183 Results for Data Scientist Jobs in Usa

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Data Analyst

Nashville, TN
remote
Permanent / Full Time
100000 - 120000 USD / Yearly
We are looking for a Data Analyst to support reliable data operations and help maintain the flow, quality, and usability of critical information across the organization. This role is based in Nashville, Tennessee, and is well suited for someone who combines strong Python and SQL skills with a methodical approach to troubleshooting data issues. The person in this position will work closely with technical teams and business partners to identify problems, improve pipeline performance, and keep stakeholders informed in a fast-paced environment. Responsibilities: • Oversee daily data processing activities to identify failed loads, broken workflows, or feed issues and take prompt action to restore normal operations. • Investigate delays in incoming data, determine underlying causes, and implement corrective steps to improve consistency and timeliness. • Collaborate with internal technology teams, delivery partners, and external vendors to communicate status updates, risks, and progress on data-related work. • Troubleshoot coding and data quality problems, fulfill support requests, and develop practical measures that reduce repeat incidents. • Evaluate competing issues independently, set priorities based on business impact, and recommend improvements to inefficient code or operational processes. • Maintain clear documentation and provide regular communication so stakeholders understand incidents, resolutions, and next steps. • Participate in an on-call support rotation to respond to pipeline or data availability incidents when needed. • Contribute to additional operational and analytical initiatives that strengthen data reliability and support organizational goals.
2026-10-01T00:00:00Z

Data Analyst

Irvine, CA
onsite
Temporary / Contract
30.4 - 33 USD / Hourly
We are looking for a detail-oriented Data Analyst to support operations in Irvine, California through accurate data management and insightful reporting. This Long-term Contract position focuses on maintaining data quality, producing timely analyses, and helping stakeholders review financial and operational information with confidence. The role is well suited for someone who is comfortable working with large datasets, identifying irregular patterns, and using Power BI to turn information into clear business insight. Responsibilities:• Maintain and update datasets to ensure records remain complete, accurate, and ready for reporting needs.• Prepare ad hoc analyses and recurring reports that help teams monitor business performance and respond to emerging questions.• Review financial information for consistency, highlight unusual findings, and support follow-up analysis when discrepancies appear.• Build and refine Power BI dashboards and visual reports that present trends, exceptions, and key metrics in a clear format.• Examine transactional and operational data to detect suspicious activity and contribute to fraud-related analysis efforts.• Support investigations by organizing relevant data, validating source information, and summarizing findings for internal stakeholders.• Perform routine data quality checks and resolve inconsistencies to improve reliability across reporting outputs.
2026-10-16T00:00:00Z

Data Scientist/MLE

Pittsburgh, PA
onsite
Temporary / Contract
85000 - 200000 USD / Yearly
We are looking for Data Analytics, Data Science, and AI professionals interested in exploring new opportunities with organizations leveraging data to drive strategic decision-making and innovation. We are partnering with multiple companies seeking talent across analytics, machine learning, artificial intelligence, and advanced reporting functions. Location: Pittsburgh, PA (Hybrid and Onsite Opportunities Available)Compensation: $85,000 - $200,000+ depending on experience and positionSchedule: Full-Time Opportunities May Include:<ul><li>Data Analyst</li><li>Senior Data Analyst</li><li>Business Intelligence Analyst</li><li>BI Developer</li><li>Data Scientist</li><li>Senior Data Scientist</li><li>Machine Learning Engineer</li><li>AI Engineer</li><li>Applied AI Engineer</li><li>AI/ML Engineer</li><li>Manager, Data & Analytics</li></ul>Responsibilities:<ul><li>Analyze large datasets to uncover trends, patterns, and actionable insights</li><li>Build dashboards, reports, and visualizations for business stakeholders</li><li>Develop predictive models, machine learning solutions, and AI-driven applications</li><li>Partner with cross-functional teams to solve complex business challenges</li><li>Evaluate and improve data quality, reporting accuracy, and analytical processes</li><li>Develop and deploy machine learning models into production environments</li><li>Communicate findings and recommendations to technical and non-technical audiences</li></ul>
2026-10-14T00:00:00Z

