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198 results for Big Data Engineer jobs

Data Scientist

Palo Alto, CA
onsite
Temporary / Contract
95 - 100 USD / Hourly
We are looking for a Data Scientist to support AI and machine learning initiatives that advance patient care, research, and operational decision-making in Palo Alto, California. This is a Contract position focused on turning healthcare data into practical, high-impact solutions through model development, validation, and deployment. The role works closely with clinical, research, and operational partners to translate complex problems into scalable analytical approaches while maintaining strong standards for quality, fairness, and performance. Responsibilities: • Create, implement, and support AI- and ML-driven workflows that improve clinical, research, and administrative processes. • Partner with cross-functional stakeholders to define analytical needs and deliver data science solutions aligned with healthcare use cases. • Assess and refine tools, platforms, and methods used to manage model development, deployment, and ongoing lifecycle activities. • Train, test, and validate internally developed or externally sourced machine learning models using hospital data and established quality controls. • Perform bias reviews and model performance checks to help ensure responsible and reliable use of predictive algorithms. • Analyze large-scale healthcare datasets using Python, R, SQL, and cloud-based or distributed computing environments. • Work alongside clinicians and researchers to adapt analytical methods for real-world use in care delivery and related settings.
2026-06-23T00:00:00Z

Data Engineer I

Washington, DC
remote
Temporary / Contract
44 - 47 USD / Hourly
Data Automation Engineer – AI / AWS / AzureWork Arrangement: RemoteClearance Requirement: Ability to obtain Public Trust Position OverviewWe are seeking a highly skilled Data Automation Engineer to design and implement advanced, AI-driven automation solutions across hybrid AWS and Azure environments. This role is focused on building scalable data pipelines, integrating modern cloud services, and leveraging Generative AI technologies to enhance enterprise analytics and operational workflows.The ideal candidate is a hands-on engineer with strong expertise in data engineering, cloud platforms, and automation, combined with the ability to innovate and solve complex technical challenges. This role provides the opportunity to work on mission-critical systems, supporting large-scale data processing, reporting, and AI-enabled applications. Key ResponsibilitiesData Engineering & Pipeline Development<ul><li>Design, build, and maintain scalable data pipelines using AWS services (S3, Glue, Lambda, EMR, DynamoDB)</li><li>Develop and optimize ETL/ELT workflows across hybrid AWS and Azure environments</li><li>Integrate structured, unstructured, and streaming data across enterprise systems</li></ul>AI & Automation Engineering<ul><li>Leverage Generative AI frameworks (AWS Bedrock, Azure OpenAI, LangChain, Hugging Face) to build intelligent automation</li><li>Implement solutions for embeddings, vector generation, and RAG workflows</li><li>Develop AI-driven tools for data quality, anomaly detection, and pipeline optimization</li><li>Build AI-powered copilots for monitoring, troubleshooting, and workflow automation</li></ul>Data Platform Integration & Optimization<ul><li>Engineer real-time and batch ingestion pipelines using Spark, Kafka, and Flume</li><li>Integrate enterprise platforms and CRM data into data pipelines for analytics and reporting</li><li>Optimize SQL performance through stored procedures, indexing, and query tuning</li></ul>Cloud & DevOps Practices<ul><li>Implement CI/CD pipelines using tools such as GitHub, Jenkins, or Azure DevOps</li><li>Develop infrastructure solutions using Infrastructure-as-Code (IaC)</li><li>Ensure cloud security through IAM, RBAC, encryption, and network isolation</li></ul>Collaboration & Delivery<ul><li>Partner with cross-functional teams to gather requirements and deliver solutions</li><li>Support Agile delivery processes and continuous improvement initiatives</li><li>Provide technical troubleshooting and performance optimization across data systems</li></ul>
2026-06-15T00:00:00Z

