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261 results for It Business Intelligence Analyst jobs
- Tempe, AZ
- onsite
- Temporary / Contract
- 30 - 32 USD / Hourly
- <p><br></p><ul><li><strong>Position:</strong> Financial Risk Reporting Analyst (Contract-to-Hire)</li><li><strong>Location:</strong>Tempe, AZ 85281)</li><li><strong>Schedule:</strong> 100% Onsite, 5 Days per Week</li><li><strong>Required Experience:</strong> 3+ years of financial reporting, risk reporting, financial analytics, regulatory reporting, or related experience within financial services</li><li><strong>Tentative Hourly Pay Range:</strong> $30 - $32 per hour</li></ul><p><strong>Job Description</strong></p><p>Our client is seeking a Financial Risk Reporting Analyst to support market risk reporting, regulatory reporting, controls, and analytics initiatives within a large financial services environment. This position combines financial analysis, data reporting, process improvement, and collaboration with internal stakeholders across Risk, Finance, Compliance, Audit, and Technology teams.</p><p>The ideal candidate will have strong Excel skills, experience with business intelligence tools, and a background in financial services risk, compliance, controls, or regulatory reporting.</p><p><strong>Key Responsibilities</strong></p><ul><li>Produce recurring market risk, regulatory, and management reports</li><li>Analyze large datasets and provide actionable business insights</li><li>Develop and enhance reporting solutions, metrics, and dashboards</li><li>Identify opportunities to automate manual reporting processes</li><li>Support reporting controls, validations, and documentation</li><li>Partner with Risk, Compliance, Finance, Audit, and Technology teams</li><li>Support reporting projects, testing, and process improvement initiatives</li><li>Interact with global stakeholders and regulators as needed</li></ul><p><strong>Required Qualifications</strong></p><ul><li><strong>3+ years of reporting, financial analytics, risk reporting, or related experience</strong></li><li><strong>Advanced Excel skills including Pivot Tables, Lookups, and data analysis</strong></li><li><strong>Experience with Tableau, Cognos, Alteryx, or similar BI/reporting tools</strong></li><li>Experience analyzing large datasets and producing meaningful reporting</li><li>Financial services experience within Risk, Finance, Compliance, Controls, or Regulatory Reporting</li><li>Strong attention to detail and ability to manage multiple priorities</li><li>Bachelor's degree in Finance, Business, Accounting, Economics, or related field preferred</li></ul><p><br></p>
- 2026-10-16T00:00:00Z
- Menlo Park, CA
- onsite
- Permanent / Full Time
- 115000 - 130000 USD / Yearly
- <p><strong>Anisa Henry is a Direct-Hire</strong> Recruiter with Robert Half <strong>Financial Services, </strong>specializing in roles within<strong> Finance & Accounting </strong>across the<strong> Bay Area. </strong>Happy to connect with professionals in the space, even if you’re just curious about the market.</p><p> </p><p>✨ Business Operations Analyst (Fund Operations)</p><p>📍 Menlo Park, CA (Hybrid)</p><p>🏢 Growing Investment Management Firm</p><p>💰 Competitive Base + Bonus + Great Benefits</p><p><br></p><p>Join a highly respected investment management organization that partners with families, foundations, and institutional investors across public and private markets. The firm is known for its long-term investment approach, collaborative culture, and commitment to innovation, data-driven decision-making, and operational excellence.</p><p><br></p><p>This position supports the coordination and execution of private investment operational workflows, including subscriptions, capital calls, investment documentation, funding coordination, and ongoing investment maintenance. The role also contributes to process improvement initiatives focused on enhancing efficiency, organization, and scalability across the platform. The ideal candidate is highly organized, detail-oriented, proactive, and comfortable managing multiple priorities in a collaborative, fast-paced investment environment.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Develop a strong understanding of the firm's investment platform, operational infrastructure, and private investment processes.</li><li>Support investment operations, including subscriptions, capital calls, redemptions, and ongoing investment maintenance.</li><li>Coordinate investment documentation, onboarding materials, and operational records.</li><li>Maintain operational trackers, reporting tools, and workflow calendars to ensure timely execution.</li><li>Partner with custodians, fund administrators, external investment managers, and internal teams to support day-to-day operations.</li><li>Assist with funding activities, cash movements, wire coordination, and transaction processing.</li><li>Support operational aspects of investment transactions, including secondary market activities.</li><li>Identify opportunities to improve processes, enhance workflows, and increase operational efficiency.</li><li>Maintain and document operating procedures, controls, and best practices.</li><li>Demonstrate professionalism, accuracy, and strong organizational skills in a fast-paced environment.</li></ul><p><strong>Why This Opportunity?</strong></p><p>✅ Exposure to public and private market investments</p><p>✅ Blend of accounting, reporting, investment operations, and analytics</p><p>✅ Strong mentorship and career growth potential</p><p>✅ Technology-forward environment embracing AI and automation</p><p>✅ High visibility and interaction with investment professionals and leadership</p><p>✅ Competitive compensation, bonus opportunity, and comprehensive benefits package</p><p><br></p><p><strong>For fastest consideration, reach out to <u>Anisa Henry via email or LinkedIn</u>.</strong></p>