Data Scientist AI & ML Analyst

Des Moines, IA
onsite
Permanent / Full Time
80000 - 100000 USD / Yearly
Position: Data Scientist | AI & ML Analyst Location: Des Moines, IA -- Hybrid Salary: $80,000 - $100,000 base annual salary with 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 Scientist | AI & Machine Learning Help Shape the Future of AI, Machine Learning & Predictive Analytics Are you passionate about using data, machine learning, and advanced analytics to solve real-world business challenges? We're partnering with a successful, established technology consulting organization seeking a Data Scientist | AI & Machine Learning professional to help expand its growing analytics and AI capabilities. This is an opportunity to make a visible impact, influence technical direction, and work on meaningful projects from concept to production. What You'll Do • Develop and enhance machine learning and predictive analytics models • Improve anomaly detection and forecasting capabilities • Analyze complex data using Python and SQL • Evaluate model performance and recommend improvements • Partner with analysts and stakeholders to solve business problems • Help shape AI/ML methodologies, tools, and best practices What We're Looking For • Experience in Data Science, Machine Learning, Predictive Analytics, or Advanced Analytics • Strong Python skills, including libraries such as Pandas, NumPy, and Scikit-Learn • Strong SQL and data analysis capabilities • Experience with statistical modeling, forecasting, anomaly detection, or predictive analytics • Ability to communicate insights to both technical and non-technical audiences • Self-directed, collaborative, and intellectually curious Why This Opportunity Stands Out • Help build and influence a growing AI/ML practice • Work directly with leadership and key decision-makers • Make an end-to-end impact on projects and outcomes • Join a successful, stable organization with exceptional employee tenure • Collaborative, family-oriented culture where people genuinely enjoy working together • Entrepreneurial environment that rewards initiative and fresh ideas • Hybrid work environment after onboarding • Competitive compensation up to $100,000 Who Thrives Here? The most successful individuals in this environment are hungry, humble, smart, and self-motivated. They enjoy wearing multiple hats, solving difficult problems, collaborating with others, and seeing the direct impact of their work. If you're looking for an opportunity where your ideas matter, your contributions are visible, and your work can help shape the future of AI and analytics, we'd love to connect. *** 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. ***
2026-10-19T00:00:00Z

Data Scientist II

San Ramon, CA
remote
Permanent / Full Time
119000 - 180000 USD / Yearly
Our client is seeking a Data Scientist II – Generative AI to join a cutting-edge team focused on building scalable, production-ready AI solutions that transform business workflows and deliver measurable impact across global operations. This role is ideal for professionals passionate about leveraging Generative AI technologies, creating intelligent agents, and driving innovation at scale. You will design and implement GenAI-powered agents that streamline internal processes, enhance productivity, and support business development initiatives. Responsibilities include developing robust prompt engineering frameworks, building RAG pipelines, and converting prototypes into production-ready solutions. You’ll collaborate closely with engineering and business teams to ensure solutions meet diverse client needs and are optimized for global deployment. Key projects include extending the company’s GPT platform, creating AI agents that improve efficiencies for RFP development, onboarding materials, and SOW requirements. Success in this role means quickly ramping up on backlog projects, delivering high-priority initiatives, and staying ahead of emerging GenAI frameworks to continuously advance internal AI capabilities.
2026-09-28T00:00:00Z

Data Analyst I

Phoenix, AZ
onsite
Temporary / Contract
20 - 24 USD / Hourly
Data Analyst ILocation: Hybrid, 4 days onsite / 1 day remote Duration: Contract with potential for full-time conversion This entry-level Data Analyst opportunity is ideal for a highly curious, analytical, and proactive problem solver who enjoys identifying trends, investigating issues, improving processes, and driving operational efficiency. The role focuses on root cause analysis, process optimization, and collaborating with business partners to create sustainable operational improvements. Responsibilities:<ul><li>Identify trends, recurring issues, and opportunities for process improvement across operational workflows</li><li>Investigate root causes of issues and implement sustainable corrective actions</li><li>Analyze data from daily reports, closed tickets, and workflow activities to improve operational efficiency</li><li>Research, troubleshoot, and resolve complex or unfamiliar issues</li><li>Document findings, recommendations, process updates, and operational changes</li><li>Partner with stakeholders to streamline processes and eliminate unnecessary work</li><li>Monitor workflow performance and recommend enhancements to improve business outcomes</li><li>Support continuous improvement initiatives through data-driven analysis and problem-solving</li></ul>
2026-10-06T00:00:00Z

Data Scientist (Big Data) III (Contractor)

