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373 results for Business Intelligence Analyst jobs
- Los Angeles, CA
- remote
- Temporary / Contract
- 28 - 32 USD / Hourly
- <p>We are looking for a Sales Analyst to support procurement and sales coordination activities for a fully remote temporary position that will last through February 2027 and possibly longer. This role will help manage purchasing workflows, maintain accurate order records, and work closely with internal teams to keep daily operations running smoothly. The ideal candidate brings strong organizational skills, attention to detail, and the ability to balance supplier interactions with reporting and department support. Advanced Excel skills are required. </p><p><br></p><p>Responsibilities:</p><p>• Coordinate purchasing tasks from request intake through order completion, ensuring timelines and documentation remain accurate.</p><p>• Prepare, review, and track purchase orders while confirming pricing, quantities, and delivery expectations with vendors.</p><p>• Support day-to-day activities within the purchasing department and help maintain efficient operational processes.</p><p>• Work with sales and merchant services contacts to align purchasing actions with business needs and customer commitments.</p><p>• Monitor order status, follow up on open items, and address issues related to fulfillment, invoicing, or supplier communication.</p><p>• Maintain organized procurement records and generate reports that support visibility into purchasing performance and trends.</p><p>• Use Power BI and related tools to assist with reporting, analysis, and presentation of purchasing data.</p><p>• Collaborate with cross-functional partners to improve purchasing activities and support departmental objectives.</p>
- 2026-11-09T00:00:00Z
- Simpsonville, SC
- onsite
- Temporary to Hire
- 22.8 - 26.4 USD / Hourly
- <p>We are looking for a detail-oriented Data Specialist to support operations through accurate reporting, data analysis, and cross-functional coordination in South Carolina. This contract position with permanent potential is ideal for someone who enjoys working with spreadsheets, maintaining data integrity, and helping improve supply chain visibility through organized, reliable information. The selected candidate will play an important role in tracking logistics activity, supporting distribution processes, and communicating clearly with internal stakeholders.</p><p><br></p><p>Responsibilities:</p><p>• Build and manage Excel-based reports using functions such as VLOOKUP to organize large data sets and present findings clearly.</p><p>• Support data integration activities between reporting tools and operational platforms to improve consistency and accessibility.</p><p>• Monitor product and transportation cost information, helping teams track expenses and maintain reliable cost-related records.</p><p>• Review data for errors or missing details and resolve issues through careful research, follow-up, and documentation.</p><p>• Assist with logistics-related process updates and system-related data changes as needed while maintaining continuity in daily reporting activities.</p>
- 2026-11-12T00:00:00Z
- Chanhassen, MN
- onsite
- Temporary / Contract
- 18 - 20 USD / Hourly
- <p>Job Summary</p><p>We are seeking a detail-oriented Data Specialist to join a growing organization and support critical data management and administrative functions. This role is responsible for accurately entering, updating, maintaining, and verifying information across multiple systems while ensuring data integrity and confidentiality. The ideal candidate is highly organized, possesses strong attention to detail, and thrives in a fast-paced environment where accuracy and efficiency are essential. This position offers an opportunity to contribute to operational success by supporting reporting, record maintenance, and administrative processes.</p><p><br></p><p>Responsibilities</p><ul><li>Enter, update, and maintain data within company databases and internal systems with a high degree of accuracy.</li><li>Review records for completeness and accuracy, identifying and correcting discrepancies as needed.</li><li>Process large volumes of information while meeting productivity and quality standards.</li><li>Generate routine reports and assist with data audits as requested.</li><li>Organize and manage digital and physical documentation.</li><li>Support administrative projects, recordkeeping initiatives, and operational tasks.</li><li>Respond to data-related inquiries and research missing or incomplete information.</li><li>Assist with general office and administrative duties as needed.</li></ul><p><br></p>
- 2026-11-05T00:00:00Z
- Virginia Beach, VA
- onsite
- Permanent / Full Time
- 90000 - 100000 USD / Yearly
