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321 results for Data Analyst Work From Home jobs

Healthcare SQL/Python Data Analyst

Sarasota, FL
onsite
Permanent / Full Time
70000 - 90000 USD / Yearly
We are looking for an experienced Healthcare SQL/Python Data Analyst to join our team in Sarasota, Florida. In this role, you will play a critical part in analyzing and integrating healthcare data to support organizational goals. If you have a strong technical background and a passion for leveraging data to improve healthcare solutions, we encourage you to apply. Responsibilities: • Perform in-depth data analysis to identify trends, insights, and opportunities for improvement within healthcare datasets. • Develop and maintain SQL queries and scripts to support data extraction, manipulation, and reporting needs. • Utilize Python for advanced data processing, automation, and analytical tasks. • Integrate and manage data from multiple sources, ensuring accuracy and consistency. • Collaborate with stakeholders to gather requirements and translate them into actionable data solutions. • Design and generate reports using SSRS to present findings to internal teams and leadership. • Work with HL7 standards to facilitate seamless data exchange and interoperability within healthcare systems. • Troubleshoot and resolve issues related to data quality, integration, and system performance. • Contribute to the development of data-driven strategies to enhance operational efficiency and patient care outcomes.
2026-04-01T00:00:00Z

.Net/SQL Healthcare Data Analyst

Sarasota, FL
onsite
Permanent / Full Time
70000 - 90000 USD / Yearly
We are looking for a skilled .Net/SQL Healthcare Data Analyst to join our team in Sarasota, Florida. This role is ideal for someone with a strong background in healthcare analytics and technical expertise in Python scripting, SQL Server, and reporting tools. The successful candidate will play a key role in analyzing data, gathering requirements, and supporting various IT functions. Responsibilities: • Analyze healthcare data to identify trends, insights, and actionable solutions. • Develop and maintain SQL Server databases and ensure their optimal performance. • Create and manage reports using SQL Server Reporting Services (SSRS). • Collaborate with stakeholders to gather and document technical and business requirements. • Write Python scripts to automate data processing and reporting tasks. • Provide IT support across multiple functions, ensuring seamless operations. • Work with HL7 standards to process and integrate healthcare data effectively. • Conduct quality assurance checks to ensure data accuracy and reliability. • Support cross-functional teams with data-driven insights and technical expertise.
2026-04-22T00:00:00Z

Data Ops Specialist

Corvallis, OR
onsite
Temporary / Contract
18.2115 - 21.087 USD / Hourly
We are looking for a detail-oriented Data Ops Specialist in Corvallis, Oregon. This is a Contract position focused on maintaining accurate constituent information, protecting sensitive records, and helping the team manage a backlog created by recent staffing changes. The person in this role will work closely with data operations leadership to improve workflow efficiency, support project coordination, and strengthen overall data quality. Responsibilities:• Maintain and review organizational records to ensure information is complete, accurate, and aligned with established data standards.• Enter, validate, and update constituent data across multiple record types with a strong focus on precision and consistency.• Handle confidential and sensitive information responsibly while following data privacy and security practices.• Build, adjust, and support no-code automation processes that improve the efficiency of recurring data tasks.• Collaborate with data operations leadership to clarify project goals, set priorities, and support workload planning.• Track project progress, deadlines, and deliverables using project management tools to help keep work on schedule.• Communicate with internal stakeholders to gather requirements, address issues, and support timely resolution of data-related concerns.• Identify opportunities to improve database structure, data processes, and system usage to strengthen operational effectiveness.
2026-04-23T00:00:00Z

