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654 results for Financial Data Analyst jobs

Sr. Information Analyst
  • Hackensack, NJ
  • onsite
  • Permanent / Full Time
  • 140000 - 170000 USD / Yearly
  • <p>We are looking for an experienced Sr. Information Analyst to support IT risk, governance, and compliance initiatives in Hackensack, New Jersey. This role focuses on strengthening security and privacy practices by evaluating control environments, identifying compliance gaps, and helping align internal standards with recognized regulatory and industry frameworks. The ideal candidate will work closely with cross-functional teams, communicate findings to leadership, and contribute to awareness programs that improve organizational readiness and accountability.</p><p><br></p><p>Responsibilities:</p><p>• Support the development and rollout of security and compliance policies, standards, and operating procedures that align with established global governance frameworks.</p><p>• Perform risk reviews, vulnerability evaluations, and gap analyses to uncover control weaknesses and recommend practical remediation steps.</p><p>• Help implement and validate controls designed to meet applicable U.S. federal regulatory expectations and broader compliance obligations.</p><p>• Participate in audit and assessment activities, including controls testing, internal reviews, and privacy-focused evaluations, then document findings and improvement opportunities.</p><p>• Partner with business and technical teams to coordinate compliance efforts, track action items, and promote consistent risk management practices.</p><p>• Create clear reports, scorecards, and dashboards that summarize compliance status, key risks, and progress for senior leadership.</p><p>• Contribute to security awareness efforts by helping develop training content, simulated exercises, and digital learning materials for employees.</p><p>• Analyze participation data, feedback, and performance metrics to measure training effectiveness and support ongoing program enhancements.</p>
  • 2026-10-20T00:00:00Z
Inventory & Materials Planning Analyst
  • Bridgewater, NJ
  • onsite
  • Permanent / Full Time
  • 80000 - 100000 USD / Yearly
  • <p><strong>Our client in the Bridgewater area is hiring for an Inventory &amp; Materials Planning Analyst!</strong></p><p>This is a newly created, hands-on analytical position supporting inventory, materials planning, purchasing, forecasting, and production needs within a growing organization.</p><p>The ideal candidate will understand how customer demand, inventory, purchasing, and production work together and will be comfortable digging into data to identify discrepancies, excess inventory, shortages, and opportunities to improve planning processes.</p><p>Depending on experience, this role is paying <strong>$85,000–$100,000</strong>, including <strong>full benefits (medical, dental, vision, 401(k), PTO, and paid holidays).</strong></p><p><strong>Schedule:</strong> Monday–Friday, 8:00 AM–4:30 PM</p><p> <strong>Location:</strong> Fully Onsite</p><p><strong>About the Role</strong></p><p> </p><p><strong>Key Responsibilities</strong></p><ul><li>Monitor inventory levels, material requirements, forecasts, and production needs</li><li>Review purchasing activity and identify discrepancies, excess orders, and changing demand</li><li>Analyze inventory vs. forecasted demand and help optimize material availability</li><li>Identify opportunities to adjust or reduce purchase orders based on demand</li><li>Partner with Purchasing, Planning, Customer Service, Account Management, and Production</li><li>Track excess or aging inventory and help determine root causes and solutions</li><li>Develop reporting and improve visibility into inventory and material requirements</li><li>Identify process gaps and help create more standardized and scalable planning processes</li><li>Utilize ERP and other systems to analyze data and support decision-making</li><li>Support the implementation of new technology and AI-driven tools to improve operational efficiency</li></ul><p><br></p>
  • 2026-10-09T00:00:00Z
Product Content Operations Analyst
  • Westerville, OH
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • We are looking for a Product Content Operations Analyst to support and strengthen product content quality across digital and internal platforms in Westerville, Ohio. This Long-term Contract position focuses on improving the accuracy, consistency, and completeness of product information while partnering with cross-functional teams to maintain reliable content operations. The ideal candidate will combine analytical thinking, process discipline, and collaboration skills to help create scalable governance practices and measurable content standards.<br><br>Responsibilities:<br>• Conduct detailed reviews of product content across internal systems and web channels to uncover outdated, duplicated, incomplete, or incorrect information and help drive corrective action.<br>• Strengthen asset governance by organizing metadata standards, tagging structures, naming conventions, classification methods, and lifecycle controls for content management.<br>• Evaluate product data for quality and completeness, resolve inconsistencies, and improve the standardization of attributes, descriptions, and related supporting materials.<br>• Monitor published website content to confirm that product and editorial information remains accurate, current, and aligned with approved messaging and source data.<br>• Partner with product, marketing, digital experience, regional stakeholders, and subject matter experts to coordinate content development, review, approvals, and release activities.<br>• Build and document repeatable workflows that connect product lifecycle milestones with content requirements and publishing processes across platforms.<br>• Apply AI-enabled and automated solutions to assist with content analysis, metadata generation, classification, enrichment, and identification of information gaps.<br>• Create dashboards, reports, and performance measures that track audit results, remediation progress, content completeness, and overall operational effectiveness.<br>• Promote continuous improvement by establishing clear ownership, accountability, and structured management routines that support scalable content operations.<br>• Support operational process updates and platform-related content changes as needed within established governance frameworks.