Data Engineer I

Houston, TX
remote
Temporary / Contract
39 - 44 USD / Hourly
Data Automation Engineer – Azure / AI / Data PlatformsClearance Requirement: ability to obtain Public Trust Position OverviewWe are seeking a highly motivated Data Automation Engineer to design and implement modern, AI‑driven data solutions within a Microsoft Azure-based analytics ecosystem. This role focuses on building scalable pipelines, automating workflows, and integrating advanced analytics and AI capabilities across enterprise data platforms.The ideal candidate brings strong experience in Azure data services, ETL pipeline development, and automation, along with a delivery-focused mindset and the ability to translate complex business requirements into technical solutions. This role supports mission-critical environments and requires eligibility for a Public Trust clearance. Key ResponsibilitiesData Engineering & Pipeline Development<ul><li>Design and implement data pipelines using Azure Data Factory, Synapse, Spark, SQL, and Python</li><li>Build and maintain ETL/ELT workflows across structured and unstructured data sources</li><li>Support data ingestion, transformation, and integration for enterprise analytics platforms</li></ul>Automation & AI Integration<ul><li>Develop automation solutions to improve efficiency, scalability, and reliability of data workflows</li><li>Research and implement AI/ML and Generative AI tools to enhance data processing and insights</li><li>Eliminate bottlenecks through intelligent automation and workflow optimization</li></ul>Data Quality, Governance & Performance<ul><li>Implement data quality, integrity, and metadata management practices</li><li>Monitor and troubleshoot pipelines to ensure high availability and performance</li><li>Perform performance testing, tuning (query optimization, indexing), and pipeline benchmarking</li></ul>Collaboration & Delivery<ul><li>Partner with engineering, DevOps, and business stakeholders to develop solutions</li><li>Participate in Agile/DevOps processes and continuous delivery cycles</li><li>Document pipeline performance, test results, and system improvements</li></ul>
2026-06-15T00:00:00Z

Database Engineer

Irvine, CA
onsite
Permanent / Full Time
130000 - 150000 USD / Yearly
We are looking for a Database Engineer to support the performance, stability, and scalability of a modern data platform in Irvine, California. This role focuses on building dependable data pipelines, improving platform operations, and ensuring data assets remain governed, accessible, and cost-efficient in a production environment. The ideal candidate brings strong hands-on experience with Databricks, Spark, Python, SQL, and SQL Server, along with the ability to troubleshoot issues across orchestration, storage, and source system connectivity. Responsibilities: • Oversee daily health and uptime of Databricks pipelines, job schedules, compute resources, Delta Lake datasets, and warehouse environments to maintain consistent platform performance. • Design, build, and refine Spark-based data processing workflows in Databricks notebooks across bronze, silver, and gold layers, including incremental ingestion patterns using Auto Loader and streaming frameworks when needed. • Support and enhance workflow orchestration through Databricks Workflows and Apache Airflow, with attention to data delivery timelines, reliability targets, and operational continuity. • Administer data governance controls in Unity Catalog by managing schemas, permissions, lineage visibility, and catalog structures within a regulated environment. • Maintain and optimize Microsoft SQL Server databases used as source and downstream data stores, improving query execution, indexing strategy, schema organization, and overall system efficiency. • Track compute utilization and platform spend by implementing monitoring, alerting, and resource tuning practices that improve predictability and cost control. • Investigate and resolve end-to-end production issues involving failed jobs, data validation concerns, evolving schemas, and connectivity or authentication problems with upstream systems. • Contribute to shared operational ownership by creating documentation, runbooks, and support procedures that strengthen team coverage and reduce dependency on any one individual. • Produce clear technical documentation for pipeline design, platform operations, and maintenance practices to support long-term scalability and team collaboration.
2026-06-10T00:00:00Z

Senior Data Engineer

Greenwich, CT
onsite
Permanent / Full Time
140000 - 160000 USD / Yearly
We are looking for an experienced Senior Data Engineer to strengthen our data ecosystem in Greenwich, Connecticut. This role will drive the development of reliable, scalable data pipelines, reporting capabilities, and platform enhancements that support critical business operations. The ideal candidate brings deep expertise in Microsoft-based data environments, strong SQL and ETL skills, and a practical approach to solving complex integration challenges. Responsibilities: • Build, enhance, and tune data pipelines, integration workflows, and core data platforms to support scalable and dependable information delivery. • Translate business needs into technical solutions by partnering with internal teams and external vendors on data integration, reporting, and analytics initiatives. • Create and implement automated processes that reduce manual effort, improve accuracy, and increase operational efficiency across data-related functions. • Oversee production data jobs, investigate failures, resolve high-priority issues, and participate in after-hours support when needed. • Produce technical design documents, process specifications, and operational documentation to promote consistency, maintainability, and knowledge sharing. • Develop and deploy reporting and dashboard solutions that improve visibility into business performance while maintaining appropriate access controls and data security. • Lead the ongoing improvement of database and integration performance, with attention to scalability, reliability, and long-term platform stability. • Contribute to cloud-oriented data engineering efforts, including support for modernization initiatives involving services such as Azure-based platforms. • Support application and data connectivity by implementing and maintaining API-based integrations where required.
2026-05-27T00:00:00Z

