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252 results for Data Warehouse Analyst jobs

Data Analyst

Mechanic Falls, ME
onsite
Temporary / Contract
27 - 32 USD / Hourly
We are looking for a Data Analyst to support fraud-focused analytical work for a long-term contract opportunity based in Mechanic Falls, Maine. This position will use data-driven insights to identify suspicious activity, strengthen anti-fraud efforts, and help improve investigative decision-making. The ideal candidate is comfortable working with complex datasets, spotting patterns and anomalies, and translating findings into practical recommendations for stakeholders. Responsibilities: • Analyze transaction and operational data to detect unusual patterns, emerging fraud risks, and suspicious behavior. • Develop reports, dashboards, and recurring analyses that support fraud monitoring and investigative priorities. • Partner with fraud prevention and investigation teams to turn data findings into actionable case insights. • Review large datasets to identify trends, outliers, and indicators that may signal financial or operational misconduct. • Support anti-fraud initiatives by evaluating results, measuring effectiveness, and recommending analytical improvements. • Prepare clear summaries of findings for business partners, highlighting risks, trends, and opportunities for response. • Maintain data accuracy and consistency across analyses to ensure reliable reporting and sound decision support.
2026-06-26T00:00:00Z

Data Analyst

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a Data Analyst with strong Power BI experience to transform data into actionable insights that drive business decisions. This role will be responsible for gathering requirements, analyzing complex datasets, developing dashboards and reports, and partnering with stakeholders across the organization to improve business performance.Key Responsibilities<ul><li>Design, develop, and maintain interactive Power BI dashboards and reports</li><li>Collect, analyze, and interpret large datasets from multiple sources</li><li>Translate business requirements into meaningful data visualizations and reporting solutions</li><li>Create and optimize data models, measures, and calculations using DAX</li><li>Develop and maintain data extraction, transformation, and loading (ETL) processes</li><li>Perform data validation and quality assurance to ensure reporting accuracy</li><li>Identify trends, patterns, and opportunities through data analysis</li><li>Partner with business stakeholders to understand reporting needs and provide recommendations</li><li>Automate recurring reports and improve reporting efficiency</li><li>Document data definitions, reporting processes, and business logic</li></ul>
2026-06-29T00:00:00Z

Data Analyst

North Reading, MA
onsite
Temporary / Contract
35 - 40 USD / Hourly
About the RoleWe are seeking a highly analytical and detail-oriented Business Analyst/Data Analyst to support a fast-paced Robotics Supply Chain organization. This role offers an exciting opportunity to work within a cutting-edge technology environment while gaining hands-on experience in procurement, supply chain operations, supplier management, and data analytics.The ideal candidate will possess strong analytical capabilities, advanced Excel skills, and experience working with supply chain, procurement, or business operations data. This position will support ongoing sustaining programs, engineering change management activities, and daily supply-demand analysis for critical components.Key ResponsibilitiesSupply Chain & Procurement Support<ul><li>Support daily supply chain operations and component demand planning activities</li><li>Assist with Agile and Engineering Change Order (ECO) management processes</li><li>Create and manage purchase requisitions within procurement systems</li><li>Track purchase orders and monitor supplier delivery performance</li><li>Maintain supplier databases, procurement records, and documentation</li><li>Coordinate supplier communications regarding quotes, deliveries, and documentation</li></ul>Data Analysis & Reporting<ul><li>Analyze supply and demand requirements for components</li><li>Create reports, dashboards, pivot tables, and spend analyses using Excel</li><li>Monitor supplier performance metrics, including on-time delivery</li><li>Maintain pricing databases and cost comparison models</li><li>Generate regular business reports and project status updates</li></ul>Supplier & Cross-Functional Coordination<ul><li>Coordinate sample requests and supplier interactions with engineering teams</li><li>Assist with supplier onboarding and documentation management</li><li>Participate in supplier meetings and cross-functional project discussions</li><li>Support RFQ (Request for Quote) preparation and supplier evaluations</li></ul>Research & Continuous Improvement<ul><li>Conduct supplier and market research</li><li>Compile competitive intelligence and pricing benchmarks</li><li>Support cost reduction and supplier consolidation initiatives</li><li>Help document and improve procurement processes and procedures</li></ul>Quality & Compliance Support<ul><li>Track supplier quality metrics and performance indicators</li><li>Maintain supplier certification and compliance documentation</li><li>Assist with audit preparation and corrective action tracking</li></ul>
2026-06-18T00:00:00Z