  • 2026-11-04T00:00:00Z
Senior Risk Analyst
  • Albany, NY
  • onsite
  • Permanent / Full Time
  • 65000 - 80000 USD / Yearly
  • <p>Our client is seeking a Risk Analyst to join a collaborative and growing team. This is an excellent opportunity for a risk, audit, or compliance professional who enjoys solving complex problems, partnering with business leaders, and helping strengthen an organization&#39;s control environment.</p><p><br></p><p>The ideal candidate will bring experience in internal audit, risk management, and internal controls.</p><p><br></p><p>What You&#39;ll Do</p><ul><li>Validate remediation efforts by reviewing supporting documentation and evidence to ensure corrective actions have been effectively implemented</li><li>Perform testing of internal controls and evaluate their design and operating effectiveness</li><li>Monitor and track audit findings, regulatory issues, and risk mitigation activities</li><li>Support internal and external audits, regulatory examinations, and compliance reviews</li><li>Partner with business units to identify, assess, and mitigate operational and compliance risks</li><li>Work closely with regulators, auditors, and leadership teams to address findings and recommendations</li><li>Analyze processes and controls, identifying opportunities for improvement and increased efficiency</li><li>Utilize risk, audit, and compliance systems to track activities, manage documentation, and enhance reporting</li><li>Assist with ongoing risk assessments and control monitoring initiatives</li></ul>
  • 2026-10-22T00:00:00Z
Director of Data Science & Analytics
  • Brookfield, WI
  • onsite
  • Permanent / Full Time
  • 205000 - 240000 USD / Yearly
  • Transform the Future of AI, Analytics &amp; Intelligent Automation <br> We are seeking a highly innovative Director of Data Science &amp; Analytics to lead the next evolution of an enterprise&#39;s analytics and AI capabilities. This leadership opportunity will oversee Business Intelligence, Data Science, and emerging AI-focused engineering functions while helping shape the company&#39;s long-term data and AI strategy. This role is ideal for somebody who thrives at the intersection of business strategy, technology, and talent development. You&#39;ll have the opportunity to build and scale high-performing teams, influence executive decision-making, and drive meaningful business outcomes through advanced analytics, machine learning, and AI-enabled solutions. <br> Responsibilities: • Define and advance the enterprise vision for analytics and AI in partnership with senior leadership, balancing immediate business needs with long-range capability building. • Help experienced the organization&#39;s approach to AI adoption, intelligent workflows, and advanced decision support capabilities. • Direct and develop managers and technical teams across business intelligence, data science, and applied engineering functions embedded within cross-functional operating groups. • Expand the use of machine learning, forecasting, optimization, and advanced analytical methods to solve business problems and generate measurable value. • Elevate reporting and analytics practices by improving semantic layers, strengthening data trust, and enabling effective self-service access for business users. • Build and scale a team focused on delivering end-to-end AI applications, including generative AI and agent-based solutions. • Partner with leaders across commercial, operations, product, and corporate areas to prioritize initiatives, align resources, and guide investment decisions. • Establish governance for model development, MLOps, validation practices, reusable code assets, and quality standards across analytics delivery. • Help shape platform direction and solution delivery across environments such as Azure and Databricks while supporting scalable analytics architecture. • Lead organizational planning efforts including hiring strategy, succession planning, team design, and capability development as the function grows. • Foster a high-accountability culture that encourages experimentation, rapid learning, continuous improvement, and strong ownership of outcomes.
