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136 results for Data Architect jobs

Data Architect

Springfield, MA
onsite
Temporary / Contract
55 - 58 USD / Hourly
We are seeking an experienced Clinical Data Architect / Data Management Specialist to support the design, integration, cleansing, and processing of clinical data across multiple healthcare data sources. This role will focus on developing scalable data frameworks, establishing data standards, and transforming disparate healthcare data into a cohesive longitudinal data model to support analytics, reporting, and operational needs.
2026-07-29T00:00:00Z

Data/Information Architect

Madison, WI
onsite
Temporary to Hire
57 - 66 USD / Hourly
We are looking for an experienced Data/Information Architect to help shape and guide modern cloud and data architecture initiatives in Madison, Wisconsin. This contract opportunity is ideal for a senior specialist who can connect enterprise architecture strategy with hands-on engineering across cloud platforms, automation, and scalable data solutions. The role focuses on designing resilient, secure, and high-performing environments that support distributed applications, platform services, and evolving business needs. Responsibilities: • Lead the design of enterprise data and cloud architecture solutions that align technical strategy with operational goals. • Create scalable architectures for distributed applications using microservices, container platforms, and serverless capabilities where appropriate. • Define and implement infrastructure automation standards with tools such as Terraform, Bicep, CloudFormation, or Pulumi to improve consistency and speed. • Establish CI/CD practices and deployment workflows that support reliable software delivery and efficient environment management. • Architect container-based workloads with strong consideration for networking, access control, monitoring, and overall platform stability. • Develop integration patterns and event-driven solution designs that improve interoperability across cloud services and business systems. • Partner with engineering and business stakeholders to document architecture decisions, communicate technical direction, and support long-term roadmap planning. • Contribute to modern data platform design, including data lakes, warehouses, streaming pipelines, and data modeling approaches for analytics and operational use cases. • Promote secure architecture principles by embedding compliance, encryption, least-privilege access, and risk mitigation into platform and data designs. • Mentor team members and encourage engineering best practices across architecture governance, cloud operations, and platform development.
2026-07-20T00:00:00Z

Data/Information Architect

Richardson, TX
onsite
Permanent / Full Time
200000 - 250000 USD / Yearly
We are looking for a Data/Information Architect to lead the design of advanced AI and data solutions that support strategic business goals in Richardson, Texas. This role blends architecture leadership with hands-on experimentation, requiring someone who can translate complex business needs into scalable technical approaches. The ideal candidate will assess emerging technologies, shape future-state architecture, and guide teams in bringing practical AI and machine learning capabilities into enterprise environments. Responsibilities: • Partner with business stakeholders and technical teams to define high-value AI and machine learning use cases and shape solution approaches that align with organizational objectives. • Design enterprise architecture for intelligent systems spanning machine learning, generative AI, deep learning, virtual assistants, and cognitive technologies such as image and language processing. • Produce target-state architecture artifacts and validate proposed designs through prototypes, pilot solutions, and minimum viable products. • Review external platforms, tools, and vendor offerings in the AI/ML landscape and recommend options based on business fit, technical readiness, and long-term value. • Contribute to strategic roadmaps covering AI, machine learning, advanced analytics, large language models, agent-based solutions, computer vision, data platforms, and event-driven processing. • Stay current with industry advancements by continuously researching emerging practices, frameworks, and architectural patterns across AI and cloud-native technologies. • Build proof-of-concept solutions quickly and independently to test models, algorithms, and technical approaches against real business challenges. • Prepare and analyze data for experimentation by scripting data discovery, cleansing, transformation, and feature development activities across varied datasets. • Support engineering and data science teams with architectural guidance for deploying, integrating, and operationalizing AI/ML capabilities within enterprise applications and workflows.
2026-07-30T00:00:00Z

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.
2026-07-24T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Engineer to design, build, and optimize scalable data pipelines that support analytics, reporting, and business intelligence initiatives. This individual will work closely with data analysts, business stakeholders, and development teams.Responsibilities<ul><li>Develop and maintain ETL/ELT pipelines</li><li>Design and optimize data models and database structures</li><li>Integrate data from multiple internal and external sources</li><li>Improve data quality, governance, and accessibility</li><li>Support reporting tools and analytics platforms</li><li>Monitor and troubleshoot pipeline performance</li></ul>
2026-07-29T00:00:00Z