HRIS Data Analyst

Kingston, RI
onsite
Temporary / Contract
28.5 - 33 USD / Hourly
We are looking for a detail-oriented HRIS Data Analyst to join our team in Kingston, Rhode Island. In this long-term contract role, you will play a vital part in bridging the gap between Human Resources and Information Technology, ensuring that HR systems run efficiently and effectively. This position offers an exciting opportunity to apply your analytical expertise while contributing to data-driven decision-making and system improvements. Responsibilities: • Act as a key liaison between Human Resources and Information Technology teams to address system-related needs and challenges. • Analyze and interpret HR data to provide actionable insights and support strategic decision-making processes. • Perform system configurations, conduct user acceptance testing, and provide technical support to HR and Records teams. • Utilize tools and techniques to identify variances, investigate discrepancies, and ensure the reliability of HR systems. • Maintain the accuracy, integrity, and confidentiality of HR system data and processes. • Collaborate on integration projects and resolve system-related issues effectively. • Generate statistical reports and analytics to inform business strategies and HR initiatives. • Provide guidance and training to HR staff and system users for optimal system utilization. • Ensure compliance with organizational policies and data security standards in all HR system operations.
2026-04-23T00:00:00Z

Digital Marketing Analyst

Grand Rapids, MI
onsite
Temporary / Contract
0 - 0 USD / Yearly
OverviewThe Digital Marketing Analyst is responsible for collecting, analyzing, and interpreting digital marketing data to help drive strategic decisions across campaigns, channels, and customer journeys. This role supports marketing teams with actionable insights, reporting dashboards, testing recommendations, and performance optimization to maximize ROI and improve overall marketing effectiveness. Key Responsibilities<ul><li>Analyze performance data across digital channels including paid search, paid social, email, display, SEO, and website analytics.</li><li>Build and maintain dashboards, weekly/monthly reports, and KPI scorecards using tools such as Google Analytics, Looker, Tableau, Power BI, or similar.</li><li>Partner with channel managers to provide insights that improve CTR, conversion rates, CAC, ROAS, and engagement metrics.</li><li>Conduct deep‑dive analysis on campaigns, audiences, funnels, and attribution paths.</li><li>Support A/B testing and experimentation by forming hypotheses, building test plans, and evaluating results.</li><li>Monitor website traffic patterns, user behavior, and key conversion events to uncover opportunities for optimization.</li><li>Work with marketing operations and CRM teams to ensure data accuracy, segmentation quality, and tracking integrity.</li><li>Assist in forecasting, budgeting, and performance modeling efforts.</li><li>Ensure tracking frameworks, UTM parameters, and tagging structures are accurate and properly implemented.</li><li>Present findings and recommendations to stakeholders in a clear, data‑driven format.</li></ul>
2026-04-22T00:00:00Z

Digital Marketing Analyst

Southfield, MI
onsite
Temporary / Contract
0 - 0 USD / Yearly
OverviewThe Digital Marketing Analyst is responsible for collecting, analyzing, and interpreting digital marketing data to help drive strategic decisions across campaigns, channels, and customer journeys. This role supports marketing teams with actionable insights, reporting dashboards, testing recommendations, and performance optimization to maximize ROI and improve overall marketing effectiveness. Key Responsibilities<ul><li>Analyze performance data across digital channels including paid search, paid social, email, display, SEO, and website analytics.</li><li>Build and maintain dashboards, weekly/monthly reports, and KPI scorecards using tools such as Google Analytics, Looker, Tableau, Power BI, or similar.</li><li>Partner with channel managers to provide insights that improve CTR, conversion rates, CAC, ROAS, and engagement metrics.</li><li>Conduct deep‑dive analysis on campaigns, audiences, funnels, and attribution paths.</li><li>Support A/B testing and experimentation by forming hypotheses, building test plans, and evaluating results.</li><li>Monitor website traffic patterns, user behavior, and key conversion events to uncover opportunities for optimization.</li><li>Work with marketing operations and CRM teams to ensure data accuracy, segmentation quality, and tracking integrity.</li><li>Assist in forecasting, budgeting, and performance modeling efforts.</li><li>Ensure tracking frameworks, UTM parameters, and tagging structures are accurate and properly implemented.</li><li>Present findings and recommendations to stakeholders in a clear, data‑driven format.</li></ul>
2026-04-22T00:00:00Z