Senior Data Engineer

Boston, MA
remote
Permanent / Full Time
130000 - 160000 USD / Yearly
We are looking for a Senior Data Engineer to join a growing data team supporting an innovative healthcare-focused program in Boston, Massachusetts. In this role, you will design and optimize data solutions that transform complex patient, medical, financial, and marketing information into reliable assets for analytics and leadership reporting. This position offers the opportunity to work remotely while partnering closely with technical and business stakeholders to build scalable data pipelines in a modern Azure environment. Responsibilities: • Design, build, and maintain robust data pipelines that ingest, transform, and organize information from multiple sources for downstream analytics use. • Develop scalable data engineering solutions using Databricks, Azure Data Factory, SQL, and Python within a cloud-based architecture. • Integrate and prepare diverse datasets, including patient-related, clinical, financial, and marketing data, to support reporting and business insights. • Collaborate with business intelligence partners to deliver clean, dependable datasets that power dashboards, reporting, and decision-making for leadership teams. • Write efficient SQL and transformation logic to solve complex data challenges and improve the performance and reliability of existing workflows. • Partner with architects and cross-functional stakeholders to define data models, engineering standards, and best practices across the platform. • Monitor pipeline health, troubleshoot data issues, and implement improvements that strengthen data quality, accuracy, and operational stability. • Contribute as a senior member of a small engineering team by sharing technical guidance, communicating clearly, and supporting long-term platform growth.
2026-06-03T00:00:00Z

Workday Data Engineer

New York, NY
onsite
Temporary to Hire
65 - 135 USD / Hourly
Job Responsibilities Design, build, and maintain scalable ERP data pipelines for platforms such as Workday and enterprise systems Own end‑to‑end lifecycle of ERP data pipelines (ingestion → transformation → delivery) Support data conversion and migration initiatives (e.g., M&A, system integrations) Ensure pipeline reliability, recoverability, and stable production operations Troubleshoot pipeline failures and resolve root causes of data defects and operational issues Partner with business analysts and stakeholders to translate requirements into data solutions Implement and enforce SDLC best practices (version control, code reviews, CI/CD, release management) Develop and maintain data quality controls (freshness, completeness, anomaly detection, schema management) Detect and manage schema drift and downstream data issues proactively Build and maintain monitoring, alerting, and observability for data pipelines Optimize performance, scalability, and cost of data workloads Track operational KPIs (e.g., pipeline success rates, SLAs, incident trends, recovery times) Create runbooks, documentation, and audit‑ready operational processes Collaborate with data governance, security, and compliance teams on controls and data access Support analytics, reporting, and integration teams with reliable, well‑governed datasets Communicate effectively with technical and non‑technical stakeholders and escalate risks early
2026-06-19T00:00:00Z

Enterprise Data Analytics Engineer

Boston, MA
remote
Permanent / Full Time
90000 - 110000 USD / Yearly
We are looking for a Data Analytics Engineer to help strengthen and scale analytics capabilities supporting participant and healthcare-related data initiatives in Boston, Massachusetts. This role is ideal for an early-career data specialist who enjoys building reliable datasets, improving reporting foundations, and partnering with analysts and business teams to turn complex information into actionable insight. You will work in a modern cloud data environment and contribute to data products that support performance measurement, operational visibility, and informed decision-making. Responsibilities:• Build and support data pipelines, curated datasets, and analytics-ready data structures used for reporting and performance tracking.• Clean, join, and reshape data from multiple sources to produce dependable outputs for dashboards, KPI measurement, and deeper analysis.• Partner with analysts, engineers, and business stakeholders to translate reporting needs into practical data models and scalable solutions.• Investigate pipeline failures and data inconsistencies, then implement fixes that improve reliability, accuracy, and timeliness.• Maintain clear documentation for data definitions, model logic, source mapping, and lineage to improve transparency across the analytics function.• Create recurring and on-demand analyses that help teams monitor trends, evaluate outcomes, and support current business priorities.• Contribute to the upkeep and optimization of analytics workflows within tools such as Databricks, Microsoft Fabric, and related cloud platforms.• Provide data support to operational teams and assist with information requests tied to cross-functional initiatives or external-facing needs.
2026-06-03T00:00:00Z