Data Engineer

Norristown, PA
onsite
Permanent / Full Time
140000 - 150000 USD / Yearly
We are looking for a Data Engineer to drive the design and delivery of scalable data solutions that support critical business objectives within the oil and gas sector. This position is based in King of Prussia, Pennsylvania, and combines technical execution with leadership responsibilities, including guiding a small team and shaping engineering best practices. The ideal candidate brings strong expertise in modern data platforms, builds dependable pipelines and models, and works comfortably across complex source systems to produce high-quality data assets. Responsibilities: • Lead the development of enterprise data pipelines and modeling solutions that enable reliable reporting, analytics, and operational decision-making. • Provide day-to-day technical direction for a small team of data engineers, offering mentorship, code guidance, and support for delivery priorities. • Design, build, and optimize ETL workflows using Python and SQL to move and transform data from a wide range of upstream systems. • Create and maintain scalable data structures in Snowflake and Databricks to support performance, usability, and long-term maintainability. • Establish engineering standards, documentation practices, and development approaches that improve consistency and quality across data initiatives. • Collaborate with business and technical stakeholders to translate data needs into practical architecture and implementation plans. • Contribute directly to hands-on coding, testing, troubleshooting, and deployment activities across the data engineering lifecycle. • Evaluate data quality, resolve integration challenges, and improve pipeline reliability through monitoring and continuous enhancement.
2026-07-17T00:00:00Z

Data Engineer

Saint Charles, MO
onsite
Temporary to Hire
38 - 44 USD / Hourly
We are seeking a Data Engineer to join the Enterprise Applications team with a Higher Education client. This role is responsible for designing, building, and maintaining systems for collecting, storing, integrating, and analyzing data from multiple sources across the organization. The Data Engineer will support a major admissions technology initiative involving the implementation of Slate CRM and will serve as a key resource for data conversion, migration, integration development, and data architecture efforts. The role will also contribute to data governance, security, and AI readiness initiatives. This is a 6 month contract to hire role. Responsibilities<ul><li>Collaborate with stakeholders to understand reporting, data, and analytics requirements.</li><li>Design, implement, document, and maintain data lakes and related data architectures.</li><li>Support data conversion, migration, and integration activities associated with the Slate CRM implementation.</li><li>Develop and maintain integrations between enterprise systems and applications.</li><li>Create and maintain data models, including star schema and dimensional models.</li><li>Prepare data environments for artificial intelligence (AI) adoption and usage.</li><li>Recommend technical solutions that align with business requirements.</li><li>Provide technical support for enterprise data systems and users.</li><li>Develop and maintain technical documentation, user guides, and operational procedures.</li><li>Manage system upgrades and enhancements, including testing and documentation updates.</li><li>Troubleshoot data access, data quality, and integration issues.</li><li>Develop and implement security configurations and support compliance with governance standards.</li><li>Create data validation methods and processes to ensure data accuracy and reliability.</li><li>Monitor system and integration performance and identify improvement opportunities.</li><li>Collaborate with internal teams and external vendors regarding system enhancements, fixes, and integrations.</li><li>Participate in planning and implementation of data-related initiatives.</li></ul>
2026-07-06T00:00:00Z

Data Engineer

Memphis, TN
onsite
Temporary / Contract
65 - 75 USD / Hourly
Location Requirements: • Local Memphis-area candidates only • Position is 100% onsite in Memphis, TN • Candidates must currently reside within the greater Memphis metropolitan area • Relocation assistance is not available • Must be authorized to work in the United States without current or future must be eligible to work in the U.S. • Third-party candidates, C2C arrangements, and subcontractors will not be considered We are seeking a Data Engineer / Data Warehouse Developer to design, develop, and maintain scalable data solutions that support enterprise reporting, analytics, and business operations. This role is responsible for building and optimizing data pipelines, integrating data from multiple sources, and ensuring the availability, accuracy, and performance of critical business data. The Data Engineer / Data Warehouse Developer will work closely with business stakeholders, analysts, and technical teams to develop data models, automate data processes, and support data-driven decision-making. Responsibilities include developing and maintaining ETL/ELT workflows, designing data warehouse solutions, optimizing SQL queries, troubleshooting data-related issues, and supporting cloud-based data platforms. The ideal candidate will possess a strong combination of database development, data integration, and programming experience with a passion for transforming complex data into actionable business insights. This individual must be comfortable working in a fast-paced environment while balancing multiple priorities and projects. Location Requirements: • Local Memphis-area candidates only • Position is 100% onsite in Memphis, TN • Candidates must currently reside within the greater Memphis metropolitan area • Relocation assistance is not available • Must be authorized to work in the United States without current or future must be eligible to work in the U.S. • Third-party candidates, C2C arrangements, and subcontractors will not be considered
2026-07-27T00:00:00Z