- We are looking for a Compensation & Benefits Specialist to support total rewards operations and workforce analytics for a transportation and shipping organization in Virginia Beach, Virginia. This role combines benefits administration, compensation analysis, HR data reporting, and budget support to help leaders make informed workforce decisions. The ideal candidate brings strong analytical ability, advanced Excel skills, and hands-on experience working with HR systems to improve accuracy, compliance, and the overall employee experience.<br><br>Responsibilities:<br>• Oversee day-to-day administration of medical, wellness, retirement, and leave programs for employees in Virginia Beach, Virginia, ensuring timely enrollment processing, accurate records, and effective coordination with external vendors.<br>• Direct the open enrollment cycle from preparation through completion, including employee communication materials, system validation, reporting, and follow-up reviews to confirm data accuracy.<br>• Manage benefit processes such as 401(k) participation and leave administration while maintaining compliance with applicable employment laws and program requirements.<br>• Prepare recurring and annual benefits reports, support audits, and complete survey submissions with a high level of accuracy and organization.<br>• Evaluate total rewards processes and recommend enhancements that strengthen service delivery, improve efficiency, and create a better employee experience.<br>• Act as a key HR systems resource by maintaining data quality, supporting reporting needs, assisting with testing, and identifying opportunities to streamline workflows within the HRIS environment.<br>• Conduct compensation analysis through market pricing, role benchmarking, internal equity review, and salary data evaluation to support pay decisions and annual reward programs.<br>• Produce workforce and HR metrics related to hiring, onboarding, retention, attrition, labor costs, and exit trends to guide operational and strategic planning.<br>• Assist with payroll-related analysis, budget preparation, and ongoing tracking of personnel costs to support financial planning and resource management.
- 2026-10-23T00:00:00Z
- New York, NY
- onsite
- Permanent / Full Time
- 130000 - 150000 USD / Yearly
- <p>Join a rapidly growing organization where you'll partner with business leaders to drive financial strategy, support growth initiatives, and provide insights that influence key decisions. This highly visible role offers the opportunity to work across multiple functions, translating complex financial data into clear recommendations that improve performance and profitability. </p><p><br></p><p><strong>Key Responsibilities: </strong></p><ul><li> Develop and manage sales, margin, and profitability forecasts to support monthly, quarterly, and annual planning. </li><li>Partner with teams across marketing, commerce, merchandising, operations, and accounting to evaluate performance, identify risks, and uncover growth opportunities. </li><li>Analyze business trends, market dynamics, and financial results to deliver actionable insights and recommendations to leadership. </li><li>Lead recurring reporting processes, including KPI tracking, forecast updates, and operating expense reviews. </li><li>Collaborate with accounting and data teams to enhance the accuracy, transparency, and reliability of financial reporting. </li><li>Prepare executive-level presentations, forecasts, and strategic analyses for senior leadership and board discussions. </li><li>Support high-priority business initiatives, long-range planning efforts, and cross-functional strategic projects. </li><li>Drive process improvements that enhance forecasting, reporting, and overall finance team efficiency. </li></ul><p>This is an excellent opportunity for someone who enjoys partnering with the business, solving complex problems, and helping shape strategic decision-making in a fast-paced environment.</p>
- 2026-10-21T00:00:00Z
- Houston, TX
- onsite
- Permanent / Full Time
- 100000 - 120000 USD / Yearly
- We are looking for an experienced, detail-oriented finance specialist to support planning, reporting, and business decision-making for a growing manufacturing organization in Houston, Texas. This role will partner with operational and leadership teams to interpret financial results, build forward-looking analyses, and communicate clear recommendations to executives. The ideal candidate brings strong FP&A capability, understands manufacturing cost drivers, and can work effectively in both English and Spanish across multiple locations.<br><br>Responsibilities:<br>• Develop financial models, forecasts, and annual operating plans to support strategic and day-to-day business decisions.<br>• Analyze monthly and quarterly results, identify performance trends, and explain key variances against budget, forecast, and prior periods.<br>• Partner with plant and business leaders to translate financial data into practical insights that improve operational and financial performance.<br>• Prepare concise executive-level summaries, presentations, and reporting materials that clearly communicate financial outcomes and recommendations.<br>• Support the budgeting cycle by coordinating inputs, validating assumptions, and helping maintain a disciplined planning process.<br>• Monitor manufacturing-related financial drivers, including cost behavior and production impacts, to strengthen business understanding and decision support.<br>• Collaborate with teams across Spanish-speaking locations to gather information, discuss results, and ensure alignment on financial priorities.<br>• Contribute to process improvement efforts and assist with finance-related system or reporting changes when needed.