  • 2026-11-05T00:00:00Z
Identity Access Analyst
  • Glens Falls, NY
  • onsite
  • Permanent / Full Time
  • 75000 - 85000 USD / Yearly
  • <p>We are looking for an experienced Identity Access Analyst to join our Information Technology team in Glens Falls, New York. This position plays a key role in advancing identity and access practices, improving control over user permissions, and supporting audit and cybersecurity objectives across the organization. The ideal candidate brings strong expertise in access governance, authentication technologies, and secure account administration within enterprise environments.</p>
  • 2026-10-14T00:00:00Z
ITVM Vendor Management Data Analyst
  • Cedar Rapids, IA
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <p>We are looking for an experienced IT Vendor Management Data Analyst to support strategic vendor operations and strengthen supplier performance across the organization in Cedar Rapids, Iowa. This Long-term Contract position is ideal for a business analyst who can combine data-driven oversight with strong partnership management, helping IT leadership make informed sourcing, contract, and performance decisions. The role focuses on vendor governance, service measurement, financial accuracy, and cross-functional collaboration with procurement, legal, and senior stakeholders.</p><p><br></p><p>Responsibilities:</p><p>• Advise IT leadership on sourcing approaches and vendor accountability models that improve service delivery, cost control, and operational effectiveness.</p><p>• Manage relationships with key technology vendors, ensuring expectations are clearly defined and partnerships remain productive, responsive, and aligned with business goals.</p><p>• Collaborate with senior leaders to support negotiations involving pricing, service commitments, contractual terms, and vendor performance concerns.</p><p>• Establish and maintain service level metrics, reporting standards, and review processes to evaluate vendor results and drive corrective actions when needed.</p><p>• Analyze vendor performance information and trend data regularly, then communicate findings and improvement opportunities to internal stakeholders and external partners.</p><p>• Lead or support vendor selection activities by shaping evaluation criteria, coordinating RFP efforts, and partnering with procurement teams on decision-making processes.</p><p>• Work with legal, finance, and operational teams to move contracts from negotiation through execution while maintaining oversight of vendor obligations after signing.</p><p>• Review invoices, credits, penalties, and reconciliations for alignment with contractual terms, and assist with onboarding, payment processing, and budget-related vendor reporting.</p><p>• Identify opportunities to improve vendor outcomes year over year by influencing strategic suppliers and encouraging alignment with organizational priorities.</p>
  • 2026-11-11T00:00:00Z
Process Improvement/Re-Engineering Analyst
  • Bloomington, MN
  • onsite
  • Temporary / Contract
  • 51.4615 - 59.587 USD / Hourly
  • <p>We are looking for a detail-oriented Process Improvement/Re-Engineering Analyst to support accounting and finance operations. This Long-term Contract position focuses on improving financial workflows, increasing automation, and strengthening reporting through advanced data analysis and process redesign. The ideal candidate brings strong Excel expertise, a solid understanding of accounting operations, and the ability to turn complex financial information into practical, scalable solutions.</p><p><br></p><p>Responsibilities:</p><p>• Design and implement automated approaches that simplify close activities, reconciliations, variance reviews, and recurring financial reporting.</p><p>• Examine high-volume financial data to uncover trends, exceptions, control gaps, and opportunities to improve operational efficiency.</p><p>• Evaluate manual accounting tasks and create streamlined solutions that reduce repetitive work while improving accuracy and consistency.</p><p>• Use AI-enabled tools such as Microsoft Copilot, Claude, and related technologies to enhance reporting, documentation, reconciliation, and workflow execution.</p><p>• Build analytical models and reporting tools using Excel, Power Query, Power Pivot, and other appropriate automation platforms.</p><p>• Support data extraction, validation, and reporting efforts to improve the quality and usability of accounting and finance information.</p><p>• Partner with controllers, accounting leaders, finance teams, and audit stakeholders to refine processes and strengthen internal controls.</p><p>• Document current and future-state workflows, establish process maps, and recommend practical improvements for ongoing optimization.</p><p>• Contribute to audit requests, compliance-related activities, financial reporting projects, and other special initiatives as needed.</p>
  • 2026-10-29T00:00:00Z
Payroll Specialist Analyst
  • Trussville, AL
  • onsite
  • Permanent / Full Time
  • 70000 - 75000 USD / Yearly
  • <p>Robert Half is partnering with a well-established organization in Trussville, Alabama, to identify a detail-oriented and analytical <strong>Payroll Specialist Analyst</strong> to join its team.</p><p>This position will work closely with the Accounting, Payroll, and Human Resources departments, supporting payroll administration, workforce management, reporting, and system optimization.</p><p>The ideal candidate will have <strong>hands-on UKG Pro (UltiPro) experience</strong>, strong analytical abilities, and a passion for payroll accuracy, compliance, and process improvement.</p><p>Key Responsibilities</p><ul><li>Administer and maintain UKG Pro (UltiPro) Payroll and Workforce Management systems.</li><li>Support accurate and timely payroll processing while ensuring compliance with applicable regulations and company policies.</li><li>Monitor and audit employee timecards, attendance records, leave balances, scheduling information, and payroll data.</li><li>Identify, research, and resolve payroll discrepancies, timekeeping issues, and system-related errors.</li><li>Assist with system configuration, including earnings, deductions, accruals, pay rules, and labor allocations.</li><li>Analyze payroll, labor, attendance, and workforce data to identify trends, discrepancies, and opportunities for process improvement.</li><li>Develop and maintain payroll reports, workforce analytics, and management reporting.</li><li>Perform regular audits to ensure data accuracy, integrity, and compliance.</li><li>Troubleshoot UKG system issues and assist with system upgrades, testing, and implementation of new functionality.</li><li>Partner with HR, Benefits, Accounting, and Operations teams to resolve payroll and employee-related matters.</li><li>Provide guidance and support to employees and managers regarding payroll, timekeeping, and workforce management processes.</li><li>Assist with year-end payroll activities, including W-2 processing, reconciliations, and audits.</li><li>Maintain system security, user access permissions, workflows, and employee records.</li><li>Support compliance with federal, state, and local payroll laws and wage and hour regulations.</li></ul><p><br></p><p><br></p>