Data Automation Engineer

Houston, TX
remote
Temporary / Contract
39 - 44 USD / Hourly
Position OverviewWe are seeking a delivery‑focused Data Automation Engineer to design and implement innovative automation solutions across a Microsoft Azure‑based data analytics platform. This role partners closely with engineering teams and stakeholders to translate business requirements into scalable data engineering and AI‑enabled solutions.The ideal candidate is hands‑on with Azure Data Factory, Synapse Pipelines, Apache Spark, Python, and SQL, and brings experience building reliable ETL pipelines across SQL and NoSQL environments. This role emphasizes performance optimization, automation, and proactive data quality within Agile DevOps delivery models. Key ResponsibilitiesData Engineering & Automation<ul><li>Develop high‑performance data pipelines using Azure Data Factory, Synapse Pipelines, Spark Notebooks, Python, and SQL.</li><li>Design ETL workflows supporting advanced analytics, reporting, and AI/ML use cases.</li><li>Implement data migration, integrity, quality, metadata, and security controls across pipelines.</li><li>Monitor, troubleshoot, and optimize pipelines for availability, scalability, and performance.</li></ul>Performance Testing & Optimization<ul><li>Execute ETL performance testing and validate load performance against benchmarks.</li><li>Analyze pipeline runtime, throughput, latency, and resource utilization.</li><li>Support tuning activities (e.g., query optimization, partitioning, indexing).</li><li>Validate data completeness and consistency after high‑volume processing.</li></ul>Platform Collaboration & DevOps Support<ul><li>Collaborate with DevOps and infrastructure teams to optimize compute, memory, and scaling.</li><li>Maintain versioning and configuration control across environments.</li><li>Support production, testing, development, and integration environments.</li><li>Actively participate in Agile delivery processes including Program Increment planning.</li></ul>
2026-04-20T00:00:00Z

Data Analyst: III (Senior)

Thiensville, WI
onsite
Temporary / Contract
30 - 35 USD / Hourly
We are looking for an experienced Data Analyst to join our team on a long-term contract basis. In this role, you will play a vital part in transforming business requirements into actionable insights by utilizing advanced data analysis and reporting techniques. Based in Mequon, Wisconsin, this position offers an excellent opportunity to design and deliver custom reporting solutions that empower decision-making across the organization. Responsibilities: • Develop and implement reporting solutions using SQL Server Reporting Services (SSRS) and other technologies based on detailed requirement analysis. • Conduct rigorous testing of reports to ensure accuracy, performance, and alignment with business needs. • Deploy reporting solutions to both development and production environments while adhering to best practices. • Create dynamic data visualizations that simplify complex information for decision-makers. • Collaborate proactively with stakeholders to understand their needs and develop tailored reporting solutions. • Ensure compliance with security policies for data and reporting systems. • Design and maintain clear documentation for data points and reporting definitions. • Establish subscriptions and manage user permissions for reports to ensure accessibility. • Validate reports against trusted data sources to maintain consistency and reliability. • Translate business needs into measurable insights using graphs, charts, and actionable data points.
2026-04-20T00:00:00Z

Data Engineer

West Chester, PA
onsite
Permanent / Full Time
125000 - 135000 USD / Yearly
We are looking for a Data Engineer to strengthen our data and analytics capabilities in West Chester, Pennsylvania. This role will shape reliable data architecture, support enterprise reporting, and help turn complex information into practical business insight. The position is ideal for someone who enjoys building scalable data solutions, improving performance, and working across Microsoft-based data technologies. Responsibilities: • Design and support enterprise data solutions that enable dependable analytics, reporting, and operational decision-making. • Build, optimize, and maintain database structures and data processing workflows using SQL Server, Azure SQL Database, and T-SQL. • Develop and enhance SSIS packages and related data pipelines to ensure accurate, timely, and efficient movement of information across systems. • Create scalable datasets and reporting foundations that support Power BI dashboards and broader business intelligence needs. • Monitor data platform performance, troubleshoot issues, and implement improvements that increase stability, security, and efficiency. • Partner with business and technical stakeholders to translate reporting and analytics goals into practical data engineering solutions. • Lead efforts to move legacy SQL Server workloads into Azure-based services while maintaining data integrity and minimizing disruption. • Establish standards and best practices for data quality, documentation, and ongoing platform maintenance.
2026-04-22T00:00:00Z