Data Analyst

Hampton, NH
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a detail-focused Data Analyst to join a utilities and infrastructure organization in Hampton, New Hampshire. This Long-term Contract opportunity is ideal for someone who can support reporting, data quality, and integration-related activities while working closely with project and business teams. The position will contribute during system implementation and continue to play an important role in ongoing reporting and data operations after launch. Responsibilities: • Partner with implementation stakeholders to develop reporting assets and organize supporting data documentation. • Carry out system and user testing activities, record issues clearly, and help monitor them through resolution. • Compare source and target data to identify discrepancies and support accurate reconciliation efforts. • Assist with large-volume data validation and conversion tasks while following established quality standards. • Maintain and enhance recurring reports that support day-to-day business decision-making. • Keep report inventories and data documentation current to improve usability and governance. • Perform routine data checks, bulk data updates, and file-based import activities with a high level of accuracy. • Provide support for integration workflows and data movement processes, expanding ownership as experience grows.
2026-06-10T00:00:00Z

Data Analyst

Lewisville, TX
onsite
Permanent / Full Time
75000 - 78000 USD / Yearly
We are looking for a Data Analyst to support reporting, data interpretation, and decision making. This role turns business questions into clear data plans, builds practical reporting solutions, and delivers insights that non-technical stakeholders can use confidently. The position works across multiple databases and reporting tools to organize information, evaluate trends, and present findings in a concise and meaningful way. Responsibilities:• Translate stakeholder needs into organized data extraction and reporting approaches that support business decisions.• Develop clear reports, analytical summaries, and impact models that make complex information accessible to operational teams.• Query source systems and work with database structures, tables, and stored procedures across multiple platforms to gather accurate data.• Combine information from different datasets to create reliable measures, validate results, and connect summary trends to detailed records.• Build and maintain Excel-based dashboards, pivot-driven analyses, and presentation materials for business review discussions.• Use SQL, Excel, Power BI, and presentation tools to deliver recurring and ad hoc analysis for business partners.• Interpret relational data structures and support reporting solutions that align with data warehouse and schema design principles.• Ensure all analytical work is completed with accuracy, professionalism, and consistency with organizational standarss
2026-06-11T00:00:00Z

Business Analytics/Data Analyst

Arlington, TX
onsite
Temporary / Contract
52.25 - 60.5 USD / Hourly
We are looking for a Business Analytics/Data Analyst to support data-driven decision-making for a long-term contract opportunity based in Arlington, Texas. This role focuses on transforming complex business and contract-related information into clear reporting, actionable insights, and reliable analysis for stakeholders. The ideal candidate brings strong experience in business intelligence, data interpretation, and analytical tools, along with the ability to work accurately across large datasets in a fast-paced environment. Responsibilities: • Analyze business and contract-related data to identify trends, exceptions, and opportunities for operational improvement. • Build and maintain dashboards, reports, and visual summaries that help stakeholders monitor performance and make informed decisions. • Review commercial contract information and audit findings to validate accuracy, consistency, and compliance with established terms. • Translate raw and structured data into meaningful insights by applying data abstraction techniques and analytical methodologies. • Partner with business teams to gather reporting needs, define metrics, and deliver intelligence solutions aligned with organizational goals. • Use business intelligence and data analysis tools to organize information, evaluate outcomes, and support strategic planning efforts. • Investigate data discrepancies, reconcile inconsistencies, and recommend corrective actions to improve reporting reliability. • Document analytical processes, reporting logic, and data definitions to support transparency and repeatable analysis.
2026-06-29T00:00:00Z

Business Analytics/Data Analyst

Trafford, PA
onsite
Temporary / Contract
59.375 - 68.75 USD / Hourly
We are looking for an experienced Epicor Kinetic Consultant to support manufacturing scheduling and operational reporting initiatives. This Long-term Contract position is ideal for someone with hands-on expertise in Epicor Kinetic within a job shop environment and a strong understanding of how scheduling data drives production performance. The role will focus on improving scheduling structure, building meaningful dashboards, and delivering insights that help teams manage capacity, materials, and priorities effectively. Responsibilities:• Lead the setup and optimization of Epicor Kinetic scheduling practices for a manufacturing job shop environment.• Evaluate how jobs are structured to improve scheduling accuracy, production flow, and operational efficiency.• Configure and assess key scheduling inputs such as resources, material availability, subcontract timing, staffing levels, and working calendars.• Analyze critical path, margin impact, and supply-versus-demand factors to help establish practical production priorities.• Partner with stakeholders on-site over an extended period to support scheduling adoption, process alignment, and ongoing performance improvements.• Design custom dashboards and reporting tools in Kinetic to provide clear visibility into production status, constraints, and business metrics.• Perform data analysis to identify scheduling bottlenecks, inventory impacts, and lead-time risks across manufacturing operations.• Support database update activities and data migration tasks using designated tools when required.
2026-06-22T00:00:00Z