Philadelphia, PA
onsite
Temporary / Contract
56 - 61 USD / Hourly
Data Scientist III (Supply Chain Optimization & Forecasting)Long Term ContractHybrid Philadelphia, PAPay: Available on W2OverviewWe are seeking an experienced Data Scientist III to support a Supply Chain Planning Center of Excellence focused on forecasting, inventory optimization, and advanced analytics. This individual will design and deploy data science and operations research solutions that improve demand planning, inventory performance, and supply chain decision-making across complex business networks.This role requires a combination of Data Science and Operations Research expertise. Candidates should be comfortable building machine learning models as well as optimization and linear programming solutions that support supply chain planning and inventory decisions.Key ResponsibilitiesForecasting & Data Science<ul><li>Develop and deploy time-series forecasting and machine learning models to improve demand planning performance.</li><li>Build and enhance demand forecasting models and machine learning solutions.</li><li>Develop inventory optimization, linear programming, and Operations Research models that improve planning decisions.</li><li>Analyze inventory performance, demand variability, and forecasting accuracy to improve business outcomes.</li><li>Translate business requirements into scalable analytical solutions.</li><li>Perform feature engineering, model development, validation, and statistical analysis using large-scale supply chain datasets.</li></ul>Inventory Optimization & MEIO<ul><li>Lead the development, enhancement, and ownership of Multi-Echelon Inventory Optimization (MEIO) models.</li><li>Translate business requirements, operational constraints, and planning policies into mathematical optimization models and decision-support tools.</li><li>Develop optimization logic that balances inventory investment, service levels, safety stock, lead-time variability, network constraints, and cost objectives.</li></ul>Optimization Engineering<ul><li>Build and maintain mathematical optimization models using commercial optimization solvers such as Gurobi or similar platforms.</li><li>Apply optimization techniques including linear programming, mixed-integer programming, scenario modeling, simulation, and uncertainty-aware optimization.</li></ul>Data Engineering & Operationalization<ul><li>Develop and maintain SQL-based ETL processes and data pipelines that support optimization and forecasting solutions.</li><li>Partner with data engineering teams to ensure data quality, availability, and reliability.</li><li>Create monitoring, governance, and documentation processes to support production-ready solutions.</li></ul>
2026-10-20T00:00:00Z

Data Engineer - Python/Snowflake

Houston, TX
onsite
Permanent / Full Time
110000 - 160000 USD / Yearly
Join a growing data engineering team supporting mission-critical analytics and business operations within the energy, commodities trading, oil & gas, or financial services sector. This role is focused on designing and supporting cloud-based data solutions using Python, Snowflake, and AWS, enabling scalable, reliable, and high-performance data platforms.You will work closely with business stakeholders, analysts, and engineering teams to build production-grade data pipelines, modernize legacy data environments, and deliver trusted datasets that support operational and strategic decision-making. Responsibilities<ul><li>Design, develop, and maintain scalable Python-based data pipelines that ingest, transform, and deliver data from internal and external sources.</li><li>Build and optimize data models within Snowflake, ensuring performance, scalability, and cost efficiency.</li><li>Develop ELT/ETL solutions leveraging cloud-native AWS services.</li><li>Create, monitor, and support batch and near real-time data integration workflows.</li><li>Work with structured, semi-structured, and time-series datasets from operational, trading, financial, and market data systems.</li><li>Modernize legacy data processes and migrate legacy database workloads into modern cloud architectures.</li><li>Implement data quality, reconciliation, monitoring, and alerting capabilities across the data platform.</li><li>Collaborate with analysts, traders, business users, and technology teams to deliver data solutions aligned with business objectives.</li><li>Participate in code reviews, testing, documentation, and deployment activities following engineering best practices.</li><li>Support production environments and troubleshoot data pipeline issues as needed.</li></ul>
2026-10-05T00:00:00Z

Data Architect

Glendale, AZ
onsite
Temporary / Contract
100 - 105 USD / Hourly
Robert Half is working with a client who is looking to hire a Data Architect to help define the architecture and technical direction of a major enterprise data modernization initiative.This individual will be responsible for designing scalable data platforms, establishing enterprise data standards, and providing architectural guidance across engineering, analytics, reporting, and AI initiatives.Responsibilities<ul><li>Design enterprise data architecture across cloud and on-premise environments.</li><li>Define architectural standards for data ingestion, storage, transformation, governance, and consumption.</li><li>Develop conceptual, logical, and physical data models.</li><li>Provide technical direction to Data Engineers and Analytics teams.</li><li>Evaluate technologies and recommend appropriate data platform solutions.</li><li>Design integrations across ERP, CRM, operational, and third-party systems.</li><li>Partner with security and governance teams to establish data controls.</li><li>Support cloud migration and data platform modernization projects.</li><li>Create architecture diagrams, roadmaps, and technical documentation.</li></ul>
2026-10-06T00:00:00Z

