, apply now and direct message Reid Gormly on LinkedIn
2026-09-09T00:00:00Z

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.
2026-09-11T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Permanent / Full Time
115000 - 130000 USD / Yearly
We are looking for a Data Engineer to join our team in Jacksonville, Florida and help shape scalable, enterprise-ready analytics solutions. In this role, you will turn complex business needs into well-structured data models, high-performing pipelines, and actionable reporting assets that support informed decision-making. The ideal candidate brings deep experience with modern data platforms, strong technical leadership, and the ability to guide best practices for analytics, governance, and data usability across the organization. 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.
2026-09-09T00:00:00Z

Data Engineer

Acton, MA
onsite
Temporary to Hire
60 - 70 USD / Hourly
We are looking for a Data Engineer to join a hybrid team in Massachusetts in a contract capacity with the potential to become permanent. This role focuses on designing dependable data solutions that support reporting, analytics, and broader business needs. The ideal candidate brings hands-on experience with modern cloud data platforms and enjoys improving data flow, structure, and performance across production environments. Responsibilities: • Design, build, and enhance scalable data pipelines that support reliable movement and transformation of enterprise data. • Create and refine Snowflake data models to ensure efficient storage, accessibility, and performance for downstream use. • Bring new internal and external data sources into existing workflows while maintaining consistency and integrity across systems. • Track pipeline health, investigate processing issues, and resolve data anomalies to keep production operations stable. • Strengthen data workflows through automation, process optimization, and improved operational efficiency. • Work closely with analysts, architects, software engineers, and business partners to deliver dependable data solutions aligned with organizational goals. • Produce clear technical documentation covering pipeline logic, data processes, and engineering standards. • Apply data quality checks, validation methods, and error-handling practices to support trustworthy and governed datasets.
2026-09-09T00:00:00Z

Data Engineer

Davenport, IA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an experienced Data Engineer to join a manufacturing organization. In this role, you will create and maintain modern data platforms within Microsoft Fabric, enabling dependable reporting, analytics, and business decision-making. Responsibilities:• Build and support end-to-end data solutions in Microsoft Fabric, including pipelines, lakehouses, warehouses, and semantic models.• Develop scalable data workflows that collect, transform, and organize information from multiple business sources for analytical use.• Partner with analysts, developers, IT teams, and business users to understand data needs and deliver practical reporting and analytics capabilities.• Maintain data quality, governance, and security standards to ensure information is accurate, consistent, and appropriately controlled.• Monitor and optimize data processing performance to improve reliability, efficiency, and overall platform stability.• Troubleshoot data issues, resolve pipeline failures, and provide ongoing support for production data environments.• Document technical designs, data flows, and operational procedures to support maintainability and team collaboration.
2026-09-10T00:00:00Z

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.
2026-09-09T00:00:00Z

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.
2026-09-02T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Permanent / Full Time
130000 - 140000 USD / Yearly
We are looking for a Data Engineer to build and enhance scalable data solutions that support analytics and business decision-making in Jacksonville, Florida. This role focuses on designing reliable warehouse structures, developing efficient data pipelines, and improving data quality across enterprise platforms. The ideal candidate brings strong technical depth in modern data engineering practices and is comfortable partnering with cross-functional teams to deliver well-governed, high-performing data assets. Responsibilities: • Design and maintain enterprise data warehouse solutions using dimensional modeling techniques that support reporting, analytics, and long-term scalability. • Develop, orchestrate, and optimize ETL and ELT workflows for batch and near real-time data movement using modern pipeline and scheduling tools. • Build robust data architectures across cloud-based platforms while balancing performance, resilience, and cost efficiency. • Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks, then implement practical fixes that improve reliability and throughput. • Apply governance standards by supporting data quality controls, metadata practices, lineage visibility, and role-based access management. • Partner with business and technical stakeholders to translate data needs into well-structured solutions and provide clear updates on progress, risks, and delivery timelines. • Create efficient code for data transformation and aggregation using Python and advanced query development techniques. • Integrate data from databases, APIs, streaming platforms, and external sources to support a broad range of analytical use cases. • Mentor team members and contribute ideas that streamline processes, reduce friction, and strengthen engineering best practices.
2026-09-09T00:00:00Z