Senior Data Analytics Engineer

Herndon, VA
onsite
Permanent / Full Time
140000 - 150000 USD / Yearly
We are looking for a Senior Data Analytics Engineer to help shape and scale modern data capabilities for a real estate and property organization in Reston, Virginia. This role focuses on designing reliable data pipelines, structuring analytical datasets, and enabling high-quality reporting and advanced insights across the business. The ideal candidate brings strong engineering depth, practical analytics expertise, and the ability to turn business needs into well-architected data solutions. Responsibilities: • Design, build, and maintain scalable data pipelines that ingest, transform, and deliver trusted datasets for analytics and operational use. • Develop curated data layers using medallion-style architecture to improve data quality, accessibility, and consistency across the platform. • Create and optimize dimensional models, including fact and dimension structures, to support reporting, trend analysis, and business intelligence needs. • Use Python, PySpark, SparkSQL, and notebook-based development environments to engineer efficient data processing workflows. • Partner with business and technical stakeholders to gather requirements and translate them into practical data products and analytics solutions. • Apply data governance, security, and enterprise data management standards to protect information and support compliant data usage. • Contribute to collaborative development practices through version control, code review, and shared engineering standards using Git. • Support advanced analytics initiatives by preparing data foundations that can be used for machine learning and AI-driven use cases.
2026-06-02T00:00:00Z

Data Architect

Darien, IL
remote
Temporary / Contract
63.3365 - 73.337 USD / Hourly
We are looking for a Data Architect to support manufacturing data initiatives for a contract position based in Illinois. This role will focus on designing scalable data architecture, shaping reliable data models, and enabling integration across operational and enterprise systems. The ideal candidate brings strong experience in structured data environments, governance practices, and modern data engineering tools to help build dependable, business-ready information assets. Responsibilities: • Design and maintain data architecture frameworks that support manufacturing operations, analytics, and enterprise reporting needs. • Create and refine relational and manufacturing-focused data models to improve consistency, usability, and long-term scalability. • Lead integration planning across business systems, operational technology platforms, and connected data environments. • Establish governance standards for data quality, structure, ownership, and lifecycle management across critical datasets. • Define and manage version-controlled master data practices to strengthen traceability and accuracy. • Build and optimize data pipelines using technologies such as Python, Apache Spark, Apache Kafka, Hadoop, ETL processes, and SQL Server. • Partner with technical and business stakeholders to translate operational requirements into practical architectural solutions. • Support connectivity with manufacturing execution, historian, and recipe management platforms where applicable. • Contribute to integration activities involving industrial tools such as iFix, WinCC, FactoryTalk, and PI Historian when required.
2026-06-23T00:00:00Z

Data Architect

Needham, MA
onsite
Permanent / Full Time
140000 - 160000 USD / Yearly
We are looking for an experienced Data Architect to design and enhance modern data solutions for a banking environment in Needham, Massachusetts. This role focuses on building scalable cloud-based data architecture, improving data movement and transformation processes, and enabling reliable access to business-critical information. The ideal candidate brings strong expertise in Azure, Snowflake, Python, and Spark, along with a practical approach to data modeling, integration, and performance optimization. Responsibilities: • Design and maintain enterprise data architecture that supports secure, scalable, and efficient data operations across banking platforms. • Build and optimize ETL pipelines to ingest, transform, and deliver data from multiple sources into cloud-based analytical environments. • Develop robust data solutions using Azure services, Snowflake, Python, and Apache Spark to meet business and reporting needs. • Create data models and architectural standards that improve consistency, accessibility, and long-term maintainability of data assets. • Partner with engineering, analytics, and business teams to translate data requirements into reliable technical solutions. • Monitor data platform performance and implement improvements that strengthen processing speed, quality, and system reliability. • Establish best practices for data governance, documentation, and architecture design to support regulatory and operational expectations. • Troubleshoot complex data issues and provide technical guidance on integration, transformation, and storage strategies.
2026-06-03T00:00:00Z