Business Analytics/Data Analyst

Arlington, TX
onsite
Temporary / Contract
40.85 - 47.3 USD / Hourly
We are looking for a Business Analytics/Data Analyst to support data-driven decision-making for a Contract position based in Arlington, Texas. This role focuses on transforming complex contract and business data into clear insights that improve reporting, compliance awareness, and operational performance. The ideal candidate will combine strong analytical capability with business intelligence expertise to interpret trends, validate information, and deliver actionable recommendations. Responsibilities: • Analyze business and contract-related data to identify patterns, exceptions, and opportunities for improved decision-making. • Build and maintain business intelligence reports, dashboards, and visual summaries that present findings clearly to stakeholders. • Review commercial contract information and related records to support audits, data validation, and reporting accuracy. • Extract, organize, and abstract data from multiple sources to create reliable datasets for analysis and business review. • Use analytical tools to evaluate performance metrics, contract terms, and operational results across key business areas. • Partner with internal teams to clarify reporting needs, refine data requirements, and provide insight into business trends. • Monitor data quality by investigating inconsistencies, resolving discrepancies, and promoting accurate documentation standards. • Prepare concise summaries and recommendations that help leadership understand risks, results, and areas for improvement.
2026-10-20T00:00:00Z

Business Analytics/Data Analyst

Santa Ana, CA
onsite
Temporary / Contract
60 - 70 USD / Hourly
We are looking for a Business Analytics/Data Analyst to support finance and operations through in-depth analysis of complex business data in Santa Ana, California. This is a Long-term Contract opportunity expected to run 3 to 6 months, with a hybrid schedule that includes two days onsite each week. The person in this role will translate large datasets into practical reporting, performance insights, and decision support for leadership while working closely with finance and technology stakeholders. Responsibilities: • Gather, extract, and organize high-volume financial and operational information from core business systems for analysis and reporting. • Create and refine SQL queries, including developing new queries when needed to access and structure data effectively. • Build dashboards, recurring reports, and visual reporting tools in Power BI and other reporting platforms to support leadership decisions. • Perform advanced analysis and spreadsheet modeling in Excel to evaluate trends, productivity, and business performance. • Develop analytical models tied to operational outcomes such as project costs, workforce efficiency, and employee-related returns. • Deliver custom financial and operational insights on an ad hoc basis for finance leaders and other business stakeholders. • Collaborate with technology partners to improve data access, reporting reliability, and analytical workflows across systems. • Interpret datasets through an accounting and finance lens to ensure reporting aligns with business and financial meaning. • Recreate or rebuild important reporting logic and query-based outputs when legacy processes are not readily available.
2026-10-19T00:00:00Z

Data Engineer - Lead

Houston, TX
onsite
Permanent / Full Time
175000 - 225000 USD / Yearly
We are looking for an experienced Lead Data Engineer to oversee the design, implementation, and management of advanced data infrastructure in Houston, Texas. This role requires expertise in architecting scalable solutions, optimizing data pipelines, and ensuring data quality to support analytics, machine learning, and real-time processing. The ideal candidate will have a deep understanding of Lakehouse architecture and Medallion design principles to deliver robust and governed data solutions. Responsibilities: • Develop and implement scalable data pipelines to ingest, process, and store large datasets using tools such as Apache Spark, Hadoop, and Kafka. • Utilize cloud platforms like AWS or Azure to manage data storage and processing, leveraging services such as S3, Lambda, and Azure Data Lake. • Design and operationalize data architecture following Medallion patterns to ensure data usability and quality across Bronze, Silver, and Gold layers. • Build and optimize data models and storage solutions, including Databricks Lakehouses, to support analytical and operational needs. • Automate data workflows using tools like Apache Airflow and Fivetran to streamline integration and improve efficiency. • Lead initiatives to establish best practices in data management, facilitating knowledge sharing and collaboration across technical and business teams. • Collaborate with data scientists to provide infrastructure and tools for complex analytical models, using programming languages like Python or R. • Implement and enforce data governance policies, including encryption, masking, and access controls, within cloud environments. • Monitor and troubleshoot data pipelines for performance issues, applying tuning techniques to enhance throughput and reliability. • Stay updated with emerging technologies in data engineering and advocate for improvements to the organization's data systems.
2026-10-05T00:00:00Z