Data Engineer

Edina, MN
onsite
Permanent / Full Time
114000 - 141000 USD / Yearly
Seeking a Data Engineer to design, build, and maintain modern data pipelines, data models, reporting solutions, and analytics platforms. This role will support enterprise data initiatives using Microsoft Fabric, SAP, SQL, and Power BI while ensuring scalable, secure, and high-performing data solutions. Key Responsibilities:<ul><li>Build and maintain ETL/ELT data pipelines from SAP, SQL, and other enterprise data sources.</li><li>Develop and optimize data models within Microsoft Fabric for reporting and analytics.</li><li>Create and enhance Power BI dashboards and reports.</li><li>Utilize Power Apps and Power Automate to support data workflows.</li><li>Develop and support data science and analytical models.</li><li>Monitor and troubleshoot data pipelines, Lakehouse environments, and reporting solutions.</li><li>Support data governance initiatives by improving data quality and consistency.</li><li>Implement scalable, reusable solutions following CI/CD and best practices.</li></ul>
2026-07-22T00:00:00Z

Data Engineer

Phoenix, AZ
onsite
Temporary / Contract
0 - 0 USD / Yearly
Our client is seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data solutions that support business intelligence, analytics, and operational reporting initiatives. This role will partner closely with data analysts, software developers, and business stakeholders to ensure the organization's data infrastructure is reliable, secure, and optimized for performance.The ideal candidate will have experience working with large datasets, modern cloud platforms, ETL/ELT processes, and data warehousing technologies. This position offers the opportunity to play a key role in developing enterprise-wide data solutions that drive business decision-making.Key Responsibilities<ul><li>Design, develop, and maintain scalable data pipelines and integration processes.</li><li>Build, optimize, and support enterprise data warehouses and data lakes.</li><li>Develop ETL/ELT workflows to ingest, transform, and load data from various internal and external sources.</li><li>Collaborate with business and technical teams to define data requirements and deliver reliable reporting solutions.</li><li>Monitor and improve data quality, consistency, and governance practices.</li><li>Optimize database performance, query execution, and overall data architecture.</li><li>Implement data security, privacy, and compliance best practices.</li><li>Troubleshoot and resolve data-related issues across multiple systems and platforms.</li><li>Support business intelligence initiatives and provide clean, accessible datasets for reporting and analytics tools.</li><li>Create and maintain technical documentation, data dictionaries, and process documentation.</li></ul>
2026-07-31T00:00:00Z

Data Engineer

Arlington, VA
onsite
Permanent / Full Time
150000 - 190000 USD / Yearly
We are looking for a Data Engineer to join a team building dependable, scalable data solutions in Arlington, Virginia. This role focuses on designing modern data pipelines, improving the reliability of data platforms, and supporting analytics and operational needs across the business. The ideal candidate brings strong engineering depth, experience with cloud-based data ecosystems, and the ability to work closely with cross-functional partners to deliver high-quality data products. Responsibilities: • Design, build, and maintain scalable data pipelines and processing workflows that support reliable access to business-critical data. • Develop reusable data platforms and automation solutions that improve the efficiency, consistency, and performance of data operations. • Produce clear, maintainable, and well-documented code for data integration, transformation, and platform services. • Establish automated validation and testing practices to monitor accuracy, completeness, and overall data quality. • Partner with architects, product leaders, data scientists, and DevOps teams to deliver resilient data systems aligned with technical and business goals. • Assess new data sources, determine their value and fit, and implement effective ingestion approaches. • Deploy and integrate data management capabilities within enterprise or client environments while meeting operational requirements. • Strengthen data protection and continuity by identifying risks, supporting backup strategies, and contributing to recovery planning. • Build and support data storage solutions such as warehouses, lakes, and operational repositories for reporting and advanced analytics.
2026-07-20T00:00:00Z