Business Intelligence and Data Analyst

Boston, MA
remote
Permanent / Full Time
70000 - 90000 USD / Yearly
We are looking for a Business Intelligence and Data Analyst to join a collaborative analytics team supporting enterprise performance initiatives in Boston, Massachusetts. In this role, you will work closely with data engineering and business stakeholders to turn complex operational information into clear, actionable reporting. This position is ideal for an early-career analyst who enjoys building dashboards, improving reporting accuracy, and helping leaders make informed decisions through data. Responsibilities: • Create and refine Power BI dashboards and recurring reports that give teams clear visibility into performance trends and operational results. • Analyze large and varied datasets to uncover meaningful patterns, explain performance drivers, and support business decision-making. • Partner with data engineers and cross-functional teams to gather reporting needs, validate data sources, and improve the reliability of analytics outputs. • Maintain, update, and enhance existing business intelligence solutions to ensure reporting remains accurate, relevant, and easy to use. • Deliver both scheduled reporting and ad hoc analysis to help leadership monitor priorities and respond to emerging business questions. • Develop and track key performance indicators that measure outcomes across departments and highlight opportunities for improvement. • Present findings in a concise, business-friendly way so that both technical and non-technical stakeholders can act on the insights provided. • Support broader analytics adoption by helping users understand reporting tools, metrics, and dashboard functionality. • Contribute to technical assessments and problem-solving efforts related to reporting processes, data quality, and dashboard performance.
2026-06-03T00:00:00Z

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.
2026-06-26T00:00:00Z

Data Scientist

Atlanta, GA
onsite
Permanent / Full Time
120000 - 140000 USD / Yearly
We are looking for a Data Scientist to join a fast-moving IT consulting environment in Atlanta, Georgia. This role focuses on turning complex data into practical business insights, with a strong emphasis on forecasting, predictive modeling, and customer-focused problem solving. The ideal candidate combines advanced machine learning expertise with hands-on data preparation skills and can clearly explain how analytical work influences end users and business outcomes. Responsibilities: • Build, validate, and refine forecasting and predictive models using Python and modern machine learning frameworks for business-driven use cases. • Develop analytical solutions with tools such as scikit-learn, XGBoost, LightGBM, and time-series or deep learning methods based on project needs. • Use Databricks and Apache Spark to process large datasets efficiently and support scalable model development workflows. • Prepare, transform, and organize data by writing queries, performing ETL tasks, and improving data quality for downstream analysis. • Translate technical findings into clear recommendations for clients and stakeholders, emphasizing business impact and user experience. • Partner with customer-facing teams to define problem statements, shape data-driven approaches, and deliver actionable insights in a fast-paced setting. • Apply product thinking when designing models and analytical outputs to ensure solutions align with customer needs and practical use. • Contribute domain knowledge to projects involving retail or consumer goods data, helping tailor models to industry-specific patterns and challenges.
2026-06-10T00:00:00Z

Data Scientist

New York, NY
onsite
Permanent / Full Time
200000 - 225000 USD / Yearly
We are looking for a Data Scientist to join a fast-paced investment environment in New York, New York, where data-driven insight plays a central role in research and decision-making. This position will focus on turning complex datasets into practical analysis, scalable tools, and clear intelligence that support investment ideas. The ideal candidate brings strong technical depth, sound statistical judgment, and the ability to shape loosely defined questions into structured, repeatable research. Responsibilities: • Work closely with investment professionals to create quantitative studies, analytical frameworks, and practical tools that strengthen fundamental research workflows. • Identify promising alternative data sources, assess their relevance and quality, and support their integration into the research process. • Design and execute backtests, predictive models, and exploratory investigations to evaluate and refine investment hypotheses. • Produce and maintain analyst-facing dashboards and reporting views within internal analytics environments. • Convert one-off research requests into repeatable, clearly documented analyses that can be reused and scaled over time. • Partner with engineering teams to define data needs, support ingestion processes, and improve dataset availability for research use.
2026-06-16T00:00:00Z