Data Engineer II

Lakewood, OH
remote
Permanent / Full Time
77000 - 115000 USD / Yearly
The Data Engineer II will play a vital role in our Data transformation journey — helping move the organization toward a future state where decision-makers have the right data, in real time, when they need it. This role is responsible for driving the execution of key data projects, including data management, data conversions, ongoing ingestion pipelines, and data platform engineering and operations. The ideal candidate will work across systems and teams to ensure data flows seamlessly, reliably, and securely throughout the enterprise, supporting both strategic initiatives and day-to-day operations. Duties and Responsibilities: Develop an understanding of our current data landscape Administer and optimize Snowflake and other data platforms to ensure performance and alignment with business goals including role/permission management performance tuning, cost optimization, and capacity planning. Manage operations of the Data Warehouse, Middleware/Azure Enterprise Service Bus (ESB), Cognos, and related analytics tools. Provide secondary support for Data Integration & Platform Engineering responsibilities, including assisting with system maintenance, data pipeline operations, and platform enhancements. Stay informed on emerging data technologies and trends, sharing insights to help identify opportunities for innovation and improved data use. Help implement scalable and efficient data solutions that improve business insights and operational performance. Collaborate with IT and business stakeholders to support data access, usability, and consistency across departments. Participate in the integration of new tools and systems, ensuring seamless functionality and data accuracy. Provide advanced support by resolving escalated issues from Data Engineer I, ensuring timely and effective resolution of complex technical challenges. Contribute to a collaborative, high-performing team culture by supporting peers and sharing knowledge. Enforce data governance policies, ensuring data is secure, consistent, and compliant with regulations. Support efforts to meet financial regulations and cybersecurity standards in all data-related systems. Administrator and/or deliver configuration requests in our Azure ESB environment to Banking Core System through APIs. Design and develop pipelines for additional data vendors Recommend, implement and maintain best practices for the environment Ability to illustrate and maintain the enterprise’s data systems architecture Complies with all applicable banking laws and regulations, including, but not limited to the Bank Secrecy Act, must be eligible to work in the U.S. Patriot Act, and related anti-money laundering statutes, and federal consumer protection legislation and regulations. Builds working knowledge of all applicable laws and regulations. Other duties as assigned
2026-10-16T00:00:00Z

Database Engineer

Westlake, OH
onsite
Permanent / Full Time
70000 - 155000 USD / Yearly
We are looking for a skilled Database Engineer to join our team in Westlake, Ohio. In this role, you will design, implement, and optimize database solutions to support business operations and data-driven decision-making. You will collaborate with cross-functional teams and leverage advanced technologies to ensure robust database performance and scalability. Responsibilities: • Design and implement database solutions that align with business requirements and technical specifications. • Optimize and tune database performance to ensure efficiency and scalability. • Collaborate with cross-functional teams to analyze data needs and develop appropriate solutions. • Write, test, and troubleshoot complex SQL queries, including joins, aggregations, and stored procedures. • Monitor and maintain database systems, performing regular updates and performance checks. • Utilize source control and CI/CD tools, such as Azure DevOps, to manage database development and deployment. • Stay updated on emerging technologies and integrate new tools into existing systems as needed. • Provide technical guidance and support to team members regarding database-related issues. • Ensure data integrity and security through regular audits and implementation of best practices.
2026-10-01T00:00:00Z

Snowflake Data Engineer

Radnor, PA
onsite
Permanent / Full Time
140000 - 160000 USD / Yearly
We are looking for a Snowflake Data Engineer to build modern data solutions that support analytics, AI, and enterprise decision-making. This role will focus on creating reliable pipelines, scalable data models, and secure data products within a Snowflake environment. The position is based in Radnor, Pennsylvania, and offers the opportunity to work closely with engineering, security, product, and business teams on high-impact initiatives. Responsibilities: • Architect and maintain scalable data pipelines, transformation workflows, and structured data models within Snowflake to support reporting, analytics, and AI use cases. • Develop and deploy AI and machine learning capabilities using Snowflake-native tools, including intelligent agents, search-driven experiences, and customer-facing applications where applicable. • Define and manage semantic views and business logic layers that provide governed, consistent definitions for analytics and AI consumption. • Implement and support data ingestion frameworks using technologies such as Kafka, Snowpipe, APIs, Openflow, and third-party connectors, including integrations with enterprise platforms like NetSuite. • Create reusable engineering utilities and automation with SQL, SnowSQL or related Snowflake tooling, Python, and JavaScript when appropriate. • Establish strong production standards through automated testing, data quality validation, observability, exception handling, and controlled deployment processes. • Tune queries, pipelines, AI workloads, and data structures to improve performance, scalability, maintainability, and downstream usability. • Design secure data-sharing solutions and data-product delivery patterns for internal stakeholders, external partners, and customers. • Collaborate with platform administrators and security teams to align access controls, governance requirements, identity integration, and production readiness for Snowflake solutions. • Investigate and resolve issues affecting pipelines, semantic models, applications, and data quality while partnering across technical and business teams to deliver durable solutions.
2026-09-23T00:00:00Z