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

Atlanta, GA
onsite
Permanent / Full Time
110000 - 130000 USD / Yearly
We are looking for a Data Engineer to join a fast-paced IT consulting environment in Atlanta, Georgia. In this role, you will design and optimize modern data solutions that support analytics, machine learning, and business decision-making across a variety of client initiatives. The ideal candidate brings strong technical depth in cloud-based data engineering along with a practical, solution-oriented mindset. This position is well suited for someone who enjoys turning complex data challenges into scalable and reliable platforms. Responsibilities: • Build and maintain robust data pipelines that move, transform, and prepare information for reporting, analytics, and operational use. • Design end-to-end data solutions within Azure-based environments, using the right services and frameworks to support performance, reliability, and scale. • Develop engineering workflows with Python and PySpark to process both structured datasets and more complex unstructured sources. • Create and support data architecture components in Microsoft Fabric, Databricks, and related platforms to enable efficient data access and delivery. • Implement pipeline orchestration and workflow automation through Databricks tools to streamline recurring data operations. • Support machine learning initiatives by preparing high-quality datasets and building pipelines that feed model development and deployment processes. • Apply sound data management practices to ensure consistency, usability, and governance across data assets. • Work within Azure DevOps-driven delivery environments to contribute to version control, deployment processes, and collaborative engineering practices. • Partner with stakeholders to understand business objectives, translate requirements into technical solutions, and deliver strong client-focused outcomes.
2026-09-09T00:00:00Z

Data Engineer

Austin, TX
onsite
Temporary / Contract
62 - 65 USD / Hourly
Robert Half is actively partnering with an Austin-based client to identify a Data Engineer (contract). In this role, you will provide both technical and project leadership in designing, developing, and optimizing modern data solutions. This role will partner closely with business and technology stakeholders to deliver scalable data pipelines, drive data strategy initiatives, and lead cross-functional teams in a fast-paced enterprise environment. This role is hybrid in Austin, Tx. Key Responsibilities:<ul><li>Lead the design, development, and delivery of enterprise data engineering and integration initiatives.</li><li>Partner with business stakeholders to gather requirements, define solutions, and ensure successful project execution.</li><li>Drive Agile delivery practices while supporting strategic business priorities and innovation initiatives.</li><li>Architect, build, and optimize scalable data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.</li><li>Develop and maintain robust ETL/ELT processes to integrate data from multiple enterprise systems and external sources.</li><li>Implement data quality controls, validation processes, and monitoring frameworks to ensure data accuracy and reliability.</li><li>Mentor and guide junior engineers, fostering technical growth and supporting team success.</li><li>Establish and maintain data security, governance, and access control standards.</li><li>Collaborate with product owners, engineering teams, analysts, QA, operations, and project stakeholders to deliver high-quality solutions.</li><li>Translate business requirements into technical specifications, data mappings, and implementation plans.</li><li>Identify project risks, dependencies, and technical challenges while developing mitigation strategies.</li><li>Create and maintain documentation for deployments, support procedures, and operational processes.</li><li>Support deployment automation, application support efforts, and continuous process improvement initiatives.</li><li>Coordinate with distributed teams across multiple locations and time zones to drive successful project outcomes.</li></ul>
2026-09-02T00:00:00Z

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

Nashville, TN
onsite
Temporary / Contract
52 - 64 USD / Hourly
Robert Half is seeking a Contract Data Engineer to support our client’s data and analytics initiatives. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that enable efficient data ingestion, transformation, and delivery. The ideal candidate has strong experience working with modern data platforms, cloud environments, and large-scale datasets. Key Responsibilities:<ul><li>Data Pipeline Development: Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources.</li><li>Data Architecture: Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs.</li><li>Cloud Data Platforms: Work within cloud environments such as AWS, Azure, or GCP to deploy and manage data solutions.</li><li>Data Warehousing: Design and support enterprise data warehouses using platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse.</li><li>Big Data Processing: Develop solutions using big data technologies such as Spark, Databricks, Kafka, and Hadoop when required.</li><li>Performance Optimization: Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency.</li><li>Data Quality & Reliability: Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability.</li><li>Collaboration: Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions.</li><li>Documentation: Maintain detailed documentation for pipelines, data flows, and system architecture.</li></ul>
2026-09-01T00:00:00Z

Data Engineer

Seattle, WA
remote
Temporary / Contract
65 - 75 USD / Hourly
Robert Half is seeking an experienced Senior Data Engineer to support a law firm based in Seattle, Washington with the continued development and modernization of its enterprise data environment. This role will focus heavily on Databricks, dimensional modeling, PySpark, and Unity Catalog, with responsibility for ingesting, transforming, and preparing data from multiple enterprise systems for reporting and analytics. Duration: 6-month contractLocation: 100% Remote – preferred to work PST or CSTPay rate: $65-$75/hour (W2) Responsibilities<ul><li>Design, develop, and maintain scalable data pipelines and data models within Databricks.</li><li>Build and optimize dimensional data models to support enterprise reporting and analytics.</li><li>Develop data transformation and processing workflows using PySpark.</li><li>Ingest data from enterprise source systems, including Workday, Elite/Elite 3E, and Salesforce.</li><li>Move data through the Medallion Architecture, including Bronze, Silver, and Gold layers.</li><li>Clean, normalize, transform, and prepare source data for downstream analytics and reporting.</li><li>Utilize Unity Catalog to support data governance, security, organization, and access management.</li><li>Prepare curated datasets for consumption and reporting within Power BI.</li><li>Partner with business and technical stakeholders to understand reporting needs and demonstrate data within Power BI.</li><li>Troubleshoot data connectivity and integration issues involving APIs, Postman, firewall rules, and certificates.</li><li>Ensure data pipelines and models are scalable, reliable, and aligned with data engineering best practices.</li></ul>
2026-09-11T00:00:00Z