Data Engineer

Glendale, CA
onsite
Temporary / Contract
82 - 87 USD / Hourly
We are looking for a talented Data Engineer to join our team in Glendale, California. In this long-term contract role, you will be instrumental in designing, developing, and maintaining scalable data pipelines and platforms that support critical business operations. Through collaboration with cross-functional teams, you will contribute to innovative data solutions that enhance decision-making processes and drive operational excellence. Responsibilities: • Develop, maintain, and optimize data pipelines to support the Core Data platform. • Create tools and services to enhance data discovery, governance, and privacy. • Collaborate with product managers, architects, and software engineers to ensure the success of data platforms. • Apply technologies such as Airflow, Spark, Databricks, Delta Lake, and Kubernetes to build advanced data solutions. • Establish and document best practices for pipeline configurations, naming conventions, and operational standards. • Monitor and ensure the accuracy, reliability, and efficiency of datasets to meet service level agreements (SLAs). • Participate in agile and scrum ceremonies to improve collaboration and team processes. • Foster relationships with stakeholders to understand their needs and prioritize platform enhancements. • Maintain detailed documentation to support data governance and quality initiatives.
2026-04-03T00:00:00Z

Data Engineer

Woodland Hills, CA
onsite
Permanent / Full Time
140000 - 175000 USD / Yearly
Data Engineer (Hybrid, Los Angeles)Location: Los Angeles, CaliforniaCompensation: $140,000 - $175,000 per yearWork Environment: Hybrid, with onsite requirementsAre you passionate about crafting highly-scalable and performant data systems? Do you have expertise in Azure Databricks, Spark SQL, and real-time data pipelines? We are searching for a talented and motivated Data Engineer to join our team in Los Angeles. You'll work in a hybrid environment that combines onsite collaboration with the flexibility of remote work.Key Responsibilities:<ul><li>Design, develop, and implement data pipelines and ETL workflows using cutting-edge Azure technologies (e.g., Databricks, Synapse Analytics, Synapse Pipelines).</li><li>Manage and optimize big data processes, ensuring scalability, efficiency, and data accuracy.</li><li>Build and work with real-time data pipelines leveraging technologies such as Kafka, Event Hubs, and Spark Streaming.</li><li>Apply advanced skills in Python and Spark SQL to build data solutions for analytics and machine learning.</li><li>Collaborate with business analysts and stakeholders to implement impactful dashboards using Power BI.</li><li>Architect and support the seamless integration of diverse data sources into a central platform for analytics, reporting, and model serving via ML Flow.</li></ul>
2026-04-03T00:00:00Z

Data Engineer

Westchester, IL
remote
Temporary / Contract
59.375 - 67.86 USD / Hourly
We are looking for a Data Engineer to strengthen and expand an established Microsoft Fabric data environment. This Long-term Contract position is ideal for someone who can turn business data into reliable, well-structured assets that support reporting and decision-making. The role requires a hands-on engineer who can shape data architecture, build scalable pipelines, and communicate clearly with both technical teams and business stakeholders. Responsibilities:• Expand and improve an existing Microsoft Fabric platform to support dependable, scalable analytics solutions.• Create and maintain a layered data architecture across Bronze, Silver, and Gold tiers, with emphasis on delivering trusted and business-ready curated datasets.• Build ingestion and transformation processes for Salesforce data along with information from additional enterprise sources.• Develop data models that improve accuracy, usability, and reporting value by evaluating structure, relationships, and downstream needs.• Support the shift away from older warehouse and spreadsheet-driven reporting practices by introducing more modern data engineering approaches.• Work autonomously to manage priorities while providing regular updates on progress, technical decisions, and potential risks.• Collaborate with business partners to understand reporting goals and translate them into practical data solutions.• Contribute to data processing and integration workflows using technologies such as Python, Spark, ETL frameworks, and related platform tools.
2026-04-22T00:00:00Z