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.
2026-06-23T00:00:00Z

Data Security Analyst

Chicago, IL
onsite
Temporary / Contract
79.1635 - 91.663 USD / Hourly
We are looking for a Data Security Analyst to support and strengthen email and messaging security operations for a Contract position based in Chicago, Illinois. This role focuses on protecting the organization from phishing, malware, impersonation, and other email-borne threats while improving the reliability and security of mail delivery. The ideal candidate brings deep experience with Proofpoint, hybrid messaging environments, and user-focused security practices, along with the ability to communicate clearly across technical and non-technical teams. Responsibilities: • Investigate and resolve complex email security and delivery issues, including routing failures, encryption challenges, quarantine events, and user-reported security concerns. • Review dashboards, system logs, and alert activity to identify and respond to phishing attempts, malware incidents, spoofing, and impersonation threats. • Administer and optimize Proofpoint Essentials and related integrations to maintain strong protection across the messaging environment. • Configure and maintain email security controls, including encryption settings, policy rules, and quarantine management processes. • Lead initiatives involving Proofpoint enhancements, platform updates, and rollout of new security capabilities. • Develop clear guidance and training materials for IT teams and end users on secure email practices and available protection tools. • Support security awareness efforts by helping manage phishing simulation activities and user education programs. • Collaborate with broader security operations by connecting email security insights with SIEM platforms and other enterprise security tools where applicable.
2026-06-29T00:00:00Z

Product Data Analyst

Rogers, MN
onsite
Temporary / Contract
31.6635 - 36.663 USD / Hourly
We are looking for a Product Data Analyst to support digital commerce initiatives by building and maintaining accurate product information across key business systems. This Long-term Contract position is based in Rogers, Minnesota, and will focus on improving the quality, consistency, and completeness of product content used in online distributor channels. The ideal candidate will combine strong analytical ability with hands-on experience in e-commerce data management and cross-functional collaboration. Responsibilities: • Gather, verify, and enter product details into company platforms to maintain reliable and up-to-date records. • Review product content to uncover missing specifications, inconsistent attributes, and incomplete organizational data that could affect online visibility. • Partner with Product Management and related stakeholders to align product information with business standards and digital channel needs. • Contribute to e-commerce projects by preparing and organizing data used to populate distributor-facing websites. • Use Oracle, AI-supported tools, and SharePoint to manage, refine, and distribute product information efficiently. • Monitor product data quality across systems and recommend corrections that improve accuracy and completeness. • Help ensure product content is presented consistently across digital platforms through careful validation and ongoing maintenance.
2026-06-24T00:00:00Z

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

Greenville, SC
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for a Data Engineer to support and enhance critical data operations in Greenville, South Carolina. This role focuses on keeping data platforms dependable, efficient, and scalable across both real-time and scheduled workflows. The ideal candidate will bring strong technical expertise in cloud-based data environments and a proactive approach to improving performance, automation, and data reliability. Responsibilities: • Oversee the health and performance of data pipelines that run across Snowflake, Kafka, and connected platforms. • Investigate operational issues affecting data ingestion, transformation, or downstream delivery and drive timely resolution. • Maintain stable batch and streaming processes by improving resiliency, uptime, and overall execution efficiency. • Administer Snowflake resources, including warehouses, databases, permissions, and usage optimization. • Manage Kafka infrastructure by tuning clusters, topics, partitions, and consumer group behavior for reliable throughput. • Create and maintain automated solutions for deployment, monitoring, failure recovery, and routine workflow support. • Develop operational scripts and utilities using Python, Bash, and related tools to reduce manual effort and improve consistency. • Contribute to CI/CD practices that strengthen the release and maintenance process for data infrastructure. • Partner with engineering and analytics teams to improve pipeline design, data performance, and delivery accuracy. • Support data governance, security, compliance, and data quality standards through validation checks and alerting frameworks.
2026-06-08T00:00:00Z