Power BI Data Engineer

Niceville, FL
onsite
Permanent / Full Time
90000 - 120000 USD / Yearly
We are looking for an experienced Power BI Business Intelligence Engineer to join our team in Niceville, Florida. In this role, you will play a vital part in managing and enhancing our reporting and business intelligence platforms to provide actionable insights. Your expertise will drive data analysis, dashboard creation, and the development of solutions that support key business decisions. Responsibilities: • Oversee the company's reporting and business intelligence systems to ensure optimal performance and accuracy. • Develop a deep understanding of the organization's business models, operations, and decision-making processes. • Analyze data architecture and gather requirements from stakeholders to create tailored solutions. • Build and manage data sources, models, and integrations for reporting and analytics purposes. • Design and maintain dashboards and reports using enterprise business intelligence tools. • Facilitate seamless data integration processes to retrieve, transform, and analyze datasets. • Support leadership in creating management information and KPIs to drive data-driven decision-making. • Ensure data quality and integrity across all business intelligence deliverables. • Stay updated with the latest advancements in BI technologies, tools, and practices to recommend improvements. • Document systems and processes comprehensively while adhering to governance, security, and privacy standards.
2026-06-17T00:00:00Z

Data Engineer III

San Ramon, CA
remote
Permanent / Full Time
104000 - 153000 USD / Yearly
Robert Half, one of FORTUNE’s World’s Most Admired Companies and a Fortune 100 Best Companies to Work For is hiring for a Data Engineer III to join the ATI Data Science Innovation department. Solution Design & Technical Leadership<ul><li>Lead architecture and design of complex data pipelines on Databricks lakehouse architecture (Unity Catalog, Delta Lake, Structured Streaming)</li><li>Define technical approach for data engineering initiatives, mentor less-senior engineers, and set standards for code quality through leadership and code reviews</li><li>Design and build data foundations that enable AI/ML capabilities — feature stores, embedding pipelines, vector search indexes, and model training datasets</li><li>Align data engineering solutions with business strategy, including support for Agentic AI workloads</li></ul>Data Infrastructure & Platform<ul><li>Own health, scalability, and modernization of data infrastructure with Databricks as the strategic platform — including workload migration, compute optimization, and Unity Catalog adoption</li><li>Optimize pipeline performance (Delta Lake table layouts, clustering, Z-ordering) and establish monitoring/alerting best practices with clear SLAs</li><li>Build data infrastructure supporting Agentic AI systems — real-time data access layers, context retrieval pipelines, and agent-accessible data services</li><li>Collaborate cross-functionally with DevOps, Platform Engineering, and MLOps roles to integrate data solutions into the broader technology environment and shared AI infratstructure – Mlflow registries, feature stores, and agent orchestration layers</li><li>Provide consultation to Senior Leadership on complex projects and drive continuous improvement initiatives</li></ul>Data Quality, Governance & Collaboration<ul><li>Champion data governance at all layers for data, models, and AI assets</li><li>Implement data quality strategies (master data management, validation rules, Delta Live Tables expectations) to ensure trust in enterprise data</li><li>Serve as liaison across data engineering, AI engineering, and business teams; promote data literacy and stewardship</li></ul>
2026-06-11T00:00:00Z

Senior Data Scientist

Boston, MA
remote
Permanent / Full Time
150000 - 160000 USD / Yearly
We are looking for an experienced Senior Data Scientist to join our dynamic team in Boston, Massachusetts. In this role, you will leverage your expertise in statistical modeling, machine learning, and cloud-based analytics to drive impactful decisions and solutions. The ideal candidate will bring a strong technical background, a passion for working with regulated data, and a commitment to ethical AI practices. Responsibilities: • Develop and implement advanced statistical models and machine learning algorithms to solve complex business problems. • Monitor and evaluate the performance of AI models, ensuring reliability, fairness, and compliance with ethical standards. • Collaborate with engineering and product teams to translate data-driven insights into actionable strategies. • Utilize cloud-based tools such as AWS SageMaker and Redshift to design and deploy scalable analytics solutions. • Handle sensitive healthcare or clinical trial datasets while adhering to strict data privacy and security regulations. • Conduct exploratory data analysis and create visualizations to communicate findings effectively. • Build and optimize ETL pipelines for efficient data transformation and integration. • Apply Bayesian statistics and time-series forecasting techniques to improve predictive accuracy. • Maintain comprehensive documentation of data science workflows and processes. • Stay updated on industry trends and advancements to continuously enhance methodologies and tools.
2026-06-09T00:00:00Z