Data Engineer

Nashville, TN
onsite
Temporary / Contract
55 - 65 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>
2026-07-16T00:00:00Z

Data Engineer

Tucson, AZ
onsite
Temporary / Contract
0 - 0 USD / Yearly
Our client is seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data solutions that support business intelligence, analytics, and operational reporting initiatives. This role will partner closely with data analysts, software developers, and business stakeholders to ensure the organization's data infrastructure is reliable, secure, and optimized for performance.The ideal candidate will have experience working with large datasets, modern cloud platforms, ETL/ELT processes, and data warehousing technologies. This position offers the opportunity to play a key role in developing enterprise-wide data solutions that drive business decision-making.Key Responsibilities<ul><li>Design, develop, and maintain scalable data pipelines and integration processes.</li><li>Build, optimize, and support enterprise data warehouses and data lakes.</li><li>Develop ETL/ELT workflows to ingest, transform, and load data from various internal and external sources.</li><li>Collaborate with business and technical teams to define data requirements and deliver reliable reporting solutions.</li><li>Monitor and improve data quality, consistency, and governance practices.</li><li>Optimize database performance, query execution, and overall data architecture.</li><li>Implement data security, privacy, and compliance best practices.</li><li>Troubleshoot and resolve data-related issues across multiple systems and platforms.</li><li>Support business intelligence initiatives and provide clean, accessible datasets for reporting and analytics tools.</li><li>Create and maintain technical documentation, data dictionaries, and process documentation.</li></ul>
2026-07-31T00:00:00Z

Data Engineer

Denver, CO
remote
Temporary / Contract
59.375 - 68.75 USD / Hourly
We are looking for an experienced Data Engineer to help shape and deliver Microsoft Fabric solutions that strengthen enterprise data, analytics, and reporting capabilities in Denver, Colorado. This Long-term Contract position will partner closely with business technology stakeholders to define scalable architecture, establish engineering standards, and improve the reliability of data platforms and reporting environments. The role requires hands-on expertise across Microsoft Fabric components, modern data integration approaches, and performance-focused design. You will also guide internal teams through best practices for governance, deployment, and operational readiness. Responsibilities: • Evaluate the current and planned Microsoft Fabric environment and identify effective architectural approaches for workspaces, storage, integration, and reporting solutions. • Create reusable data engineering frameworks for ingestion, transformation, and orchestration using Fabric pipelines, notebooks, Dataflows Gen2, Lakehouse structures, and Warehouse objects. • Plan connectivity and data movement strategies for enterprise applications, operational feeds, APIs, file-based inputs, and existing Microsoft or Azure data assets. • Define and recommend governance and security controls, including tenant configuration, workspace permissions, environment separation, sensitivity labeling, and lineage management. • Analyze capacity usage, workload distribution, refresh behavior, storage consumption, and query performance to improve scalability, cost efficiency, and platform stability. • Establish practical DevOps and release management standards for source control, deployment pipelines, environment promotion, documentation, and naming conventions across Fabric assets. • Develop monitoring guidance, operational metrics, alerting approaches, and support runbooks to assist with large-scale Fabric administration. • Lead knowledge-sharing sessions, technical walkthroughs, and documentation efforts so internal teams can effectively manage administration, engineering, governance, and Power BI-related activities.
2026-07-20T00:00:00Z

Data Engineer

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

Data Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a Data Engineer to build, maintain, and optimize scalable data pipelines and platforms. This role will support enterprise reporting, analytics, and business intelligence initiatives while ensuring high-quality, reliable data is available across the organization.Responsibilities<ul><li>Design and develop data pipelines and ETL processes</li><li>Integrate data from multiple internal and external sources</li><li>Maintain and optimize cloud and on-premise data platforms</li><li>Support data warehousing and reporting initiatives</li><li>Monitor data quality and resolve data integrity issues</li><li>Work closely with analysts, developers, and business teams</li></ul>
2026-07-24T00:00:00Z