  • 2026-11-06T00:00:00Z
Supply Chain / Sourcing Analyst
  • King of Prussia, PA
  • onsite
  • Temporary / Contract
  • 30 - 30 USD / Hourly
  • <p>We are looking for a Supply Chain / Sourcing Analyst to support strategic procurement initiatives for an organization in King of Prussia, Pennsylvania. This Long-term contract position will work closely with category leaders and internal partners to guide sourcing activities from early planning through supplier selection and contracting. The role combines market research, commercial analysis, stakeholder coordination, and procurement process support to help drive informed purchasing decisions and strong supplier outcomes.</p><p><br></p><p>Responsibilities:</p><p>• Coordinate sourcing projects across services and indirect procurement categories, ensuring activities move forward on schedule and align with business objectives.</p><p>• Research supply markets, evaluate vendor landscapes, and summarize industry insights to support sound sourcing strategies.</p><p>• Review supplier proposals, pricing models, and service capabilities to help identify competitive and suitable vendor options.</p><p>• Assist internal teams with bid events, supplier communications, evaluation processes, and recommendation development throughout the procurement lifecycle.</p><p>• Partner with category managers and business stakeholders to gather requirements, clarify sourcing needs, and support decision-making.</p><p>• Contribute to negotiation preparation, contract development support, and documentation needed for supplier selection and award activities.</p><p>• Maintain organized procurement records, sourcing files, and supporting materials in accordance with established policies and governance standards.</p><p>• Prepare reports, presentations, and analytical summaries using tools such as Excel and PowerPoint to communicate sourcing progress and findings.</p>
  • 2026-11-05T00:00:00Z
Data Engineer
  • Saddle Brook, NJ
  • onsite
  • Temporary to Hire
  • 75 - 75 USD / Hourly
  • <p>We are looking for a Data Engineer to join a Chemicals Manufacturing organization in New Jersey in a contract-to-permanent capacity. This role focuses on creating reliable, secure, and scalable data solutions that connect operational and business systems to enterprise reporting, analytics, and advanced data use cases. The position will work across IT and operational environments to support trusted data delivery for functions such as finance, supply chain, operations, commercial teams, and corporate analytics.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and maintain large-scale data pipelines that move information from enterprise and operational source systems into structured data layers for analytics and reporting.</p><p>• Develop curated and semantic data models that support business intelligence platforms, downstream applications, and data-driven decision-making across the organization.</p><p>• Connect manufacturing and operational technology data sources using approved integration methods while coordinating with plant and controls teams to protect system reliability and safety.</p><p>• Establish data quality standards through validation rules, automated testing, and monitoring processes that improve accuracy, completeness, and timeliness of delivered datasets.</p><p>• Implement observability practices such as lineage tracking, alerting, and operational runbooks to strengthen support processes and reduce production issues.</p><p>• Apply security and governance controls including access management, secrets handling, data classification, and retention practices aligned with enterprise policies.</p><p>• Automate deployment workflows with Git-based CI/CD processes to promote consistent releases across environments and improve delivery reliability.</p><p>• Tune platform performance and resource usage by optimizing processing strategies, scaling approaches, and storage patterns to balance speed and cost.</p><p>• Partner with BI, data, and IT stakeholders to define data contracts, document solutions, and provide operational knowledge transfer to internal teams and external partners.</p><p><br></p><p><br></p><p>02710-0013476075</p><p><br></p>
  • 2026-10-22T00:00:00Z
Data Engineer
  • Philadelphia, PA
  • remote
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • We are looking for a Data Engineer to support the design, development, and optimization of modern data solutions in Philadelphia, Pennsylvania. This Long-term Contract position focuses on building reliable pipelines and delivering high-quality data for healthcare and regulatory reporting needs. The ideal candidate brings strong experience with Azure-based data engineering, Python, SQL, and large-scale data processing, with the ability to work across complex clinical and patient-quality datasets.<br><br>Responsibilities:<br>• Design and maintain scalable data pipelines that ingest, transform, and deliver data from clinical and operational sources for analytics and reporting.<br>• Develop data engineering solutions using Azure services, Databricks, Spark, and Python to improve performance, reliability, and maintainability.<br>• Work with healthcare-related datasets, including patient quality measures, readmissions, vital sign information, and other clinical reporting domains.<br>• Explore and interpret Epic Clarity tables to identify relevant source data and support accurate downstream consumption.<br>• Build and optimize ETL workflows that move data across platforms while preserving data integrity and compliance expectations.<br>• Partner with analysts, reporting teams, and external stakeholders to provide data needed for quality metrics and regulatory submissions.<br>• Implement data validation and monitoring processes to ensure completeness, consistency, and accuracy across critical datasets.<br>• Support file-based data exchange and integration processes, including secure FTP-based transfers where required.
