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281 results for Data Analytics jobs

Data Scientist

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

Data Scientist

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.
2026-07-20T00:00:00Z

Data Scientist

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

Data Reporting Analyst

Cleveland, OH
onsite
Temporary / Contract
28.5 - 33 USD / Hourly
We are looking for a Data Reporting Analyst to support critical HR-related data, reporting, and system operations for an organization based in Cleveland, Ohio. This Long-term Contract position offers the opportunity to work in a hybrid environment while helping maintain reliable data processes, reporting accuracy, and day-to-day system performance across multiple functional areas. The role is well suited for someone who combines strong analytical ability with hands-on experience in enterprise HR systems and can contribute to both operational support and process improvement. Responsibilities: • Oversee daily support activities for HR, payroll, benefits, student employment, and related data systems to help ensure consistent operations. • Investigate and resolve system and data issues across enterprise platforms, partnering with technical teams and business stakeholders as needed. • Coordinate testing efforts for updates, patches, and system enhancements to confirm functionality, accuracy, and compliance. • Administer user access, approval structures, and organizational security settings that affect HR and payroll processes. • Perform data validation, cleanup, reconciliation, and documentation activities to support accuracy across PeopleSoft, Workday, and connected systems. • Develop recurring and on-demand reports, including compliance-focused reporting and responses to formal data requests. • Analyze workflows, reporting structures, and system controls to identify opportunities for stronger efficiency and data quality. • Support activities related to system transition efforts by helping maintain clean data, reliable reporting, and documented processes across platforms.
2026-07-21T00:00:00Z

Data Analysis Manager

Washington, DC
onsite
Permanent / Full Time
80000 - 100000 USD / Yearly
We are looking for an Data Analysis Manager to support a economic consulting team with data-driven research and client-focused analysis in Washington, District of Columbia. This position is ideal for an early-career candidate with strong quantitative skills who enjoys working with large public datasets and translating findings into clear, useful insights. The role offers the opportunity to contribute to reports, presentations, and policy-related research in a collaborative environment with economists and consulting staff. Responsibilities:• Gather information from publicly available databases, prepare datasets for use, and perform detailed quantitative analysis to support consulting engagements.• Develop accurate and timely materials for clients, ensuring project updates and final outputs are delivered in a clear and effective manner.• Interpret data trends and economic findings to help inform client decisions related to policy matters and market developments.• Produce written content such as research summaries, reports, thought leadership pieces, and other analytical documents.• Communicate project progress and findings to clients through calls, virtual presentations, and in-person discussions when needed.• Partner with senior economists and other team members on research tasks, data requests, and day-to-day project coordination.• Create charts, tables, and presentation materials that communicate complex information in an accessible format using Excel and PowerPoint. All interested candidates in the Data Analysis Manager opportunity and other full time opportunities in the Washington, D.C. area please send your resume to Justin Decker via LinkedIn
2026-07-08T00:00:00Z

Business Analyst ( Data Analyst)

Pasadena, CA
onsite
Permanent / Full Time
85000 - 125000 USD / Yearly
We are looking for a detail-oriented Business Analyst to support data-driven decision-making for an agriculture-focused organization in Pasadena, California. This role centers on transforming complex business data into clear reporting, actionable insights, and scalable dashboards that improve operational visibility. The ideal candidate is comfortable working hands-on with large datasets, balancing recurring reporting needs with longer-term analytical initiatives, and identifying opportunities to streamline manual reporting through Power BI and advanced Excel solutions. Responsibilities: • Build, maintain, and enhance dashboards and recurring reports in Power BI to provide timely, accurate business insights. • Convert manually prepared Excel-based reporting into automated, refreshable visualizations and analytics solutions. • Analyze large and complex datasets to identify trends, business drivers, and opportunities for improved performance. • Partner with stakeholders to gather reporting needs, clarify business questions, and translate them into practical analytical outputs. • Use advanced Excel capabilities, including pivot tables, Power Query, and macros, to support reporting, validation, and ad hoc analysis. • Manage both day-to-day analytical support requests and longer-range projects with shifting priorities and deadlines. • Apply structured problem-solving and critical thinking to resolve data issues and improve reporting quality. • Review business processes and reporting gaps to recommend more efficient and scalable analytical approaches. • Support mapping or location-based analysis when needed using tools such as ArcGIS or similar platforms.
2026-07-17T00:00:00Z