Software Engineer / Data Engineer

New York, NY
onsite
Permanent / Full Time
200000 - 225000 USD / Yearly
We are looking for a Software Engineer / Data Engineer to build and enhance internal platforms that support research, analytics, and investment workflows in New York, New York. This role combines product-minded software development with data engineering, giving you the opportunity to create scalable applications, shape technical architecture, and improve how teams access and use information. You will work closely with analysts and data specialists to turn complex needs into reliable tools that streamline decision-making and expand internal AI capabilities. Responsibilities: • Create and support internal applications, including dashboards, research platforms, and workflow solutions that improve day-to-day productivity across the firm. • Develop and maintain AI-enabled internal systems such as application services, knowledge retrieval capabilities, agent-based tools, and monitoring frameworks for performance and quality. • Collaborate with investment professionals and data science teams to convert research processes into stable, user-focused software products. • Define technical direction for new systems, selecting appropriate architecture and establishing engineering standards that can scale with future development. • Build backend services and data pipelines using Python, PySpark, and Databricks to support analytics, automation, and application functionality. • Contribute to frontend experiences for internal users with modern web technologies such as Next.js, React, and interactive visualization tools. • Design solutions that connect APIs, user interfaces, data storage, and cloud infrastructure into cohesive, maintainable platforms.
2026-06-16T00:00:00Z

Security Data Engineer

Costa Mesa, CA
remote
Temporary to Hire
60 - 65 USD / Hourly
We are looking for a Security Data Engineer to join our team in Costa Mesa, California in a contract capacity with the potential for a permanent role. This position is focused on advancing a well-established data lake environment by strengthening the ingestion layer, expanding connectivity to additional systems, and ensuring reliable movement of security-relevant data. The person in this role will take ownership of pipeline operations, partner with internal system stakeholders to enable access, and help keep incoming data accurate, timely, and usable for downstream needs. Responsibilities: • Take ownership of the data ingestion layer for an existing data lake, ensuring steady performance and dependable delivery of incoming datasets. • Reduce a defined backlog of pipeline work during the first 90 days by building and activating prioritized ingestion workflows. • Assume responsibility for pipeline components transitioned from the lead engineer and continue their operational support without disrupting established foundations. • Support and improve current ETL processes by monitoring health, resolving failures, and extending coverage where needed. • Integrate new source systems, including platforms such as Rippling and Workday, into the broader data ecosystem. • Coordinate with internal application and system owners to identify data sources, secure appropriate access, and obtain logs or source records required for ingestion. • Apply data cleaning and analysis practices to improve data quality and maintain consistency across inbound datasets. • Contribute to infrastructure and deployment workflows using AWS, AWS CDK, Infrastructure as Code, and CI/CD practices to support scalable pipeline operations.
2026-06-22T00:00:00Z

Data Warehouse Analyst

Princeton, NJ
onsite
Permanent / Full Time
70000 - 80000 USD / Yearly
We are looking for a skilled Data Warehouse Analyst to join our team in New Jersey. In this role, you will transform logistics challenges into actionable insights through advanced data analysis and reporting. By collaborating with cross-functional teams, you will play a pivotal role in enhancing operational efficiency and driving key business decisions. Responsibilities:• Collaborate with Operations, Transportation, and Finance teams to establish and refine KPIs that drive logistics and fulfillment performance.• Develop and optimize labor planning and forecasting models for warehouse and delivery operations, partnering closely with recruitment teams.• Analyze distribution and fulfillment data to uncover performance trends and identify cost-saving opportunities.• Design and maintain dashboards and reports to provide real-time insights into logistics metrics, including delivery times, warehouse productivity, and route optimization.• Automate reporting processes to improve accuracy and timeliness of operational data.• Continuously enhance data integrity and streamline workflows to optimize logistics operations.• Work on data modeling and warehousing projects to support scalable analytics and reporting solutions.• Partner with stakeholders to deliver clear and actionable insights to improve decision-making processes.• Investigate and implement tools and techniques to improve overall business intelligence capabilities.
2026-06-09T00:00:00Z

Data Analyst

Enon, OH
onsite
Temporary / Contract
19.24 - 22.54 USD / Hourly
Robert Half is looking for a Data Analyst to support a well-respected and thriving company! The Data Analyst will be supporting the Marketing Department on a multi-faceted, stimulating project. Are you a new graduate looking to start your career, or an accomplished Data Analyst looking to expand your talents? Apply today! Working Monday-Friday, 8am-5pm in Enon, Ohio the Data Analyst will be ensuring accurate item pricing all the way to store level. This is a long-term contract opportunity with a fantastic growing company and could go contract to permanent based on performance. Responsibilities- Coordinating information between company and vendors to ensure proper pricing for merchandise- Researching and analyzing new products, product pricing, pricing exceptions, and ensuring appropriate classifications- Identifying pricing implementation issues, recommending solutions, and communicating the course of action within the organization- Heavy data entry of pricing information- Interacting with vendors to obtain appropriate information If you are interested, call 937.224.8326 today!
2026-06-19T00:00:00Z