  • 2026-11-10T00:00:00Z
Data Engineer
  • Jacksonville, FL
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <p>We are seeking a <strong>Senior Data Engineer</strong> to join a growing data and analytics team responsible for building modern, cloud-based data platforms that drive business intelligence, reporting, and advanced analytics. This role is ideal for someone with deep expertise in <strong>Microsoft Azure</strong>, <strong>Microsoft Fabric</strong>, and modern data engineering practices.</p><p>You will be responsible for designing and developing scalable data solutions, optimizing data pipelines, and helping shape the organization&#39;s data architecture strategy. The ideal candidate is both hands-on and strategic, with experience building enterprise data platforms in Azure and Fabric environments.</p><p>Responsibilities</p><ul><li>Design, develop, and maintain enterprise data solutions using <strong>Microsoft Fabric</strong> and <strong>Azure Data Services</strong>.</li><li>Build and optimize scalable ETL/ELT pipelines for structured and unstructured data sources.</li><li>Develop and manage data lakes, lakehouses, warehouses, and semantic models.</li><li>Design data integration solutions using Fabric Data Factory, Dataflows, and Azure Data Factory.</li><li>Implement data governance, security, quality, and monitoring frameworks.</li><li>Partner with business stakeholders to understand reporting and analytics requirements.</li><li>Support Power BI developers by building trusted, high-quality data models and datasets.</li><li>Optimize data storage, query performance, and platform scalability.</li><li>Develop data architecture standards, best practices, and documentation.</li><li>Collaborate with application development teams to integrate operational systems with enterprise analytics platforms.</li><li>Support real-time and batch data processing initiatives.</li><li>Participate in architecture reviews, code reviews, and technical leadership activities.</li></ul><p><br></p>
  • 2026-11-05T00:00:00Z
Data Engineer
  • St. Paul, MN
  • onsite
  • Temporary to Hire
  • 57 - 66 USD / Hourly
  • <p>We are looking for a senior Data Engineer. This position combines architectural leadership with hands-on development across a modern cloud data ecosystem, with a strong focus on building dependable, scalable, and efficient data solutions. The role will help shape engineering standards, strengthen platform governance, and support high-quality data delivery for enterprise analytics and emerging AI-driven use cases.</p><p><br></p><p>Responsibilities:</p><p>• Provide technical direction to engineering teams and guide the successful execution of complex data platform initiatives.</p><p>• Create and enhance robust data pipelines and reusable data products that support scalable analytics and reporting needs.</p><p>• Develop and refine cloud-based data solutions using Snowflake, dbt, Fivetran, and Azure services.</p><p>• Build automation-first, metadata-driven processing frameworks to improve consistency, maintainability, and operational efficiency.</p><p>• Design curated data structures using established modeling approaches such as Data Vault, Kimball, and dimensional modeling.</p><p>• Improve platform performance through tuning, cost management, and scalability planning across data workloads.</p><p>• Establish and reinforce best practices for data quality, governance, lineage tracking, observability, and CI/CD delivery.</p><p>• Support Azure-based integration, storage, compute, and DevOps capabilities required for reliable end-to-end data operations.</p><p>• Enable data foundations that can support advanced analytics, AI/ML initiatives, and modern analytical architectures.</p>
  • 2026-11-10T00:00:00Z
Data Engineer
  • Memphis, TN
  • onsite
  • Temporary / Contract
  • 70 - 85 USD / Hourly
  • We are seeking a highly skilled Big Data Engineer to design, build, and optimize scalable data platforms that support enterprise analytics, reporting, machine learning, and business intelligence initiatives. The ideal candidate will have experience developing large-scale data pipelines, managing cloud-based data ecosystems, and implementing high-performance data solutions that enable data-driven decision-making across the organization. Key Responsibilities Design, develop, and maintain large-scale data processing systems and data pipelines. Build and optimize ETL/ELT workflows for structured, semi-structured, and unstructured data sources. Develop scalable solutions using distributed computing frameworks such as Apache Spark, Hadoop, and Kafka. Collaborate with Data Scientists, Analysts, Architects, and business stakeholders to support analytical and operational requirements. Integrate data from multiple internal and external systems while ensuring data quality and integrity. Design and implement cloud-native data solutions within AWS, Azure, or Google Cloud environments. Monitor, troubleshoot, and improve the performance, reliability, and scalability of data platforms. Implement data governance, security, compliance, and access control standards. Support real-time and batch data processing requirements. Document architectures, workflows, and technical specifications to ensure operational excellence.