Data Analyst III

Windsor, CT
onsite
Temporary / Contract
33 - 38 USD / Hourly
We are looking for a Data Analyst III to join a team in Windsor, Connecticut, where you will help connect data sources, support reporting needs, and resolve integration-related issues across business systems. This Long-term Contract position is well suited for someone with early to mid-level experience who is comfortable working with databases, APIs, and Power BI while partnering with both business and technical teams. The role offers the opportunity to turn operational needs into practical reporting solutions, improve data reliability, and assist users through clear communication and analysis. Responsibilities: • Build, revise, and support SQL queries and stored procedures to deliver reliable data for reporting and operational use. • Contribute to system integration efforts by assisting with API connectivity, monitoring data flows, and investigating interface problems. • Create and refine Power BI dashboards and reports that present meaningful insights for business users and stakeholders. • Gather business needs from cross-functional partners and convert those needs into clear technical specifications and data solutions. • Work closely with IT and project teams during development, testing, deployment, and follow-up issue resolution activities. • Provide support to internal teams and external customers by answering questions, researching data concerns, and clarifying integration behavior. • Perform initial debugging and help identify root causes for reporting discrepancies, data defects, and system-related errors. • Review data outputs for consistency and accuracy to help maintain strong data quality across reports and integrated platforms.
2026-07-21T00:00:00Z

IT Data Analyst

Grand Rapids, MI
onsite
Permanent / Full Time
90000 - 110000 USD / Yearly
We are looking for a Data Analyst to turn complex technical data into clear insights that support performance, reliability, and user experience improvements. This role partners closely with teams across development, product, and IT to shape reporting needs and deliver meaningful analysis. Based in Grand Rapids, Michigan, the position focuses on building trusted data assets, uncovering patterns in system behavior, and helping guide informed operational decisions. Responsibilities: • Create interactive dashboards, reporting solutions, and visual summaries that translate technical metrics into actionable information for stakeholders. • Examine data sets to detect patterns, outliers, and improvement opportunities that can strengthen platform stability and end-user satisfaction. • Work with developers, product leaders, and IT partners to gather reporting needs and define accurate, useful data inputs. • Analyze infrastructure and application performance data to support monitoring efforts, resource forecasting, and capacity planning activities. • Investigate system-related issues through root cause analysis and present recommendations backed by data findings. • Uphold data quality by validating information, resolving inconsistencies, and maintaining dependable reporting across technology environments. • Contribute to predictive analytics and automation efforts that improve efficiency and enable more proactive decision-making. • Track developments in analytics platforms, programming tools, and emerging technologies to enhance reporting and analytical capabilities.
2026-06-18T00:00:00Z

Financial Data Analyst

Trenton, NJ
remote
Temporary / Contract
18 - 18.5 USD / Hourly
We are looking for a detail-oriented Financial Data Analyst to join a financial services team in New Jersey. This Long-term Contract opportunity is well suited for an early-career candidate or entry-level applicant who is eager to build hands-on experience in financial analysis, data review, and market-focused research. The role calls for strong Excel capabilities, comfort working with financial applications, and the ability to evaluate complex or unstructured information with accuracy and sound judgment. Responsibilities: • Review financial data sets and perform analysis to identify trends, inconsistencies, and meaningful business insights. • Organize, validate, and enter numeric information with a high degree of accuracy across financial records and reporting tools. • Examine unstructured written content and convert key details into clear, usable data for analysis and reporting purposes. • Support market-focused research by gathering relevant information and summarizing findings for internal stakeholders. • Build and maintain spreadsheets, models, and reports using advanced Microsoft Excel functions and features. • Work across multiple financial systems and software platforms to compile data and help ensure reporting consistency. • Assist with routine financial reporting activities by preparing summaries, reconciling figures, and checking data quality. • Collaborate with team members to address data-related questions and contribute to process improvements within analytical workflows.
2026-07-08T00:00:00Z