Data Engineer

Tampa, FL
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for a skilled Data Engineer to join our team in Tampa, Florida. This is a Contract to permanent position, offering an excellent opportunity to contribute to innovative business intelligence solutions while advancing your career. The ideal candidate will have a strong background in data engineering, database design, and analytics, with the ability to solve complex problems and deliver high-quality results. Responsibilities: • Design and implement robust business intelligence solutions tailored to meet organizational needs. • Collaborate with stakeholders to gather user requirements and translate them into technical and functional specifications. • Create and maintain databases and data marts that support analytics and reporting activities. • Develop and optimize ETL processes to efficiently load data into data marts. • Monitor and ensure the accuracy, consistency, and quality of data within databases and reporting systems. • Recommend and implement governance practices to improve self-service BI and analytics capabilities. • Develop automated data validation checks to maintain data integrity and accuracy. • Utilize dimensional modeling and star/snowflake schemas to design effective data warehouses. • Troubleshoot and debug issues across application and database layers to ensure smooth operations. • Perform exploratory data analysis to identify trends, anomalies, and areas for improvement.
2026-04-22T00:00:00Z

Data Engineer

Wayne, PA
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for a skilled Data Engineer to join our team in Wayne, Pennsylvania, on a contract to permanent basis. This role offers an exciting opportunity to design, implement, and optimize data pipelines while integrating applications with various digital marketplaces. The ideal candidate will bring strong technical expertise and a collaborative mindset to support business insights and analytics effectively. Responsibilities: • Develop and maintain data pipelines and ensure seamless application connectivity with digital marketplaces such as TikTok Shop, Shopify, and Amazon. • Collaborate closely with business teams to understand requirements and provide actionable analytics. • Lead the creation of scalable and efficient data solutions tailored to business needs. • Apply expertise in Python, Snowflake, and other relevant technologies to deliver high-quality results. • Facilitate and support integrations with e-commerce platforms, leveraging previous experience where applicable. • Build robust APIs and ensure their effective implementation. • Utilize Microsoft SQL for database management and optimization. • Provide technical guidance and mentorship to ensure project success. • Troubleshoot and resolve issues related to data workflows and integrations. • Continuously evaluate and improve processes to enhance efficiency and performance.
2026-04-21T00:00:00Z

Data Engineer

Newtown Square, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an experienced Data Engineer to join our team in Newtown Square, Pennsylvania. In this long-term contract position, you will play a pivotal role in designing and implementing robust data solutions to support organizational goals. This is an exciting opportunity to lead the development of modern data architectures and collaborate with diverse teams to drive impactful results. Responsibilities: • Lead the implementation of an enterprise Snowflake data lake, ensuring timely delivery and optimal performance. • Oversee the integration of multiple data sources, including Oracle Financials, PostgreSQL, and Salesforce, into a unified data platform. • Collaborate with finance teams to facilitate a transition to a 12-month accounting calendar and support accelerated financial close processes. • Develop and maintain multi-source analytics dashboards to enhance operational insights and decision-making. • Manage day-to-day operations of the Snowflake platform, focusing on performance tuning and cost optimization. • Ensure data quality and reliability, providing business users with a trustworthy platform. • Document architectural designs, data workflows, and operational procedures to support sustainable data management. • Coordinate with external vendors to meet project deadlines and ensure successful implementations.
2026-04-06T00:00:00Z

Data Engineer

Boca Raton, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
The Database Engineer will design, develop, and maintain database solutions that meet the needs of our business and clients. You will be responsible for ensuring the performance, availability, and security of our database systems while collaborating with software engineers, data analysts, and IT teams. Key Responsibilities:<ul><li>Design, implement, and maintain highly available and scalable database systems (e.g., SQL, NoSQL).</li><li>Optimize database performance through indexing, query optimization, and capacity planning.</li><li>Create and manage database schemas, tables, stored procedures, and triggers.</li><li>Develop and maintain ETL (Extract, Transform, Load) processes for data integration.</li><li>Ensure data integrity and consistency across distributed systems.</li><li>Monitor database performance and troubleshoot issues to ensure minimal downtime.</li><li>Collaborate with software development teams to design database architectures that align with application requirements.</li><li>Implement data security best practices, including encryption, backups, and access controls.</li><li>Stay updated on emerging database technologies and recommend solutions to enhance efficiency.</li><li>Document database configurations, processes, and best practices for internal knowledge sharing.</li></ul>
2026-04-08T00:00:00Z