Data Engineer

Atlanta, GA
onsite
Permanent / Full Time
95000 - 110000 USD / Yearly
ONSITESeeking a Data Engineer to build and optimize scalable data pipelines and platforms supporting enterprise analytics, reporting, and AI initiatives. Responsibilities<ul><li>Build ETL/ELT pipelines (batch & streaming)</li><li>Design scalable data architectures (Lakehouse, warehouse)</li><li>Ensure data quality, governance, and security</li><li>Optimize performance, cost, and reliability</li><li>Partner with analytics, BI, and engineering teams</li></ul>
2026-06-15T00:00:00Z

Data Engineer

Miami, FL
onsite
Temporary / Contract
50 - 60 USD / Hourly
We are looking for a talented Data Engineer to join our team in Miami, Florida. This long-term contract position offers the opportunity to work on cutting-edge technologies and contribute to the development of efficient data pipelines and processes. The ideal candidate will have a strong background in data engineering and a passion for delivering high-quality solutions that drive business success. Responsibilities:• Design and implement scalable data pipelines using Snowflake, Python, and other relevant tools.• Collaborate with stakeholders to gather and refine data requirements, ensuring alignment with business needs.• Develop and maintain data models to support analytics, reporting, and operational processes.• Optimize data warehouse performance by tuning queries and managing resources effectively.• Ensure data quality through rigorous testing and governance protocols.• Implement security and compliance measures to protect sensitive data.• Research and integrate emerging technologies to enhance system capabilities.• Support ETL processes for data extraction, transformation, and loading.• Work with technologies such as Apache Spark, Hadoop, and Kafka to manage and process large datasets.• Provide technical guidance and support to team members and stakeholders.
2026-06-18T00:00:00Z

Data Engineer

Washington, DC
onsite
Temporary / Contract
55 - 60 USD / Hourly
Data Engineer – Databricks / Azure / AI Analytics You must be able to obtain and maintain a public trust clearance, Position OverviewWe are seeking a highly capable Data Engineer to design and support scalable data pipelines and analytics environments within a cloud-based Azure data platform. This role focuses on building modern data solutions using Databricks, Spark, and distributed data architectures, supporting enterprise-level analytics and AI initiatives.The ideal candidate brings hands-on expertise in Databricks engineering, cloud data pipelines, and data integration, along with strong collaboration skills to translate business requirements into technical solutions. This position offers the opportunity to work on large-scale data platforms and support advanced analytics and AI-driven workloads. Key ResponsibilitiesData Engineering & Pipeline Development<ul><li>Design, build, and optimize data pipelines using Databricks and Spark</li><li>Implement Medallion architecture and scalable data processing workflows</li><li>Develop ingestion pipelines for structured, streaming, and unstructured datasets</li></ul>Cloud & Platform Integration<ul><li>Work with Azure services (Data Factory, Storage, Functions, Log Analytics)</li><li>Integrate data across multiple sources to enable high-quality analytics</li><li>Support hybrid cloud initiatives and evolving data platforms</li></ul>Data Management & Optimization<ul><li>Ensure data quality, integrity, and accessibility across systems</li><li>Monitor pipeline performance and optimize cost, scalability, and efficiency</li><li>Support data governance, cataloging, and compliance standards</li></ul>Platform Operations & Support<ul><li>Troubleshoot performance issues, cluster stability, and configuration management</li><li>Support end-user requests and provide front-line platform support</li><li>Implement monitoring, logging, and alerting solutions</li></ul>DevOps & Automation<ul><li>Develop and maintain CI/CD pipelines and infrastructure-as-code (IaC)</li><li>Automate deployment and data workflows for improved efficiency</li><li>Support continuous delivery within Agile environments</li></ul>
2026-06-02T00:00:00Z

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.
2026-06-30T00:00:00Z

Data Engineer

Westchester, IL
remote
Temporary / Contract
70 - 80 USD / Hourly
We are looking for a Data Engineer to join a team on a Long-term Contract assignment. This position will play a key role in strengthening an established Microsoft Fabric environment by building scalable data solutions that improve reliability, accessibility, and business value. The ideal candidate brings strong technical depth in modern data engineering, paired with the ability to evaluate data design choices thoughtfully and communicate effectively with stakeholders. You will work with business-facing data needs while helping shape well-structured datasets that support reporting, analytics, and long-term platform maturity. Responsibilities:• Expand and enhance an existing Microsoft Fabric data platform to improve performance, consistency, and downstream usability.• Develop layered data solutions using Bronze, Silver, and Gold design principles, with particular attention to delivering trusted and analytics-ready Gold datasets.• Create and refine data models that support accurate reporting by evaluating data relationships, structure, quality, and business context.• Build ingestion and transformation pipelines for Salesforce data along with additional source systems used across the organization.• Contribute to the evolution of reporting and warehousing practices by reducing dependence on legacy approaches and spreadsheet-driven processes.• Work autonomously on technical deliverables while providing clear updates on milestones, design decisions, dependencies, and potential issues.• Partner with business stakeholders to understand reporting needs and translate them into effective data structures that support analytics and visualization tools.• Use data engineering technologies such as Python, Spark, ETL frameworks, and related platform capabilities to deliver scalable solutions.• Support report-oriented data design by preparing curated datasets that align with Power BI and other business intelligence use cases.
2026-06-18T00:00:00Z