- 2026-11-10T00:00:00Z
- Irvine, CA
- onsite
- Permanent / Full Time
- 90000 - 150000 USD / Yearly
- We are looking for a Financial Analyst/Manager to support institutional planning and financial decision-making for a university environment in Irvine, California. This role oversees the annual budgeting cycle, leads forecasting activities throughout the year, and delivers meaningful analysis that helps departments manage resources effectively. The position also partners closely with campus leaders to evaluate financial performance, assess new proposals, and provide clear reporting on budget variances and trends.<br><br>Responsibilities:<br>• Lead the full annual budgeting cycle, coordinating with finance partners, faculty, and administrative teams to develop plans aligned with organizational priorities.<br>• Prepare and present monthly comparisons of actual results against budget, highlighting key variances and recommending actions to improve financial performance.<br>• Build and maintain rolling forecasts, scenario models, and what-if analyses to identify risks, opportunities, and expected financial outcomes.<br>• Review departmental financial activity and spending patterns using budgeting and accounting tools to strengthen cost control and support informed decision-making.<br>• Partner with budget owners across the organization to monitor revenue and expenses, address emerging issues, and help keep operations on track with approved plans.<br>• Assess the financial viability of program proposals, pro formas, and funding requests by analyzing assumptions, projected results, and strategic fit.<br>• Monitor restricted funds and related balances on a regular basis, providing recommendations on the appropriate use and release of available resources.<br>• Maintain financial structures such as departments and cost centers within the accounting framework to support accurate reporting and budget oversight.<br>• Track profitability by program and revenue source, including development and upkeep of cost allocation methodologies.<br>• Contribute to external and regulatory reporting requirements by preparing financial data, analysis, and supporting documentation as needed.
- 2026-10-22T00:00:00Z
- Arlington, VA
- onsite
- Permanent / Full Time
- 150000 - 165000 USD / Yearly
- <p>We are looking for a Project Finance Manager to join a growing renewable energy organization in Northern Virginia. This role will help secure and execute capital solutions across a portfolio of community solar, distributed generation, solar-plus-storage, and standalone storage assets. The position offers the opportunity to work closely with internal teams and external financing partners to advance projects from development through closing.</p><p><br></p><p>Responsibilities:</p><p>• Lead support for financing activities involving sponsor equity, tax equity, joint venture equity, and debt facilities for renewable energy projects.</p><p>• Build, refine, and manage detailed financial models used to evaluate transaction structures, project returns, and investment scenarios.</p><p>• Coordinate multiple transactions simultaneously, guiding each opportunity through diligence, documentation, negotiation, and financial close.</p><p>• Partner with development, origination, operations, and legal colleagues to align financing requirements with project execution plans.</p><p>• Assist in structuring commercial terms for solar and energy storage investments to support portfolio growth and capital deployment.</p><p>• Analyze project economics, funding assumptions, and risk factors to inform decision-making across development and acquisition efforts.</p>
- 2026-10-23T00:00:00Z
- Deerfield Beach, FL
- onsite
- Temporary / Contract
- 0 - 0 USD / Yearly
- <p>The Data Engineer will develop and maintain scalable data pipelines and cloud-based data solutions that support analytics and business intelligence initiatives.</p><p>Responsibilities</p><ul><li>Design and build ETL/ELT processes.</li><li>Develop data pipelines using Python and SQL.</li><li>Optimize data warehouse performance.</li><li>Work with stakeholders to gather data requirements.</li><li>Support data governance and quality initiatives.</li></ul><p><br></p>
- 2026-11-12T00:00:00Z
- 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'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
- 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
- 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
- Memphis, TN
- onsite
- Permanent / Full Time
- 100000 - 120000 USD / Yearly
- <p><strong>Data Pipeline Development & 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 & 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 & 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 & 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 & 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
- 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
- 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
- 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.