Data Engineer

Portland, ME
remote
Permanent / Full Time
88000 - 133000 USD / Yearly
We are looking for a Data Engineer to help build and maintain reliable data solutions for a client. This position focuses on moving, transforming, and validating data from multiple sources to support reporting, analytics, and operational needs. The ideal candidate will be comfortable working with modern cloud data platforms, collaborating with cross-functional teams, and improving data processes for accuracy, consistency, and timely delivery. Responsibilities:• Design, develop, and maintain data pipelines that ingest information from APIs, files, network sources, and other internal or external systems.• Build and enhance automated data workflows using Snowflake, Azure Data Factory, Python, and SQL to support reporting and analytics needs.• Apply business rules to transform raw data into structured, usable datasets for analysts, stakeholders, and downstream applications.• Partner with business users, analysts, developers, and project teams to gather requirements and deliver data solutions within an agile environment.• Monitor data quality by validating, cleansing, and reconciling datasets to ensure dependable and consistent information availability.• Troubleshoot pipeline failures, data inconsistencies, and integration issues, then implement fixes to improve system stability.• Maintain clear documentation for data warehouse configurations, workflow logic, and processing standards.• Manage code and workflow changes through version control practices to support traceability and controlled deployment.• Improve the timeliness and efficiency of data delivery for internal teams and third-party data consumers by identifying process enhancements.
2026-09-09T00:00:00Z

Data Engineer

Arlington, VA
onsite
Permanent / Full Time
150000 - 170000 USD / Yearly
We are looking for an experienced Data Engineer for a full time opportunity in Northern, Virginia. In this role, you will design reliable data solutions that support analytics and business decision-making while helping improve the overall data environment. The ideal candidate brings strong technical depth in modern data engineering practices and enjoys building scalable systems from the ground up. Responsibilities:• Design, develop, and maintain robust data pipelines that collect, transform, and deliver high-quality data for reporting and analysis.• Create and optimize data models that support business intelligence, analytics, and operational use cases across the organization.• Build and manage ETL workflows using Python and related technologies to ensure efficient movement of data between systems.• Work with large-scale data processing tools such as Apache Spark and Hadoop to handle complex and high-volume datasets.• Integrate streaming and batch data sources using technologies such as Apache Kafka to support timely and reliable data availability.• Collaborate with analysts, engineers, and business stakeholders to translate data needs into scalable engineering solutions.• Improve data warehouse performance, structure, and reliability to support accurate and accessible enterprise data.• Use dbt and other modern data transformation practices to organize, test, and document datasets effectively.
2026-08-26T00:00:00Z

Data Engineer

Oskaloosa, IA
onsite
Permanent / Full Time
0 - 0 USD / Yearly
Position: Data Engineer Location: Oskaloosa, IA / Des Moines, IA -- Onsite Salary: $100,000 - $120,000 base + exceptional benefits *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. *** Data Engineer Shape the Future of Enterprise Analytics, AI & Data Innovation Are you the type of data professional who sees a business problem and immediately starts thinking about how to model, engineer, and deliver the right solution? A highly successful, technology-driven organization is seeking a Data Engineer to help build the foundation for enterprise analytics, business intelligence, governance, and next-generation AI initiatives. This is an opportunity to make a visible impact across the business while working alongside a collaborative team of data professionals who are passionate about solving complex challenges. This role is ideal for someone who enjoys being hands-on, partnering with the business, and building modern data solutions that drive meaningful outcomes. What You'll Do • Design and develop scalable data models, semantic layers, and enterprise data solutions • Build trusted data structures that support analytics, reporting, AI, and business intelligence initiatives • Develop and optimize cloud-based data pipelines and integrations • Improve data governance, lineage, metadata management, and observability practices • Create automated data quality and validation frameworks • Implement CI/CD processes and modern DataOps best practices • Optimize SQL performance across warehouses, lakehouses, and reporting environments • Partner with analysts and business stakeholders to transform complex problems into actionable solutions • Contribute to technical standards, mentoring, documentation, and architectural best practices What We're Looking For Core Qualifications • Strong experience with data modeling and semantic modeling • Hands-on experience with Microsoft Fabric, Azure, and Power BI • Advanced SQL development and performance optimization skills • Experience with Git, CI/CD, and modern data engineering practices • Ability to translate business requirements into scalable technical solutions • Experience developing enterprise data pipelines and analytics platforms • A plus if you have data governance, data warehouse, data lake and or DBT experience. *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-09-02T00:00:00Z

5 7