Data Analyst 1 (0-2 years)

Chicago, IL
remote
Temporary / Contract
32 - 37 USD / Hourly
We are looking for a motivated early-career Data Analyst to support utility and sustainability-related data work for a long-term contract opportunity based in Chicago, Illinois. This position is ideal for an entry-level candidate or a detail-oriented individual who enjoys organizing complex information, improving data quality, and turning numbers into practical business insight. You will work closely with finance, real estate, and sustainability partners to help monitor utility spending, strengthen reporting accuracy, and support informed decision-making in a hybrid environment with three in-office days each week. Responsibilities: • Review and maintain large volumes of utility data, including invoices for services such as electricity, gas, water, and waste, to help ensure records are complete and accurate. • Examine billing information against agreements and supporting documents to identify discrepancies, support reconciliations, and promote cost control. • Clean, standardize, and organize data from multiple sources so it can be used reliably for tracking, analysis, and reporting. • Assist with dashboards, summaries, and visual reports that present findings clearly to finance, real estate, sustainability, and leadership stakeholders. • Prepare data for sustainability-related reporting, including utility consumption, emissions tracking, and other environmental performance measures. • Document data sources, assumptions, and review steps to strengthen auditability, consistency, and internal controls. • Partner with internal teams as well as outside vendors or utility providers to resolve data questions and improve reporting quality. • Contribute to process improvements in invoice handling, data validation, and recurring analysis to make reporting more efficient over time.
2026-07-14T00:00:00Z

Marketing Data Analyst

Troy, MI
onsite
Permanent / Full Time
70000 - 95000 USD / Yearly
We are looking for a Marketing Data Analyst to turn marketing and customer data into clear insights that strengthen campaign strategy and business decisions for a financial services organization in Troy, Michigan. This role combines reporting, audience analysis, market research, and cross-functional collaboration to improve marketing performance across multiple channels. The ideal candidate brings strong analytical ability, experience working with CRM or marketing data platforms, and a practical understanding of how data can support member-focused growth. Responsibilities: • Serve as the internal expert on the CRM marketing data platform and related tools, helping the team maximize system capabilities and maintain reliable data usage practices. • Create, run, and verify database queries while routinely reviewing data quality to support accurate reporting and dependable campaign execution. • Combine internal financial services information with external and industry data sources to enrich analysis and strengthen marketing initiatives. • Produce recurring reports and dashboards that track campaign outcomes, brand indicators, referral activity, and performance across paid, earned, and owned channels. • Partner with campaign owners and business stakeholders to interpret results, identify trends, and recommend adjustments that improve marketing effectiveness. • Conduct primary and secondary research to support decisions related to brand positioning, product and service opportunities, pricing considerations, and member engagement strategies. • Build audience segments using first-party and third-party data, applying analytical methods to refine targeting for prospecting, onboarding, re-engagement, and automated marketing journeys. • Work with vendors, IT, and internal teams to gather insights, support testing strategies, monitor lead progression from initial response through conversion, and fulfill specialized reporting or research requests.
2026-06-30T00:00:00Z

Data Architect

Springfield, MA
onsite
Temporary / Contract
55 - 58 USD / Hourly
We are seeking an experienced Clinical Data Architect / Data Management Specialist to support the design, integration, cleansing, and processing of clinical data across multiple healthcare data sources. This role will focus on developing scalable data frameworks, establishing data standards, and transforming disparate healthcare data into a cohesive longitudinal data model to support analytics, reporting, and operational needs.
2026-07-20T00:00:00Z