  • 2026-11-09T00:00:00Z
Data Engineer
  • Memphis, TN
  • onsite
  • Permanent / Full Time
  • 100000 - 120000 USD / Yearly
  • <p><strong>Data Pipeline Development &amp; Integration</strong></p><ul><li>Design, build, and maintain scalable ETL/ELT pipelines to extract, transform, and load data from multiple sources.</li><li>Develop automated data integration solutions supporting enterprise applications, analytics, and reporting.</li><li>Integrate structured and semi-structured data from APIs, relational databases, cloud platforms, and third-party systems.</li><li>Develop batch and real-time data processing solutions.</li><li>Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks.</li></ul><p><strong>Data Warehousing &amp; Architecture</strong></p><ul><li>Design and optimize enterprise data warehouses, data lakes, and lakehouse architectures.</li><li>Develop efficient data models, schemas, and transformations to support business intelligence and analytics.</li><li>Build and maintain cloud-based data solutions using AWS, Microsoft Azure, or Google Cloud.</li><li>Optimize SQL queries, database performance, and data processing workloads.</li><li>Implement data partitioning, indexing, and storage optimization strategies.</li></ul><p><strong>Data Quality &amp; Governance</strong></p><ul><li>Develop automated data validation, monitoring, and quality assurance processes.</li><li>Ensure data accuracy, consistency, reliability, and availability across enterprise systems.</li><li>Implement data governance standards, access controls, and security best practices.</li><li>Maintain documentation for data pipelines, architecture, and transformation logic.</li><li>Support compliance with organizational data privacy and security requirements.</li></ul><p><strong>Cloud Engineering &amp; Automation</strong></p><ul><li>Develop and maintain cloud-native data pipelines and processing workflows.</li><li>Utilize orchestration tools such as Apache Airflow, Azure Data Factory, or similar technologies.</li><li>Implement CI/CD practices for data engineering workflows.</li><li>Automate data processing, monitoring, and infrastructure deployment.</li><li>Collaborate with DevOps and infrastructure teams to improve scalability and reliability.</li></ul><p><strong>Analytics &amp; AI Support</strong></p><ul><li>Partner with business intelligence and analytics teams to deliver reliable datasets for reporting and dashboards.</li><li>Develop curated data models supporting Power BI, Tableau, and other visualization platforms.</li><li>Build data pipelines supporting machine learning, predictive analytics, and AI applications.</li><li>Collaborate with AI engineers and data scientists to prepare, transform, and deliver data for model development and production applications.</li><li>Identify opportunities to improve business processes through better data integration and automation.</li></ul><p><br></p><p><br></p>
  • 2026-11-03T00:00:00Z
Data Engineer
  • Campbell, CA
  • remote
  • Temporary to Hire
  • 60 - 82 USD / Hourly
  • We are looking for an experienced Data Engineer to strengthen and scale an enterprise data environment in California. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building reliable cloud-based data solutions, shaping reporting-ready datasets, and connecting information from diverse business platforms. The role offers meaningful ownership across data modeling, pipeline development, and analytics enablement while working closely with stakeholders in a collaborative setting.<br><br>Responsibilities:<br>• Create and refine scalable data structures that support reporting, analytics, and long-term platform growth.<br>• Develop and maintain curated datasets that are dependable, well-organized, and ready for business intelligence use.<br>• Connect data from multiple enterprise applications and align it into a consistent, usable format.<br>• Build and manage mappings, reference relationships, and cross-system data associations to improve data consistency.<br>• Enhance existing ingestion and transformation workflows to support expanding business and analytics needs.<br>• Strengthen platform stability through better monitoring, testing practices, and operational improvements.<br>• Tune and optimize data processing performance while contributing to ongoing platform enhancements.<br>• Produce clear documentation for lineage, transformation rules, and support procedures to improve maintainability.<br>• Collaborate with business partners to deliver high-confidence data assets that support reporting and decision-making.<br>• Help establish engineering standards, documentation practices, and technical guidelines across the data platform.
  • 2026-11-09T00:00:00Z
Data Engineer
  • Mckinney, TX
  • onsite
  • Temporary to Hire
  • 63.3365 - 73.337 USD / Hourly
  • We are looking for a Data Engineer to join a confidential enterprise organization in McKinney, Texas and help advance a large-scale cloud data environment. This contract opportunity with potential for a permanent role focuses on building and refining a modern lakehouse platform in Azure, with a strong emphasis on Azure Databricks and scalable data engineering practices. The role will work across technical and business teams to create dependable, secure, and high-performing data solutions that support analytics and decision-making.<br><br>Responsibilities:<br>• Create and maintain robust data pipelines in Azure Databricks using Spark-based engineering approaches to support large-volume processing needs.<br>• Build ingestion frameworks that bring data from APIs, event streaming platforms, cloud storage, and enterprise systems into structured lakehouse layers.<br>• Apply lakehouse design standards across bronze, silver, and gold environments to improve data usability, consistency, and downstream reporting value.<br>• Enhance platform efficiency by tuning Spark workloads, refining storage strategies, and improving processing performance and cost management.<br>• Connect Databricks solutions with Azure services such as Data Factory, Synapse, Data Lake Storage, Event Hub, Key Vault, and Azure DevOps.<br>• Establish secure data access patterns through governance controls, identity-based access, and protection measures such as masking and policy alignment.<br>• Partner with architects, analysts, data scientists, and business stakeholders to deliver trusted datasets, metrics, and KPI-ready data assets.<br>• Strengthen data reliability by implementing validation checks, monitoring, lineage tracking, alerting, and recovery processes for critical workflows.<br>• Contribute technical leadership through code reviews, engineering guidance, and mentoring support for other members of the data team.