Data Engineer

Minneapolis, MN
onsite
Temporary / Contract
57 - 66 USD / Hourly
Key ResponsibilitiesLeadership & Team Mentoring <ul><li>Lead, mentor, and develop a team of data engineers and BI developers.</li><li>Communicate business priorities, define goals, and establish clear KPIs to track performance and delivery.</li><li>Foster a collaborative and learning-oriented culture across technical and business functions.</li></ul>Data Engineering <ul><li>Design, build, and maintain scalable and efficient data pipelines and integrations across multiple internal and external systems.</li><li>Oversee ETL/ELT processes ensuring data accuracy, reliability, and timeliness.</li><li>Manage data models and data warehouse structures optimized for reporting, analytics, and advanced use cases (e.g., predictive modeling, machine learning).</li><li>Implement best practices in data architecture, automation, and version control (e.g., Git).</li></ul> Business Intelligence & Reporting<ul><li>Oversee the design and delivery of SSRS and Power BI dashboards, ensuring usability and alignment with business goals.</li><li>Establish and manage data visualization standards, reusable datasets, and semantic models for self-service analytics.</li><li>Collaborate with business stakeholders to gather requirements and translate them into technical specifications and BI solutions.</li></ul>
2026-07-21T00:00:00Z

Data Engineer

Madison, WI
onsite
Temporary to Hire
57 - 66 USD / Hourly
We are looking for an experienced Data Engineer to join a team in Madison, Wisconsin, in a contract capacity with the potential for a permanent role. This position will focus on building and optimizing modern data solutions that support scientific and business decision-making, with particular relevance to bioinformatics and life sciences data. The ideal candidate brings deep expertise in cloud-based data engineering, strong hands-on experience with Databricks and Azure, and the ability to collaborate effectively with technical and non-technical partners. Responsibilities: • Design, build, and maintain scalable data pipelines and integration workflows that support reporting, analytics, and downstream scientific applications. • Develop and optimize cloud-based data platforms using Databricks, Python, Spark, and Delta Lake to manage large and complex datasets efficiently. • Create and enhance data models, database objects, and processing logic within relational database environments to improve reliability and performance. • Implement data warehousing practices that enable trusted, organized, and accessible data for research and operational use. • Work with biological, genomic, and other omics data to support analysis, interpretation, and delivery of usable datasets for life sciences teams. • Partner with stakeholders across IT, research, and business functions to translate data needs into practical engineering solutions. • Apply strong analytical thinking to troubleshoot data issues, refine processes, and ensure alignment with scientific requirements. • Contribute within Agile delivery environments by participating in planning, iterative development, and cross-functional collaboration.
2026-07-20T00:00:00Z

Data Engineer

Chicago, IL
onsite
Temporary to Hire
59.375 - 68.75 USD / Hourly
We are looking for a Data Engineer to join a growing financial services organization in Chicago, Illinois. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building in a developing data environment, contributing to a modern cloud-based platform, and helping shape the next phase of the team’s capabilities. You will work closely with key data stakeholders in a nimble setting where initiative, sound judgment, and adaptability are highly valued. Responsibilities: • Design and support data workflows that collect, refine, and deliver information across a contemporary cloud ecosystem. • Develop and enhance scalable data pipelines using Python and automated ingestion platforms such as Fivetran or comparable tools. • Model and transform datasets within Snowflake to enable reliable analytics and downstream business intelligence reporting. • Collaborate closely with the data architect to expand and improve the organization’s overall data infrastructure. • Contribute to reporting readiness by preparing curated datasets for visualization tools including Power BI and Sigma. • Monitor pipeline performance and resolve data issues to maintain accuracy, consistency, and dependable delivery. • Assess emerging technologies and recommend practical additions to the data stack as business needs evolve. • Work effectively in a fast-paced team environment where priorities can shift and new tooling may be introduced regularly.
2026-07-31T00:00:00Z