Data Architect

Glendale, AZ
onsite
Temporary / Contract
0 - 0 USD / Yearly
Data ArchitectContract-to-permanentThe Data Architect is responsible for defining, governing, and evolving the organization’s enterprise data architecture across ERP, operational systems, and analytics platforms. This role ensures data consistency, scalability, and integrity as the organization executes ERP implementations and OpCo rollouts.This position does not perform day-to-day reporting or operational data fixes. Instead, it defines the structure, standards, and guardrails that others operate within.Key Responsibilities Data Architecture and Design<ul><li>Define and maintain enterprise data models across ERP, operational, and analytics platforms.</li><li>Design canonical data models for core domains such as customers, vendors, jobs, projects, financials, and assets.</li><li>Define data relationships and ownership across BuildOps, Procore, ERP finance, and downstream analytics systems.</li><li>Establish standards for master data, reference data, and transactional data.</li></ul>Data Governance and Quality<ul><li>Define data ownership, stewardship, and accountability by domain.</li><li>Establish data quality rules, validation standards, and reconciliation frameworks.</li><li>Partner with Applications Management and Operations Success Managers to align system configuration with data standards.</li><li>Define auditability and traceability standards for financial and operational data.</li></ul>Integration and Analytics Enablement<ul><li>Partner with integration engineers to define data contracts, schemas, and transformation rules.</li><li>Ensure data models support reporting, business intelligence, and downstream analytics use cases.</li><li>Review and approve data design decisions for new integrations and ERP modules.</li></ul>ERP and Implementation Support<ul><li>Support ERP implementations by validating data design, mappings, and cutover readiness.</li><li>Review data migration strategies to ensure alignment with target-state architecture.</li><li>Provide architectural guidance during fit-gap, design, and testing phases.</li></ul>
2026-07-02T00:00:00Z

Data Engineer

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

Data Engineer

Kalamazoo, MI
remote
Permanent / Full Time
150000 - 225000 USD / Yearly
We are looking for a senior-level Data Engineer to shape and deliver a scalable data platform in Kalamazoo, Michigan. This role combines strategic architecture with hands-on engineering, creating reliable data products that support reporting, advanced analytics, and AI-driven solutions. The ideal candidate will build secure, multi-tenant data capabilities with strong attention to privacy, governance, and long-term platform quality. Responsibilities: • Lead the design of a modern data platform that supports ingestion, transformation, storage, and consumption across analytical and operational use cases. • Build and maintain robust batch and streaming pipelines that move data from relational systems, object storage, document databases, and event sources into centralized platforms. • Define data architecture standards, modeling approaches, and engineering practices that improve consistency, reliability, and scalability across the organization. • Create multi-tenant data solutions with strong isolation controls, secure access patterns, and governance measures built into the platform design. • Develop data models and serving layers that enable enterprise reporting, self-service analytics, and AI or machine learning workloads. • Evaluate cloud-based data services, processing frameworks, and warehouse technologies to ensure the platform meets performance, cost, and security expectations. • Partner with product, engineering, and leadership teams to explain technical decisions, highlight risks, and align platform investments with business priorities. • Oversee external vendors and implementation partners by reviewing recommendations, challenging misaligned approaches, and enforcing internal data standards.
2026-06-18T00:00:00Z

Data Engineer

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

Data Engineer

New York, NY
onsite
Temporary / Contract
80.75 - 93.5 USD / Hourly
We are looking for a Data Engineer to lead the design and adoption of a scalable data quality framework built on Great Expectations across enterprise data environments in Cincinnati, Ohio. This Long-term Contract position will focus on strengthening trust in data used for reporting, analytics, and operational decision-making by embedding quality controls into modern pipelines and cloud-based platforms. The role works closely with engineering, governance, analytics, and business teams to establish practical standards, automate validation processes, and improve visibility into data health across the organization. Responsibilities: • Shape and standardize the organization’s approach to data quality by creating reusable Great Expectations assets, test patterns, and validation frameworks. • Implement and refine Great Expectations across batch, streaming, and cloud-based data workflows to support dependable quality checks throughout the data lifecycle. • Administer core GX components, including Data Contexts, Expectation Suites, Checkpoints, and generated documentation, to ensure consistent execution and maintainability. • Define and promote effective methods for writing expectations, running validations, and documenting outcomes for technical and business audiences. • Establish measurable data quality indicators such as completeness, accuracy, validity, and timeliness, and build processes to track performance over time. • Integrate automated validation into engineering delivery pipelines using tools such as GitHub Actions, Azure DevOps, or Jenkins to support repeatable deployment practices. • Investigate recurring quality defects, identify underlying causes, and coordinate corrective actions with engineering and business stakeholders. • Create dashboards and reporting solutions in tools such as Power BI or Databricks to communicate trends, exceptions, and risk areas. • Embed data validation into platforms such as Azure Data Factory, Databricks, Delta Live Tables, Airflow, or similar orchestration environments across development, test, and production stages. • Guide engineers, analysts, data stewards, and quality resources by providing training, support, and leadership on how to build, maintain, and use Great Expectations validations effectively.
2026-07-21T00:00:00Z