Data Engineer

Charlotte, NC
onsite
Temporary / Contract
55 - 65 USD / Hourly
We are currently seeking a Data Engineer for a contract opportunity supporting a growing data and analytics organization. This role is focused on building and maintaining modern cloud-based data infrastructure, including scalable ELT pipelines, Snowflake data solutions, and automated data workflows.This is a hands-on engineering role where you will design, develop, and support end-to-end data systems that enable reliable reporting, analytics, and business decision-making.Key Responsibilities:<ul><li>Design, build, and maintain scalable ELT/ETL data pipelines and workflows</li><li>Develop and optimize Snowflake-based data warehouse solutions</li><li>Build and maintain data models and transformation logic to support analytics and reporting</li><li>Write efficient and high-quality Python and SQL code to support data engineering processes</li><li>Develop reusable data engineering frameworks and backend data services</li><li>Implement and maintain CI/CD pipelines using GitHub and related tooling</li><li>Build automated testing frameworks to ensure data quality and reliability</li><li>Create reporting and visualization solutions using tools such as Power BI</li><li>Monitor production data systems and resolve performance or reliability issues</li><li>Support continuous improvement of data architecture, processes, and standards</li></ul>
2026-04-14T00:00:00Z

Data Engineer

Denton, TX
onsite
Permanent / Full Time
100000 - 120000 USD / Yearly
Our client is looking for an experienced Data Governance Analyst to join their growing team. They need someone who can: Lead the development and implementation of data governance frameworks to support academic, administrative, and research data needs across the university system. Establish data stewardship roles and clarify data ownership for key institutional domains such as student information, financial aid, HR, research compliance, and finance. Create and enforce data policies, standards, and procedures to improve data quality, accuracy, accessibility, and security across campuses and departments. Ensure compliance with higher-ed regulatory and reporting requirements (e.g., FERPA, IPEDS, NCAA, state reporting), and coordinate with Legal, IT Security, and Institutional Compliance teams. Implement and optimize governance technology (data catalog, lineage, and quality tools) to support system-wide reporting, analytics, and decision support. Promote data literacy and provide training to faculty, staff, and administrators to enhance responsible and effective data use. Facilitate collaboration across academic units, administrative offices, and central IT to align governance efforts with institutional priorities and operational needs. Monitor data quality and governance KPIs, report progress to leadership, and drive continuous improvement to support strategic planning, accreditation, and institutional research initiatives. Expereince as a Data Governance analyst. They have a fragmented Data Governance framework in place, and the goal is for this person to unify it across the enterprise. The ideal candidate will be a data Governance Analyst looking for a more challenging opportunity to lead the implementation of Purview and advancing our data governance practices. Administration experience with Microsoft Purview or a similar tool like Collibra, Informatica, Databricks, Etc. This role will be assisting to connect Microsoft Fabric to Purview. Experience with Microsoft Purview is preferred. They have the Data Security layer of Purview implemented. This role will be working with the Microsoft partner implement the Data Governance layer (Unified Data Catalogue, Data Quality, Data Lineage, Data Health management.) See attached overview. Excellent communication skills. Someone who will lead change and help advance their DG practice. Get buy in from stakeholders.
2026-04-21T00:00:00Z

Data Engineer

Houston, TX
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a skilled Data Engineer to join our team on a long-term contract basis in Houston, Texas. In this role, you will design, develop, and maintain data pipelines and systems that support critical business operations within the manufacturing industry. Your expertise in data engineering technologies and frameworks will be key to ensuring efficient data processing and integration. Responsibilities: • Develop, optimize, and maintain scalable data pipelines to process large datasets efficiently. • Implement ETL processes to extract, transform, and load data from various sources into centralized systems. • Leverage Apache Spark, Hadoop, and Kafka to design solutions for real-time and batch data processing. • Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions. • Monitor and troubleshoot data systems to ensure reliability and performance. • Document data workflows and processes to ensure clarity and maintainability. • Conduct testing and validation of data systems to ensure accuracy and quality. • Apply Python programming to automate data tasks and streamline workflows. • Stay updated on industry trends and emerging technologies to propose innovative solutions. • Ensure compliance with data security and privacy standards in all engineering efforts.
2026-04-22T00:00:00Z