  • 2026-11-09T00:00:00Z
Data Engineer
  • Atlanta, GA
  • remote
  • Temporary / Contract
  • 47.5 - 55 USD / Hourly
  • <p>We are looking for a Data Engineer to support data-driven initiatives for a services environment in Southern California. This Long-term Contract position focuses on building reliable data pipelines, improving data availability, and enabling scalable processing for analytics and operational needs. The ideal candidate brings strong hands-on experience with modern data engineering tools and can work across large data sets with accuracy and efficiency.</p><p><br></p><p><strong>Role :</strong></p><ul><li>Design, develop, maintain, and optimize business intelligence solutions, ETL workflows, reporting systems, and data integration processes.</li><li>Collaborate with business, analytics, and technical teams to gather requirements and deliver reporting and analytics solutions.</li><li>Develop and maintain data models, SQL scripts, stored procedures, dashboards, and reporting solutions.</li><li>Build, optimize, and support ETL pipelines across on-premises and cloud environments.</li><li>Troubleshoot and resolve complex reporting, data quality, performance, and integration issues.</li><li>Validate reporting logic, data transformations, and reporting accuracy.</li><li>Perform performance tuning for SQL queries, stored procedures, ETL workflows, and reporting platforms.</li><li>Participate in architecture discussions and provide technical recommendations aligned with business objectives.</li><li>Create and maintain technical documentation including solution designs, data mappings, and operational procedures.</li><li>Participate in code reviews and enforce development, reporting, and data governance standards.</li><li>Mentor junior developers through technical guidance and knowledge-sharing activities.</li><li>Support Agile delivery activities including sprint planning, backlog refinement, and project execution.</li><li>Collaborate with stakeholders and leadership teams to support business intelligence initiatives.</li><li>Drive continuous improvement initiatives related to reporting quality, analytics performance, and operational efficiency.</li></ul><p><br></p><p><br></p><p><br></p>
  • 2026-10-28T00:00:00Z
Data Engineer
  • Commerce, CA
  • onsite
  • Permanent / Full Time
  • 140000 - 160000 USD / Yearly
  • <p>Lead Data Engineer</p><p>Salary: Up to $160,000 Location:</p><p>On-Site | South Los Angeles Area</p><p>Employment Type: Full-Time</p><p><br></p><p>Build the Foundation for Enterprise Analytics</p><p><br></p><p>We are seeking a Lead Data Engineer to drive the architecture, modernization, and expansion of a growing enterprise data platform built within the Microsoft Azure ecosystem. This is a highly visible technical leadership role where you&#39;ll help shape the future of data across multiple business functions by building scalable, secure, and high-performing data solutions.</p><p><br></p><p>If you&#39;re passionate about Databricks, cloud data platforms, and mentoring engineering teams while remaining hands-on with development, this is an opportunity to make a significant impact.</p><p><br></p><p>What You&#39;ll Do</p><ul><li>Lead the design, implementation, and optimization of an enterprise Azure Databricks Lakehouse environment utilizing Bronze, Silver, and Gold data layers.</li><li>Architect and execute migrations from SQL Server and legacy platforms into modern cloud-native data solutions.</li><li>Develop and optimize large-scale ETL/ELT pipelines supporting operational reporting, business intelligence, advanced analytics, and data science initiatives.</li><li>Integrate data from multiple enterprise systems, APIs, operational platforms, and third-party sources.</li><li>Establish best practices for data engineering, data modeling, testing, CI/CD, monitoring, governance, and production support.</li><li>Implement and maintain data governance frameworks, security controls, lineage tracking, and access management.</li><li>Lead code reviews, technical design discussions, and engineering standards across the data team.</li><li>Mentor and support data engineers while fostering a culture of technical excellence.</li><li>Partner closely with business stakeholders, analysts, and data scientists to deliver trusted, scalable data products.</li></ul><p>For immediate consideration, apply now and direct message Reid Gormly on LINKEDIN</p>
  • 2026-11-04T00:00:00Z
Data Engineer
  • Los Angeles, CA
  • onsite
  • Permanent / Full Time
  • 150000 - 220000 USD / Yearly
  • <p>We are looking for a Data Engineer to build and enhance reporting and data solutions that help teams make informed business decisions across the organization. This role partners with groups such as asset management, acquisitions, accounting, and HR to translate business needs into scalable dashboards, reliable data pipelines, and actionable insights. Based in Los Angeles, California, the position is ideal for someone who combines strong technical depth with the ability to explain findings clearly to a range of stakeholders.</p><p><br></p><p>Responsibilities:</p><p>• Create and refine dashboards, reports, and automated data outputs using tools such as Python, Excel, and Power BI to support operational and strategic reporting needs.</p><p>• Examine large and varied datasets to uncover meaningful trends, performance indicators, and opportunities for improvement.</p><p>• Guide and support entry-level BI team members by reviewing work, sharing best practices, and contributing to their career growth.</p><p>• Partner with stakeholders across multiple business functions to define reporting goals, gather technical requirements, and deliver effective data solutions.</p><p>• Translate technical concepts and analytical results into clear recommendations for non-technical audiences.</p><p>• Contribute to cross-department initiatives that improve data availability, reporting consistency, and overall usability of business information.</p><p>• Develop and maintain queries, procedures, and data workflows to support extraction, transformation, and loading activities across reporting environments.</p><p>• Monitor data quality through validation checks, issue resolution, and routine audits to maintain accuracy and reliability.</p><p>• Administer BI platforms with attention to performance, access control, and system stability while assisting users with adoption and training.</p><p><br></p><p>For immediate consideration, apply now and direct message Reid Gormly on LinkedIn</p>