- 2026-11-12T00:00:00Z
- 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
- 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
- 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'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'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'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
- 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>
- 2026-11-13T00:00:00Z
- 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
- 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
- Jacksonville, FL
- onsite
- Permanent / Full Time
- 115000 - 130000 USD / Yearly
- We are looking for a Data Engineer to join our team in Jacksonville, Florida and help shape scalable, enterprise-ready analytics solutions. In this role, you will turn complex business needs into well-structured data models, high-performing pipelines, and actionable reporting assets that support informed decision-making. The ideal candidate brings deep experience with modern data platforms, strong technical leadership, and the ability to guide best practices for analytics, governance, and data usability across the organization.<br><br>Responsibilities:<br>• Design and maintain scalable data pipelines and transformation workflows using tools such as Python, Apache Spark, Hadoop, Kafka, and ETL frameworks.<br>• Build and optimize enterprise semantic models that support consistent metrics, reusable analytics assets, and reliable reporting across multiple business areas.<br>• Partner with business and technical stakeholders to convert complex requirements into practical data solutions, dashboards, and analytical datasets.<br>• Develop and support analytics solutions within modern cloud and hybrid environments, with a strong focus on Microsoft Power BI, Microsoft Fabric, and Azure Synapse Analytics.<br>• Improve data quality, model performance, and platform reliability through testing, validation, tuning, and adherence to established governance standards.<br>• Provide technical guidance to team members by sharing best practices in data modeling, visualization, and scalable analytics design.<br>• Evaluate and incorporate AI-enabled analytics capabilities and automation opportunities while ensuring outputs align with business needs and quality expectations.<br>• Communicate technical concepts and analytical insights clearly to a range of audiences, including leadership, to support strategic decisions.
- 2026-10-21T00:00:00Z
- 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
- Arlington, TX
- onsite
- Permanent / Full Time
- 120000 - 150000 USD / Yearly
- <p>We are looking for a Data Engineer to help strengthen financial decision-making by building reliable data and automation capabilities that support planning and analysis. This position works closely with finance leaders and business partners to turn strategic goals into scalable data solutions, improving visibility, speed, and confidence in reporting. </p><p><br></p><p>Responsibilities:</p><p>• Design and maintain data pipelines that convert financial and operational information into trusted, analysis-ready datasets for planning and reporting.</p><p>• Create scalable data models and structured finance data assets within the broader enterprise ecosystem to support consistent, governed analytics.</p><p>• Develop automation solutions using tools such as Python, Excel, and workflow platforms to streamline recurring finance processes and increase team capacity.</p><p>• Build near real-time data transformation processes that improve the timeliness and accuracy of performance visibility for stakeholders.</p><p>• Apply AI-enabled techniques such as anomaly detection, forecasting support, and variance analysis to enhance financial insight generation.</p><p>• Deliver self-service analytics tools and reporting frameworks that allow business users to explore key metrics and make informed decisions independently.</p><p>• Establish documentation, data standards, and governance practices that improve maintainability, quality, and long-term adoption of solutions.</p><p>• Monitor and support automated jobs and bot-driven processes, including troubleshooting, performance oversight, and control management.</p><p>• Translate complex data findings into clear, executive-level outputs that help guide business strategy and financial priorities</p>
- 2026-10-17T00:00:00Z