Data Automation Engineer

Washington, DC
remote
Temporary / Contract
48 - 54 USD / Hourly
We are looking for a Data Automation Engineer to design, develop, and maintain scalable data automation solutions leveraging AWS cloud services, selected Azure technologies, and emerging Generative AI capabilities. Key Responsibilities:· Design and implement scalable data automation workflows using AWS services with integration to Azure platforms.· Develop and maintain ETL/ELT processes to ingest, transform, and move data across DynamoDB, SQL Server, Azure SQL, and other enterprise data sources.· Build and support batch and near real-time data pipelines using Apache Spark and streaming technologies such as Kafka or Flume.· Develop scalable data processing solutions utilizing Amazon EMR, AWS Fargate, Kubernetes, and related cloud technologies.· Integrate REST APIs, external services, and Amazon Connect customer interaction data into analytics platforms.· Evaluate and prototype Generative AI solutions using Amazon Bedrock, Azure OpenAI, Hugging Face, LangChain, and related technologies.· Implement source control, CI/CD, and automation practices using GitHub, Azure DevOps, Jenkins, Docker, and Agile methodologies.· Ensure data solutions meet security and compliance requirements, including IAM, encryption, RBAC, VPC isolation, and firewall policies.
2026-10-15T00:00:00Z

Director, Data Analytics/AI

San Antonio, TX
onsite
Temporary to Hire
66.5 - 77 USD / Hourly
We are looking for a Manager/Director level candidate to join a contract-to-permanent role based in San Antonio, Texas, to help support initiatives around Data Analytics and AI. In this role, you will partner with stakeholders across multiple business functions to uncover opportunities, shape technology-driven solutions, and guide analytics initiatives that improve decision-making. This position will play a key role in leading business intelligence efforts, with a strong focus on Power BI, data strategy, and modern cloud-enabled architectures. Responsibilities: • Drive cross-functional analysis to identify business challenges, define opportunities for improvement, and recommend practical technology solutions aligned with organizational goals. • Lead the design and advancement of analytics and business intelligence capabilities, including oversight of Power BI reporting environments and semantic or tabular data models. • Collaborate with technical teams and business leaders to translate operational needs into scalable data, reporting, and application requirements. • Provide leadership across the software development lifecycle, supporting planning, solution design, delivery, testing, and ongoing enhancement activities. • Architect and integrate both on-premises and cloud-based platforms to support reporting, data access, and enterprise analytics initiatives. • Guide data warehousing strategies and SQL-based data solutions to ensure reliable, high-quality information is available for business users. • Support the implementation of cloud technologies and connected systems, including integration work involving XML and related standards such as XPath. • Mentor and coordinate development resources, helping ensure delivery standards, technical quality, and best practices are consistently followed.
2026-10-07T00:00:00Z

Data/Information Architect

Wayne, PA
remote
Temporary / Contract
57 - 66 USD / Hourly
We are looking for an experienced Data/Information Architect to shape and advance a modern cloud-based data environment. This long-term contract opportunity is well suited for someone who can define scalable architecture, optimize data flow, and support enterprise reporting and analytics needs. The role centers on designing high-performing Snowflake solutions, establishing strong data models, and connecting information from multiple business platforms into a unified ecosystem. Responsibilities: • Define and evolve the overall architecture for a cloud data platform with a focus on scalability, reliability, and long-term performance. • Create Snowflake-based solutions that support efficient data storage, transformation, and consumption for analytics and reporting. • Develop logical and physical data models that improve consistency, usability, and governance across enterprise datasets. • Integrate data from a range of internal business applications and external sources to build a connected and dependable information framework. • Partner with technical and business stakeholders to translate reporting and analytical goals into practical architectural designs. • Establish standards for data organization, documentation, and file management to support accuracy, accessibility, and compliance needs. • Review existing data processes and recommend improvements that strengthen platform efficiency, quality, and maintainability. • Provide architectural guidance on digital content and documentation-related data structures where they intersect with enterprise information systems.
2026-10-16T00:00:00Z