  • 2026-10-28T00:00:00Z
Data Engineer
  • Salt Lake City, UT
  • onsite
  • Permanent / Full Time
  • 90000 - 110000 USD / Yearly
  • We are looking for a Data Engineer to join our team in Salt Lake City, Utah and help build reliable, scalable data solutions that support key business initiatives. This role is ideal for someone who combines strong hands-on engineering ability with sound technical judgment and can guide decisions across architecture, delivery, and system improvement. The right candidate brings experience working with modern cloud services, data modeling practices, and collaborative development environments while communicating effectively with both technical and business partners.<br><br>Responsibilities:<br>• Lead the technical direction for a core data domain, making thoughtful architecture decisions that support scalability, reliability, and long-term maintainability.<br>• Design, build, and enhance data pipelines and platform components using Python, SQL, DBT, and cloud-based services within AWS environments.<br>• Develop data models aligned with Kimball methodology to support analytics, reporting, and downstream business use cases.<br>• Break large initiatives into clear technical workstreams, estimate effort, and drive execution against timelines while monitoring progress and addressing delivery risks.<br>• Work closely with cross-functional partners to convert business goals into practical data solutions and provide guidance on technical tradeoffs.<br>• Establish and reinforce engineering standards through code reviews, design discussions, and implementation of best practices for quality and performance.<br>• Identify areas of technical debt, prioritize remediation efforts, and balance platform stability with the delivery of new capabilities.<br>• Implement monitoring, alerting, and maintenance strategies that improve system health, data reliability, and operational visibility.<br>• Assess emerging tools and approaches to recommend improvements that strengthen system efficiency, searchability, and maintainability.
  • 2026-11-11T00:00:00Z
Data Engineer
  • Princeton, NJ
  • onsite
  • Permanent / Full Time
  • 130000 - 150000 USD / Yearly
  • We are looking for a Data Engineer to help build reliable data solutions that support reporting, analytics, and day-to-day business decisions in Princeton, New Jersey. This position focuses on creating scalable data flows, improving platform performance, and organizing data for efficient access across teams. The ideal candidate brings strong technical depth in pipeline development, database technologies, and cloud-based data environments.<br><br>Responsibilities:<br>• Build, enhance, and support scalable ETL workflows that move and transform data from multiple sources into trusted analytical platforms.<br>• Create and refine data models, storage structures, and warehouse solutions to improve accessibility, efficiency, and long-term maintainability.<br>• Monitor data processes to identify issues, strengthen reliability, and maintain high standards for accuracy, consistency, and performance.<br>• Partner with analytics, engineering, and business stakeholders to understand data needs and deliver practical data solutions.<br>• Optimize SQL Server and related data systems to support efficient querying, integration, and operational stability.<br>• Implement and maintain orchestration processes using tools such as Airflow or comparable workflow technologies.<br>• Contribute to cloud-based data infrastructure initiatives across platforms such as Azure and other enterprise cloud environments.
  • 2026-11-03T00:00:00Z
Data Engineer
  • Bridgewater, NJ
  • onsite
  • Temporary / Contract
  • 39.5865 - 45.837 USD / Hourly
  • We are looking for a Data Engineer to support healthcare-focused data initiatives in Bridgewater, New Jersey. This Long-term Contract position is ideal for someone who enjoys building reliable data pipelines, working with large-scale datasets, and improving the flow of information across technical environments. The role will contribute to scalable data solutions that help teams access, process, and analyze critical business data efficiently.<br><br>Responsibilities:<br>• Design and maintain scalable data pipelines to collect, transform, and deliver data from multiple sources.<br>• Develop ETL workflows that improve data quality, consistency, and availability for reporting and analytics needs.<br>• Use Python and Apache Spark to process high-volume datasets and optimize performance across data engineering tasks.<br>• Work with Hadoop-based environments to manage distributed data processing and storage effectively.<br>• Integrate streaming and batch data using Apache Kafka to support timely and dependable data movement.<br>• Partner with analysts, developers, and business stakeholders to translate data needs into practical engineering solutions.<br>• Monitor pipeline health, troubleshoot processing issues, and implement improvements that increase reliability and efficiency.
  • 2026-10-29T00:00:00Z
Data Engineer
  • Atlanta, GA
  • onsite
  • Temporary / Contract
  • 65 - 75 USD / Hourly
  • <p>For our client, we are seeking a Data Engineer to design, develop, and maintain scalable data pipelines, integrations, and enterprise data platforms. This individual will work closely with data analysts, architects, and business stakeholders to ensure reliable data ingestion, transformation, storage, and accessibility for reporting, analytics, and business intelligence initiatives.</p>
  • 2026-10-23T00:00:00Z
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