Data Engineer

Westwood, CA
onsite
Temporary / Contract
115000 - 135000 USD / Yearly
Data EngineerLocation: Los Angeles, CaliforniaEmployment Type: Full-TimeRobert Half is seeking a Data Engineer for an exciting opportunity with a Los Angeles-based organization. This role is ideal for a mid-level professional with 5 to 7 years of experience building modern data solutions and supporting scalable analytics environments. The ideal candidate will have strong experience with cloud platforms, data pipeline development and performance optimization. Based on general knowledge.What You’ll Do<ul><li>Design, build and maintain scalable ETL/ELT pipelines. Based on general knowledge.</li><li>Integrate data from multiple sources to support reporting, analytics and business operations. Based on general knowledge.</li><li>Develop and optimize data models, workflows and warehouse structures. Based on general knowledge.</li><li>Support cloud-based data platforms and modern data architecture initiatives. Based on general knowledge.</li><li>Monitor data quality, troubleshoot issues and improve pipeline reliability. Based on general knowledge.</li><li>Collaborate with analysts, software engineers and business stakeholders to deliver data solutions. Based on general knowledge.</li><li>Help implement best practices for governance, security and operational efficiency. Based on general knowledge.</li></ul>
2026-07-17T00:00:00Z

Lead Data Architect

Middleton, WI
remote
Temporary / Contract
75 - 100 USD / Hourly
We are seeking a Lead Data Architect with deep expertise in digital commerce, product data architecture, and Adobe Commerce to lead the evolution of an enterprise product data ecosystem. This role is ideal for someone who thrives at the intersection of product information, commerce architecture, and data governance. You will own the technical architecture for customer-facing product data, helping define how product information is modeled, governed, and delivered across digital commerce platforms. The ideal candidate brings a strong background in **Product Content Management (PCM), Product Information Management (PIM), Adobe Commerce, and enterprise data architecture**, with the ability to improve existing solutions while designing a scalable future-state architecture. Responsibilities* Lead the architecture and strategy for customer-facing product data across digital commerce platforms.* Serve as the technical owner for Product Content Management (PCM) and Adobe Commerce architecture.* Design scalable product data models that support configurable products, product variants, bundles, kits, and complex product relationships.* Partner with Data Governance teams to improve data quality, stewardship, ownership, and consistency.* Define and optimize integrations between Adobe Commerce, ERP systems, PIM platforms, and content management systems.* Evaluate existing commerce architecture, identify gaps, and develop practical solutions that build upon current investments.* Improve product data structures to support personalization, customer-facing experiences, and future digital capabilities.* Collaborate with business and technical stakeholders to establish governance standards and long-term architecture strategy.* Provide hands-on architecture leadership while guiding enterprise product data initiatives. **First 30 Days*** Assess the current product data architecture and identify data quality and integration gaps.* Document workarounds and prioritize improvements based on business value and technical risk.* Develop remediation recommendations for the highest-priority issues. **First 90 Days*** Define and socialize the target-state architecture.* Establish a clear vision for product data governance and digital commerce integration.* Influence enterprise PIM planning and architectural direction. **First 12 Months*** Deliver a more stable, governed, and scalable product data architecture.* Establish a well-defined integration strategy between digital commerce platforms and enterprise product data systems.* Remove key product data constraints that enable future digital commerce capabilities.
2026-07-28T00:00:00Z

Data Scientist

Atlanta, GA
onsite
Permanent / Full Time
120000 - 140000 USD / Yearly
We are looking for a Data Scientist to join a fast-moving IT consulting environment in Atlanta, Georgia. This role focuses on turning complex data into practical business insights, with a strong emphasis on forecasting, predictive modeling, and customer-focused problem solving. The ideal candidate combines advanced machine learning expertise with hands-on data preparation skills and can clearly explain how analytical work influences end users and business outcomes. Responsibilities: • Build, validate, and refine forecasting and predictive models using Python and modern machine learning frameworks for business-driven use cases. • Develop analytical solutions with tools such as scikit-learn, XGBoost, LightGBM, and time-series or deep learning methods based on project needs. • Use Databricks and Apache Spark to process large datasets efficiently and support scalable model development workflows. • Prepare, transform, and organize data by writing queries, performing ETL tasks, and improving data quality for downstream analysis. • Translate technical findings into clear recommendations for clients and stakeholders, emphasizing business impact and user experience. • Partner with customer-facing teams to define problem statements, shape data-driven approaches, and deliver actionable insights in a fast-paced setting. • Apply product thinking when designing models and analytical outputs to ensure solutions align with customer needs and practical use. • Contribute domain knowledge to projects involving retail or consumer goods data, helping tailor models to industry-specific patterns and challenges.
2026-07-17T00:00:00Z