Senior Data Engineer (Databricks)

Morristown, NJ
remote
Permanent / Full Time
120000 - 145000 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. experience in CANDIDATES SHOULD HAVE EXPERIENCE WITH: Serving as a Databricks SME ERP integrations (strong plus) Python / PySpark Performance tuning and optimization Databricks maintenance, including VACUUM Data governance and best practices Semantic modeling RESPONSIBILITIES Architecture & Strategy: Design the ERDW.Next lakehouse (medallion/gold layer star schema) and govern data modeling, batch/streaming, and Delta Live Tables standards. 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. 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. Governance & AI: Implement Unity Catalog governance (entitlements, lineage, audit) and curate Databricks Genie Agents for natural-language analytics. 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.
2026-10-13T00:00:00Z

Director of Data & Analytics

Worcester, MA
onsite
Permanent / Full Time
160000 - 170000 USD / Yearly
We are looking for a strategic data leader to shape and advance the enterprise approach to analytics, governance, and modern data platforms in Worcester, Massachusetts. This position will guide the development of scalable capabilities that support reporting, advanced analysis, and informed decision-making across the institution. The Director will work closely with senior leaders and campus partners to strengthen data operations, expand analytical maturity, and lead teams responsible for engineering and business intelligence. Responsibilities:• Create and lead a long-term data and analytics roadmap that supports institutional priorities and measurable business outcomes.• Direct enterprise functions across data architecture, engineering, reporting, and analytics to deliver reliable and effective information services.• Implement standards for data governance, quality, security, and master data practices to improve trust and consistency across systems.• Oversee the design and growth of cloud-based data environments, including warehouses, lakes, and integration frameworks that scale with organizational needs.• Collaborate with executive and operational stakeholders to deliver dashboards, performance reporting, and self-service tools that enable better decisions.• Advance modernization efforts by identifying and applying opportunities in AI, machine learning, and other sophisticated analytics capabilities.• Manage platform performance, vendor partnerships, budgeting, and resource allocation to ensure sustainable operations and delivery.• Recruit, coach, and develop data engineering, analytics, and BI professionals while fostering a collaborative and high-performing team culture.• Champion data literacy across the organization by encouraging evidence-based practices and broader adoption of analytical tools and insights.
2026-10-14T00:00:00Z

Data Migration Analyst

Portland, OR
onsite
Temporary / Contract
38 - 45 USD / Hourly
Our client is seeking a Data Migration Analyst to support a critical migration from ADP to Workday. This is a hands-on role focused on extracting, transforming, validating, and loading financial data into Workday during a large-scale system implementation. The ideal candidate will bring a strong finance background, advanced Excel skills, and experience supporting ERP or Workday data migrations. Key Responsibilities<ul><li>Extract, clean, and transform financial data from ADP and related sources into Workday migration templates.</li><li>Perform data mapping and validation</li><li>Manipulate downloaded data to fit established migration templates for upload into Workday.</li><li>Participate in data migration testing, user acceptance testing (UAT), and issue resolution.</li><li>Identify data discrepancies, troubleshoot errors, and escalate concerns to the finance team.</li><li>Support ongoing data load activities beginning in November and continuing throughout the implementation, likely through April 2027.</li></ul>
2026-10-16T00:00:00Z

Data Analyst Basic (1-3 years)

Newark, DE
onsite
Temporary / Contract
30 - 30 USD / Hourly
<ul><li>Position: Data Analyst - Legal Entity Management (Contract-to-Hire)</li><li>Location: Newark, DE 19713</li><li>Schedule: 100% Onsite, Monday-Friday, 9:00 AM - 5:00 PM</li><li>Required Experience: 2+ years of experience working with legal entity documentation, onboarding, data gathering, or financial services operations</li><li>Tentative Pay Rate: $30.00 per hour</li></ul>Job DescriptionOur client is seeking a detail-oriented Data Analyst to join the CAPO - Legal Entity Management team supporting Global Alternatives. This role is responsible for reviewing and interpreting legal entity documentation, supporting entity onboarding and maintenance activities, ensuring data quality, and partnering with stakeholders across the business to meet regulatory and operational requirements.The ideal candidate will have strong analytical skills, experience handling sensitive information, exceptional attention to detail, and the ability to manage multiple priorities in a fast-paced environment.Key Responsibilities<ul><li>Support end-to-end legal entity onboarding and maintenance across firmwide platforms</li><li>Review, analyze, and interpret legal entity documents and supporting records</li><li>Gather, validate, and maintain legal entity and financial data</li><li>Handle sensitive PII and ensure compliance with data retention requirements</li><li>Prepare and support monthly, quarterly, and annual reporting activities</li><li>Maintain audit-ready documentation and evidence supporting regulatory controls</li><li>Partner with business stakeholders, operations teams, controllers, and regulatory groups</li><li>Conduct data quality reviews and resolve documentation or data discrepancies</li><li>Assist with process improvement initiatives, automation opportunities, and data governance projects</li><li>Support special projects aligned with legal entity management and reporting objectives</li></ul>
2026-10-20T00:00:00Z