Data Engineer

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

Data Engineer

Wood Dale, IL
onsite
Temporary to Hire
47.5 - 55 USD / Hourly
We are looking for a Data Engineer to help shape and scale a modern cloud-based data environment in Wood Dale, Illinois. This contract opportunity with potential for a permanent role is ideal for someone who enjoys creating reliable data solutions from the ground up and turning disconnected information into trusted reporting assets. You will work closely with business and technical partners to build a strong data foundation that improves visibility, consistency, and decision-making. The role offers a hands-on chance to define standards, streamline data delivery, and support long-term scalability in a collaborative team setting. Responsibilities: • Create and refine scalable data models and curated datasets within BigQuery to support accurate analysis and reporting. • Build, manage, and optimize ETL workflows and data pipelines that connect information from SaaS applications and other source systems. • Develop reporting-ready data structures and dashboards that provide clear, dependable insights for business users. • Establish data quality practices, documentation standards, and performance metrics to strengthen trust in enterprise reporting. • Collaborate with cross-functional stakeholders to translate reporting objectives into well-structured data solutions. • Automate repetitive data tasks through scripting and lightweight engineering approaches using tools such as Python. • Apply governance and maintainability best practices to improve how data is organized, accessed, and supported over time. • Contribute to modernization efforts by helping move data processes away from legacy workflows into scalable cloud-based platforms.
2026-07-17T00:00:00Z

Data Engineer

Conshohocken, PA
remote
Permanent / Full Time
100000 - 150000 USD / Yearly
We are looking for a Data Engineer to join a growing team in Conshohocken, Pennsylvania within the financial services industry. In this role, you will build and enhance modern data pipelines and warehouse structures that support reporting, analytics, and business decision-making. You will partner with technical and business teams to deliver reliable, well-governed data solutions using Python, Azure Synapse Analytics, and related cloud technologies. Responsibilities: • Build and support scalable data pipelines using Python, including PySpark, within Azure Synapse Analytics notebooks and pipeline workflows. • Design, load, and maintain warehouse structures in a massively parallel processing environment, applying dimensional modeling concepts such as facts and dimensions. • Ingest and transform data from a range of sources, including APIs, databases, and flat files, to create dependable datasets for downstream use. • Improve the efficiency and reliability of Azure Synapse processes by tuning queries, refining workloads, and addressing performance constraints. • Partner with data architects, analysts, and other stakeholders to translate business needs into practical data models and engineering solutions. • Establish validation routines and data quality controls to promote completeness, consistency, and accuracy across datasets. • Monitor scheduled jobs and pipeline activity, troubleshoot failures, and implement corrective actions to maintain service levels. • Document data flows, transformation logic, technical configurations, and operating procedures to support maintainability and knowledge sharing. • Apply security, privacy, and governance standards to data solutions while supporting broader data platform initiatives such as lakes, lakehouses, and cataloging practices.
2026-06-25T00:00:00Z