Data Engineer

Houston, TX
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for a skilled Data Engineer to join our team in Houston, Texas. In this Contract to permanent position, you will play a key role in designing, developing, and optimizing data solutions while collaborating with cross-functional teams to deliver impactful results. This role offers an excellent opportunity to contribute to innovative projects and mentor other developers. Responsibilities: • Design and implement scalable data solutions using tools such as Apache Spark, Hadoop, and Kafka. • Build and maintain efficient ETL processes to ensure seamless data transformation and integration. • Collaborate with product owners, business analysts, and stakeholders to gather requirements and translate them into technical solutions. • Optimize and troubleshoot complex data workflows to enhance performance and reliability. • Lead technical discussions and provide architectural guidance for best practices and development standards. • Mentor entry level developers and conduct code reviews to ensure high-quality deliverables. • Integrate data solutions with existing systems and third-party tools using APIs and cloud platforms. • Stay updated with the latest data engineering technologies and proactively recommend improvements. • Work within Agile/Scrum teams to deliver solutions aligned with user stories and project goals. • Ensure compliance with security and quality standards through thorough documentation and testing.
2026-04-01T00:00:00Z

Data Engineer

Bellevue, WA
onsite
Temporary / Contract
55 - 65 USD / Hourly
Robert Half Technology is seeking a mid-to-senior level Data Engineer to support the modernization of an existing data environment for a client in Bellevue, Washington. This role will focus on rearchitecting data pipelines into Databricks, improving performance, and establishing scalable data architecture and governance. This is a hands-on role in a fast-paced, less structured environment, ideal for someone who takes ownership and can operate with autonomy. Duration: Long-term contract with potential for extension or conversionLocation: Bellevue, Washington (3-days onsite working hybrid)Schedule: Monday-Friday (9AM-5PM PST) Key Responsibilities<ul><li>Rebuild and optimize existing Python-based ETL pipelines within Databricks </li><li>Design and implement scalable data ingestion and transformation processes </li><li>Architect and maintain data marts and data warehouse structures </li><li>Implement Medallion Architecture (Bronze, Silver, Gold layers) </li><li>Improve performance of data processing workflows (reduce runtimes, optimize queries) </li><li>Support migration and consolidation of data into Databricks </li><li>Document data pipelines, tables, and architecture for governance and maintainability </li><li>Define best practices for data storage, organization, and access </li><li>Ensure alignment with existing compliance and data standards </li></ul>
2026-04-20T00:00:00Z

Data Engineer

Missoula, MT
remote
Temporary to Hire
60 - 65 USD / Hourly
Robert Half is seeking a Data Engineer to design, build, and maintain enterprise data infrastructure and analytics platforms. This role will serve as the technical owner of data architecture, ensuring data quality, governance, and accessibility across the organization.This is a highly visible role supporting leadership and business teams by enabling reliable, data-driven decision-making through scalable data solutions and modern analytics tools. Job Responsibilities<ul><li>Design and implement enterprise data architecture, including data models and integration patterns to establish a single source of truth </li><li>Build and manage analytics platforms to support reporting and business intelligence initiatives </li><li>Develop and maintain high-impact dashboards using Power BI or similar tools for leadership and operational teams </li><li>Design and build automated ETL/ELT pipelines across multiple systems and data sources </li><li>Define and enforce data governance standards, including metric definitions, data quality rules, and access controls </li><li>Monitor and optimize data pipeline performance, including troubleshooting failures and implementing automated error handling </li><li>Investigate and resolve data quality issues (e.g., duplicates, sync failures) and implement proactive monitoring solutions </li><li>Enable self-service analytics by creating user-friendly data models and supporting end users with training and documentation </li><li>Ensure compliance with data security and regulatory requirements, including proper data handling and access controls </li><li>Partner with IT leadership to recommend tools, technologies, and best practices to enhance data capabilities </li></ul>
2026-04-22T00:00:00Z