Data Scientist

Irvine, CA
onsite
Temporary / Contract
35 - 40 USD / Hourly
We are looking for an experienced Sr Data Scientist to support data-driven initiatives for a long-term contract opportunity in Irvine, California. This role is ideal for someone who can translate complex information into practical insights, work across technical and business teams, and contribute to high-impact analytical solutions. The position calls for strong expertise in data analysis, database-focused development, and domain awareness related to healthcare or government-supported programs. Responsibilities: • Build and refine analytical models and data solutions that support business decisions and operational goals. • Partner with stakeholders to gather requirements, define data needs, and deliver clear reporting or predictive insights. • Develop, optimize, and maintain database queries, data pipelines, and structured datasets for analysis and reporting. • Evaluate large and complex data sources to identify trends, risks, and opportunities for process improvement. • Collaborate with distributed and offshore team members to coordinate deliverables and maintain project continuity. • Apply knowledge of healthcare-related programs such as TRICARE when interpreting data and shaping analytical outputs. • Support hiring or workforce-related analytics by organizing data, measuring outcomes, and presenting findings to leadership. • Document methodologies, assumptions, and technical processes to promote consistency and knowledge sharing. • Contribute to ongoing enhancements involving NIS-related data environments or connected systems as needed.
2026-07-13T00:00:00Z

Data Analyst

Erlanger, KY
onsite
Temporary / Contract
38 - 44 USD / Hourly
We are looking for a detail-focused Data Analyst to join a Long-term Contract assignment supporting technical data quality and material information management in northern Kentucky. In this role, you will help maintain accurate, standardized data for raw materials and packaging components so teams can move product development, supplier onboarding, and manufacturing activities forward efficiently. This position works closely with research, quality, procurement, operations, and master data partners to strengthen consistency across systems and improve the reliability of material records. This role will be onsite 4 days a week and 1 day remote. Must be comfortable working in a lab/plant manufacturing setting. Responsibilities:• Manage the collection, review, and entry of technical specifications for raw materials and packaging components within designated data and specification platforms.• Verify that material records are complete, accurate, and aligned with company standards, compliance expectations, and approved documentation.• Apply consistent naming structures, formatting rules, and data standards to improve usability across regional and enterprise systems.• Investigate missing, conflicting, or outdated information in material specifications and resolve issues through coordination with cross-functional stakeholders.• Maintain material master records and ensure proper connections between specification data, system entries, and related documentation.• Build, revise, and validate bills of materials to support production readiness, product updates, supplier changes, and ongoing improvement efforts.• Partner with master data, procurement, operations, and technical teams to enhance data governance practices and streamline data management processes.• Monitor assigned project activities and data deliverables to help keep timelines on track and support broader documentation standardization efforts.
2026-07-20T00:00:00Z

Data Analyst

Augusta, GA
remote
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is hiring! We are looking for a detail-oriented Data Analyst to join a SaaS organization. In this role, you will turn complex business and customer data into clear insights that support product, sales, marketing, and customer success decisions. You will help strengthen reporting accuracy, improve visibility into performance trends, and communicate findings in a way that guides action across both technical and non-technical teams. Responsibilities:• Gather, organize, and assess data from varied sources to maintain reliable, consistent information for analysis and reporting.• Build and refine dashboards, recurring reports, and performance metrics that help leaders track business results.• Examine trends in customer activity, product engagement, retention, and churn to uncover meaningful patterns and opportunities.• Collaborate with product stakeholders to measure feature usage and evaluate the business impact of product updates and releases.• Provide analytical support to sales and marketing teams by reviewing pipeline activity, conversion performance, acquisition costs, and campaign outcomes.• Partner with customer success teams to identify insights that can improve client satisfaction, loyalty, and long-term retention.• Conduct targeted analyses that address strategic questions and translate findings into practical recommendations.• Plan and track experiments and A/B tests to inform product and marketing decisions with data-driven evidence.• Maintain clear documentation for key metrics, reporting standards, data definitions, and analytics procedures.• Recommend and support enhancements to data quality, reporting automation, and analytics processes while presenting insights through effective visuals and summaries.
2026-07-13T00:00:00Z