Data Engineer

Chicago, IL
onsite
Temporary to Hire
55.4135 - 64.163 USD / Hourly
We are looking for a Data Engineer to join a real estate and property organization in Chicago, Illinois on a contract-to-permanent basis. This role is ideal for a hands-on builder who can create and improve modern data pipelines, manage core data platforms, and support reliable data delivery across the business. You will work within the Azure ecosystem to develop scalable solutions that connect multiple data sources, strengthen data quality, and enable informed decision-making. Responsibilities: • Design, build, and enhance end-to-end data pipelines using Microsoft Fabric and/or Azure Data Factory for production use. • Manage and improve the data environment with a strong ownership mindset, ensuring performance, reliability, and maintainability. • Integrate data from varied sources such as APIs, databases, and flat files into structured, usable datasets. • Develop data models and schema designs that support reporting, analytics, and downstream business needs. • Monitor data quality and implement validation checks, troubleshooting issues through root cause analysis and continuous optimization. • Create scalable cloud-based data solutions within Azure that support long-term operational and analytical goals. • Partner with cross-functional stakeholders to translate business questions into practical data engineering solutions. • Contribute to orchestration, automation, and ongoing support of data workflows using modern engineering tools and programming languages.
2026-06-22T00:00:00Z

Data Engineer

Beverly Hills, CA
remote
Temporary / Contract
50 - 53 USD / Hourly
We are looking for a Data Engineer to support a long-term contract assignment in Beverly Hills, California. This position focuses on preparing, validating, and organizing access-related data to help deliver reliable site deployments and ensure accurate user provisioning across connected systems. The role works closely with Facilities, Identity, Security, and vendor teams to improve data quality, support implementation activities, and maintain consistent rollout processes across locations. Responsibilities: • Collaborate with Facilities and cross-functional partners to collect, cleanse, and verify access control information before deployment activities begin. • Reconcile user, badge, and permission records across legacy tools, Workday, Active Directory, and related platforms to maintain consistent data alignment. • Build and validate migration files, import templates, and assignment lists needed for loading records into Genea and associated systems. • Execute data upload activities with internal stakeholders and external vendors, then perform detailed checks to confirm completeness and accuracy. • Translate site and business access needs into structured mappings that connect users with the appropriate access groups and permissions. • Coordinate with Identity and Security teams to ensure access group design aligns with Active Directory, Okta, and established governance standards. • Support go-live and cutover efforts by preparing final data sets, applying last-minute updates, and assisting teams during rollout windows. • Maintain clear documentation for templates, mappings, validation steps, and repeatable processes while incorporating lessons learned for future deployments. • Provide post-launch support by troubleshooting data issues, correcting access assignments, and helping sites transition into steady-state operations.
2026-06-30T00:00:00Z

Data Engineer

Austin, TX
onsite
Temporary / Contract
50 - 60 USD / Hourly
Data EngineerOnsite | Austin, TX | Contract <ul><li>Design, build, and maintain scalable data pipelines and ETL/ELT processes</li><li>Develop and manage data architectures such as data warehouses, data lakes, and lakehouses</li><li>Ingest and integrate data from multiple sources (databases, APIs, streaming platforms)</li><li>Ensure data quality, integrity, and reliability across systems</li><li>Optimize data processing, storage, and query performance</li><li>Collaborate with data analysts, data scientists, and business teams to support analytics and reporting needs</li><li>Implement automation for data workflows, monitoring, and error handling</li><li>Troubleshoot and resolve data pipeline issues and performance bottlenecks</li><li>Support batch and real‑time data processing frameworks</li><li>Document data models, pipelines, and data engineering processes</li></ul>
2026-06-18T00:00:00Z

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

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