Data Engineer

West Los Angeles, CA
onsite
Permanent / Full Time
100000 - 150000 USD / Yearly
Mid-Level Data Engineer (On-Site | Los Angeles, CA)Build systems that actually drive business decisions. This is not a “maintain the pipeline and go home” kind of role. We’re looking for a sharp, early-career Data Engineer who wants to operate close to the business, own meaningful projects end-to-end, and build systems that directly impact how decisions get made across an entire organization. You’ll join a small, high-performing team where your work won’t get buried—it will be seen, used, and relied on daily. If you’re someone who enjoys solving messy problems, building from scratch, and working in a fast-paced, high-expectation environment, this is the kind of role where you’ll grow quickly. What You’ll Do<ul><li>Design and build automated data systems (e.g., billing workflows, internal tools)</li><li>Create and maintain BI dashboards and reports using Python, Excel, and visualization tools</li><li>Write and optimize SQL queries and ETL pipelines for clean, reliable data flow</li><li>Analyze large datasets to uncover actionable insights and trends</li><li>Partner with stakeholders across the business to translate needs into technical solutions</li><li>Help improve data accessibility and usability across departments</li><li>Ensure data integrity and accuracy through audits and troubleshooting</li><li>Contribute to a growing data function with high visibility and ownership</li></ul>Why This Role Stands Out<ul><li>High ownership: You’ll build systems from the ground up, not just maintain them</li><li>Small team, big impact: Work directly with senior leadership and decision-makers</li><li>Growth opportunity: The team is expanding—this role can evolve quickly</li><li>Flexibility within intensity: While this is a high-performance environment, there’s trust and flexibility when needed</li></ul>
2026-04-16T00:00:00Z

Data Engineer

Cleveland, OH
onsite
Permanent / Full Time
120000 - 130000 USD / Yearly
We are looking for an experienced Data Engineer to join our team in Cleveland, Ohio. In this role, you will design, implement, and optimize data solutions that support business intelligence and analytics needs. If you have a passion for working with cutting-edge technologies and thrive in a fast-paced environment, this opportunity is for you. Responsibilities:• Develop and refine data models to ensure optimal performance and scalability.• Design and implement data warehouse solutions for managing structured and unstructured data.• Create and maintain data integration processes to support analytics and data-driven applications.• Establish robust data quality and validation protocols to guarantee accuracy and consistency.• Collaborate with business intelligence teams and stakeholders to gather requirements and deliver tailored solutions.• Monitor and address issues within data pipelines, including performance bottlenecks and system errors.• Research and adopt emerging technologies and best practices to enhance data engineering capabilities.
2026-04-07T00:00:00Z

Data Engineer

Grandville, MI
remote
Temporary to Hire
40 - 55 USD / Hourly
We are looking for a skilled Data Engineer to join our team in Wyoming, Michigan. This Contract to permanent role offers an exciting opportunity to design, manage, and optimize data architecture and engineering solutions across a dynamic healthcare organization. The ideal candidate will play a key role in ensuring efficient data governance and infrastructure performance while collaborating with cross-functional teams. Responsibilities: • Develop and maintain robust data architectures and frameworks, including relational and graph databases, to meet business objectives. • Create and manage data pipelines to extract, transform, and load data from various sources into data warehouses. • Ensure data governance policies are implemented and monitored, including retention and backup protocols. • Collaborate with teams across departments to translate business requirements into technical specifications. • Monitor and optimize the performance of data assets, identifying opportunities for improvement. • Design scalable and secure data solutions using cloud-based platforms like AWS and Microsoft Azure. • Implement advanced tools and technologies, such as AI, to enhance data analytics and processing capabilities. • Mentor and support team members by sharing technical expertise and providing guidance. • Establish key performance indicators (KPIs) to measure database performance and drive continuous improvement. • Stay up to date with emerging trends and advancements in data engineering and architecture.
2026-04-22T00:00:00Z

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