Lead Data Engineer

Los Angeles, CA
remote
Permanent / Full Time
175000 - 180000 USD / Yearly
Lead Data Engineer Company Overview A media organization is seeking a Lead Data Engineer to support enterprise data, analytics, and emerging technology initiatives. This role offers the opportunity to lead technical projects, mentor engineers, and help shape the organization's data strategy. Role Summary The Lead Data Engineer will be a hands-on technical leader responsible for data engineering, analytics, automation, and AI-related initiatives. This role combines individual contribution, technical direction, team mentorship, and cross-functional collaboration. Key Responsibilities<ul><li>Lead the design, development, and support of enterprise data solutions.</li><li>Provide technical leadership and establish development best practices.</li><li>Oversee data pipelines, integrations, reporting, and automation initiatives.</li><li>Partner with business and technology stakeholders to prioritize work and deliver solutions.</li><li>Monitor data quality, reliability, and operational performance.</li><li>Mentor team members and support their technical development.</li><li>Evaluate emerging technologies and identify opportunities for innovation.</li></ul>
2026-10-09T00:00:00Z

Lead Data Engineer

Atlanta, GA
onsite
Permanent / Full Time
175000 - 185000 USD / Yearly
Robert Half is working with a client in the Atlanta area seeking a Senior Lead Data Engineer.<ul><li>Lead the design, development, and optimization of enterprise data platforms and data warehouse solutions</li><li>Drive the migration and modernization of legacy data environments to Snowflake</li><li>Architect and build scalable ETL/ELT pipelines that support analytics, reporting, and business intelligence initiatives</li><li>Design and maintain high-performance data models, data architectures, and data integration frameworks</li><li>Implement data quality, governance, monitoring, and performance optimization best practices</li><li>Serve as the technical lead for data engineering initiatives and help define the long-term data strategy and roadmap</li><li>Partner closely with business stakeholders, product teams, and technical leadership to translate requirements into scalable solutions</li><li>Utilize Airflow and/or Astronomer to orchestrate and manage complex data workflows</li><li>Develop solutions leveraging Python, SQL, Snowflake, and cloud-based data technologies</li><li>Mentor and guide other engineers while influencing technical direction and engineering standards</li><li>Evaluate and implement modern data engineering tools, frameworks, and best practices</li><li>Support the growth and scalability of the organization's data ecosystem while ensuring reliable, trusted, and accessible data</li></ul>
2026-10-06T00:00:00Z

Senior Data Engineer

Houston, TX
onsite
Permanent / Full Time
140000 - 160000 USD / Yearly
We are looking for an experienced Senior Data Engineer to help design and enhance scalable data platforms that support critical business operations in Houston, Texas. This role is ideal for someone who enjoys building reliable pipelines, improving data accessibility, and working with modern big data technologies in a service-focused environment. The successful candidate will play a key role in shaping data architecture, enabling analytics, and maintaining high standards for performance, quality, and governance. Responsibilities: • Design, build, and optimize large-scale data pipelines that collect, transform, and deliver data from multiple sources. • Develop robust ETL workflows using Python and Spark to support reporting, analytics, and operational data needs. • Implement and maintain data solutions across distributed processing environments, including Hadoop and Azure Databricks. • Create streaming and batch data integrations using Kafka and related technologies to ensure timely and dependable data movement. • Collaborate with analysts, engineers, and business stakeholders to translate requirements into scalable technical solutions. • Monitor pipeline performance, troubleshoot data issues, and apply improvements that increase reliability and efficiency. • Establish data quality controls, validation processes, and documentation to support governance and long-term maintainability. • Contribute to platform enhancements and technical initiatives, including changes to data infrastructure or internal processing frameworks when needed.
2026-10-01T00:00:00Z

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