Data Analyst

Knoxville, TN
onsite
Temporary / Contract
35.625 - 45 USD / Hourly
Robert Half is hiring for an Implementation Manager – HRIS / Workforce Management during a 6 month contract, working in two different Knox County locations. Our client is seeking an experienced Implementation Manager to lead a Workforce Management system transition from Infor WFM to Workday. This role will oversee the implementation effort, coordinate across business, IT, and external partners, and provide leadership to analysts supporting the project.Prior experience with both Infor WFM and Workday is required.Key Responsibilities<ul><li>Lead and support a team of WFM/HRIS analysts</li><li>Act as the main point of contact between stakeholders, IT, and implementation partners</li><li>Oversee project milestones, testing, deployment, and post-go-live support</li><li>Support requirements gathering, design validation, configuration, and data migration planning</li><li>Translate business needs into functional and technical requirements</li><li>Troubleshoot system issues and guide resolution efforts</li></ul>Required Qualifications<ul><li>Hands-on experience with Infor WFM and Workday</li><li>Experience leading HRIS or WFM implementations or system migrations</li><li>Strong techno-functional knowledge of workforce management processes, including timekeeping, scheduling, and labor management</li><li>Prior team leadership experience</li><li>Strong communication and stakeholder management skills</li></ul>Preferred Qualifications<ul><li>Experience with Infor-to-Workday migrations</li><li>Knowledge of integrations, APIs, and data migration</li><li>Experience in multi-location or complex workforce environments</li><li>Familiarity with labor compliance and workforce optimization</li></ul>FOR IMMEDICATE CONSIDERATION PLEASE CONTACT: Kelly Fellows 865-370-2219
2026-06-16T00:00:00Z

Data Analyst

Philadelphia, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Analyst to support data-driven decision-making for healthcare operations in Philadelphia, Pennsylvania. This is a Contract position focused on transforming complex clinical and operational data into accurate, actionable insights across EHR and billing environments. The ideal candidate will work with modern cloud and database tools to improve reporting, data integrity, and integration processes in a healthcare setting. Responsibilities: • Analyze healthcare, operational, and billing data to identify trends, exceptions, and opportunities for process improvement. • Build, maintain, and optimize ETL workflows that move data across source systems, databases, and analytics platforms. • Use Azure Databricks, Databricks, and SQL-based tools to prepare datasets and support scalable reporting solutions. • Validate data accuracy and completeness by performing audits, reconciliation activities, and ongoing quality checks. • Integrate information from EHR and EMR platforms, including Epic-related systems, to support consistent downstream reporting. • Partner with business and technical stakeholders to define reporting needs and translate them into practical data solutions. • Create and maintain queries, datasets, and analytical outputs using Azure SQL Database, SSMS, and related technologies. • Support data processing activities across cloud environments, including AWS technologies, while following healthcare data standards. • Document data logic, transformation rules, and process steps to improve transparency and maintainability of analytics workflows.
2026-06-11T00:00:00Z

Data Analyst

Miami, FL
onsite
Temporary / Contract
26 - 34 USD / Hourly
Our company is seeking a motivated Data Analyst with expertise in SQL to join our growing team. In this role, you will leverage your analytical skills to turn data into actionable insights, helping our organization make data-driven decisions. You will work closely with stakeholders across departments to define analysis needs, prepare and interpret datasets, and deliver meaningful reports and visualizations.Key Responsibilities:<ul><li>Extract, clean, and analyze large datasets using SQL.</li><li>Develop, optimize, and maintain SQL queries, scripts, and procedures for data extraction and reporting.</li><li>Produce insightful analysis, dashboards, and reports for cross-functional teams to support key business initiatives.</li><li>Work closely with business partners to understand requirements and translate them into analytical solutions.</li><li>Identify opportunities to improve data quality, processes, and reporting efficiency.</li><li>Present findings and recommendations to stakeholders in a clear and concise manner.</li><li>Stay current on best practices and recent advancements in data analytics and reporting tools</li></ul>
2026-06-18T00:00:00Z