Data Engineer

Atlanta, GA
onsite
Temporary to Hire
47.5 - 60 USD / Hourly
We are looking for a Data Engineer to join an opportunity in Atlanta, Georgia. In this role, you will design and support reliable data solutions that enable efficient reporting, analytics, and downstream business insights across cloud-based platforms. The ideal candidate brings strong engineering fundamentals, enjoys working with diverse data sets, and can help shape scalable architecture in a collaborative enterprise environment. Responsibilities:• Design, build, and maintain robust data pipelines that move and transform information from a variety of internal and external sources.• Develop efficient integration processes to unify structured and unstructured data for analytics, reporting, and operational use cases.• Improve the speed, reliability, and scalability of existing data workflows through tuning, monitoring, and process optimization.• Create and refine data models that support business intelligence, advanced analytics, and decision-making needs.• Administer and enhance cloud-based data environments across modern platforms, ensuring stability, security, and performance.• Partner closely with analytics and business teams to understand data needs and deliver accessible, high-quality datasets.• Implement ETL solutions using Python, Spark, and cloud-native services to support enterprise data operations.• Contribute to best practices for data engineering, documentation, and cross-functional collaboration within a consultative delivery model
2026-06-18T00:00:00Z

Data Engineer

Jonesboro, AR
onsite
Permanent / Full Time
110000 - 120000 USD / Yearly
<ul><li>Design, build, and optimize scalable data pipelines for ingesting, processing, and transforming large datasets</li><li>Develop and maintain ETL/ELT workflows from multiple structured and unstructured data sources</li><li>Build data models and optimize data warehouse performance for analytics and reporting</li><li>Ensure data quality, integrity, governance, and security across all data platforms</li><li>Partner with business stakeholders, analysts, data scientists, and application teams to understand data requirements</li><li>Monitor pipeline performance and troubleshoot data-related issues in production environments</li><li>Implement automation for data validation, monitoring, and alerting</li><li>Support cloud-based data infrastructure and architecture improvements</li><li>Create and maintain documentation for data flows, architecture, and processes</li><li>Continuously improve data engineering standards, tools, and best practices</li></ul>
2026-07-02T00:00:00Z

Data Engineer

Memphis, TN
onsite
Permanent / Full Time
110000 - 120000 USD / Yearly
<ul><li>Design, build, and optimize scalable data pipelines for ingesting, processing, and transforming large datasets</li><li>Develop and maintain ETL/ELT workflows from multiple structured and unstructured data sources</li><li>Build data models and optimize data warehouse performance for analytics and reporting</li><li>Ensure data quality, integrity, governance, and security across all data platforms</li><li>Partner with business stakeholders, analysts, data scientists, and application teams to understand data requirements</li><li>Monitor pipeline performance and troubleshoot data-related issues in production environments</li><li>Implement automation for data validation, monitoring, and alerting</li><li>Support cloud-based data infrastructure and architecture improvements</li><li>Create and maintain documentation for data flows, architecture, and processes</li><li>Continuously improve data engineering standards, tools, and best practices</li></ul>
2026-07-02T00:00:00Z

Data Engineer

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

Data Engineer

Nashville, TN
onsite
Temporary / Contract
55 - 65 USD / Hourly
Robert Half is seeking a Contract Data Engineer to support our client’s data and analytics initiatives. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that enable efficient data ingestion, transformation, and delivery. The ideal candidate has strong experience working with modern data platforms, cloud environments, and large-scale datasets. Key Responsibilities:<ul><li>Data Pipeline Development: Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources.</li><li>Data Architecture: Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs.</li><li>Cloud Data Platforms: Work within cloud environments such as AWS, Azure, or GCP to deploy and manage data solutions.</li><li>Data Warehousing: Design and support enterprise data warehouses using platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse.</li><li>Big Data Processing: Develop solutions using big data technologies such as Spark, Databricks, Kafka, and Hadoop when required.</li><li>Performance Optimization: Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency.</li><li>Data Quality & Reliability: Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability.</li><li>Collaboration: Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions.</li><li>Documentation: Maintain detailed documentation for pipelines, data flows, and system architecture.</li></ul>
2026-07-16T00:00:00Z

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