Data Analyst

Stowe, VT
onsite
Permanent / Full Time
60000 - 95000 USD / Yearly
Healthcare Data Analyst We’re seeking a Data Analyst to join a healthcare company and help drive improved patient outcomes through data-driven insights. In this role, you will analyze clinical and operational data to identify trends, support quality improvement initiatives, and enhance overall care delivery. Key Responsibilities:<ul><li>Develop and maintain reports and interactive dashboards </li><li>Analyze patient, quality, and operational data to identify opportunities for improvements</li></ul>Qualifications:<ul><li>Experience working with healthcare data in a hospital or clinical environment</li><li>Strong skills in reporting and dashboard tools (e.g., Power BI, Tableau, or similar)</li><li>Proficiency in SQL and/or Excel for data analysis</li><li>Ability to communicate findings clearly to both technical and non-technical audiences</li></ul>
2026-06-18T00:00:00Z

Data Analyst

Longmeadow, MA
onsite
Temporary / Contract
30 - 38.5 USD / Hourly
We are looking for a detail-oriented Data Analyst to support fraud detection and investigative efforts for a long-term contract opportunity in Springfield, Massachusetts. This role focuses on analyzing patterns, identifying suspicious activity, and translating data into actionable insights that strengthen anti-fraud strategies. The ideal candidate brings strong analytical thinking, experience working with fraud-related data, and the ability to communicate findings clearly to business partners. Responsibilities:• Examine large and complex datasets to uncover unusual patterns, anomalies, and indicators of potentially fraudulent activity.• Produce reports, dashboards, and analytical summaries that help stakeholders monitor fraud trends and make informed decisions.• Partner with investigation and business teams to interpret findings and support timely follow-up on high-risk cases.• Apply analytical techniques to assess transaction behavior, detect emerging risks, and improve fraud monitoring outcomes.• Validate data accuracy and maintain consistent reporting standards to ensure reliable analysis.• Translate analytical results into clear recommendations that support anti-fraud initiatives and operational improvements.
2026-06-19T00:00:00Z

Data Analyst

Nashville, TN
onsite
Temporary / Contract
42 - 48 USD / Hourly
Robert Half is seeking a Contract Data Analyst to join our client's team. As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to provide actionable insights that support business decisions. This contract position offers an exciting opportunity to work with a dynamic team and help drive data-driven strategies for a respected organization. Key Responsibilities:<ol><li>Data Collection and Analysis: Collect, clean, and analyze data from various sources to identify trends, patterns, and insights that inform business decisions.</li><li>Reporting: Create and maintain dashboards, reports, and visualizations that communicate findings to stakeholders in a clear and concise manner.</li><li>Data Validation: Ensure data integrity by conducting regular audits, validation, and quality checks.</li><li>Collaboration: Work closely with cross-functional teams to understand data requirements and provide insights that support strategic goals.</li><li>Data Modeling: Develop and maintain data models, forecasts, and simulations to support business planning and operations.</li><li>Trend Analysis: Monitor key performance indicators (KPIs) and analyze data trends to identify opportunities for improvement.</li><li>Documentation: Document data processes, methodologies, and findings to ensure transparency and reproducibility of results.</li><li>Ad Hoc Analysis: Provide ad hoc analysis and reporting support as needed to assist in decision-making processes.</li></ol>
2026-06-23T00:00:00Z

Data Analyst

New Orleans, LA
onsite
Temporary to Hire
26 - 28 USD / Hourly
We are looking for a detail-oriented Data Analyst to join a Financial Services team in New Orleans, Louisiana on a contract basis with the potential for a permanent position. This role focuses on reviewing data tied to potential fraud activity, identifying irregularities in invoices and transactions, and turning findings into clear recommendations for business partners. The ideal candidate is comfortable working with large data sets, performing research, and using analytical tools to support fraud detection and investigation efforts. Responsibilities: • Analyze transaction and invoice data to detect unusual patterns, inconsistencies, and indicators of potentially fraudulent activity. • Investigate flagged records by conducting research, validating supporting details, and documenting findings in a clear and organized manner. • Use Microsoft Excel and related analytical methods to sort, reconcile, and interpret large volumes of financial information. • Partner with internal stakeholders to communicate trends, summarize risks, and support decisions related to fraud prevention and resolution. • Review invoice discrepancies and related exceptions to determine root causes and recommend next steps. • Maintain accurate reporting on case activity, analytical results, and emerging fraud patterns for ongoing monitoring. • Support anti-fraud initiatives by refining data review processes and improving the quality of investigative insights.
2026-06-19T00:00:00Z

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