- 2026-11-12T00:00:00Z
- Worcester, MA
- remote
- Temporary / Contract
- 80 - 90 USD / Hourly
- <p>We are looking for an experienced Workday - Techno-Functional Analyst to provide end-to-end support for a nonprofit organization’s Workday platform in the eastern time zone. This Long-term Contract position is ideal for a detail-oriented individual who can combine hands-on system administration with functional guidance across HCM and Financials while helping teams get the most value from the platform. The role will partner closely with HR, Finance, operations, and technical stakeholders to strengthen system performance, improve processes, and support ongoing enhancements.</p><p><br></p><p>Responsibilities:</p><p>• Take primary responsibility for the organization’s Workday environment, building a strong understanding of current configurations, business rules, security setup, reporting framework, and integration design.</p><p>• Analyze existing implementation decisions and system documentation to identify gaps, recommend improvements, and support a stable post-go-live operating model.</p><p>• Provide functional and technical support across Workday HCM areas such as core HR, compensation, benefits, talent, performance, recruiting, and payroll coordination.</p><p>• Support Workday Financial Management processes including general ledger, accounts payable, procurement, expense management, budgeting coordination, and financial reporting.</p><p>• Define and maintain a structured enhancement roadmap, translating business priorities into actionable plans, timelines, and measurable deliverables.</p><p>• Lead discussions with business stakeholders to gather requirements, evaluate requests, and prioritize initiatives that align with organizational goals.</p><p>• Review workflows to uncover opportunities for automation, efficiency, and better user adoption, then implement improvements based on Workday best practices.</p><p>• Develop and maintain reports, dashboards, and calculated fields while promoting data accuracy, consistency, and governance across the platform.</p><p>• Investigate integration issues, coordinate with internal IT teams and external partners, and support updates involving connected third-party systems.</p><p>• Serve as the link between business teams and technical resources, helping drive optimization efforts and maximizing the organization’s long-term return on its Workday investment.</p>
- 2026-11-06T00:00:00Z
- 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
- Hartford, CT
- remote
- Temporary / Contract
- 80.75 - 93.5 USD / Hourly
- <p>We are looking for an experienced analyst to lead early-stage technical evaluations for AI, automation, and emerging technology opportunities with a client in Connecticut. This Long-term Contract position focuses on shaping informed decisions before delivery teams are engaged by examining technical fit, business value, and implementation readiness. The role will translate discovery findings into clear recommendations that help leaders prioritize initiatives with confidence.</p><p><br></p><p>Responsibilities:</p><p>• Lead structured discovery sessions with stakeholders, vendors, and technical teams to clarify business needs and proposed solution capabilities.</p><p>• Examine system compatibility by reviewing integration points, API requirements, data movement, infrastructure considerations, security needs, and operational effects.</p><p>• Estimate staffing needs, projected costs, key dependencies, and practical factors that may influence delivery planning.</p><p>• Perform targeted research, analyze technical materials, and support limited proof-of-concept activities when additional validation is needed.</p><p>• Develop consistent assessment methods, reusable templates, and evaluation standards to improve how opportunities are reviewed.</p><p>• Prepare technical discovery and readiness packages that summarize findings, outline feasibility, and present recommendation options for leadership.</p><p>• Document preliminary solution approaches, identify potential blockers, and define next-step guidance for project and application teams.</p><p>• Communicate assessment results in a concise, decision-ready format suitable for executive and cross-functional audiences.</p>
- 2026-11-10T00:00:00Z
- Brookfield, WI
- onsite
- Permanent / Full Time
- 205000 - 240000 USD / Yearly
- Transform the Future of AI, Analytics & Intelligent Automation <br> We are seeking a highly innovative Director of Data Science & Analytics to lead the next evolution of an enterprise'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'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'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'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
- Stamford, CT
- onsite
- Permanent / Full Time
- 85000 - 125000 USD / Yearly
- <p><strong>Financial Analyst – Strategic Support to the C-Suite</strong></p><p><br></p><p><strong>Location:</strong> Stamford, CT</p><p><strong>Company:</strong> Fortune 1000 Organization</p><p>Opportunity Overview</p><p>Our client, a leading Fortune 1000 organization, is expanding its Stamford, CT headquarters and seeking a talented Financial Analyst to join its growing finance team.</p><p>This is a high-visibility opportunity to work closely with senior leadership and provide strategic financial and business analytics that directly influence executive decision-making. The role will partner with the C-suite on a range of critical financial initiatives, including expense management, budgeting, revenue forecasting, pricing strategies, and M&A analysis.</p><p>The ideal candidate is analytically driven, commercially minded, and capable of translating complex financial data into meaningful business insights and actionable recommendations.</p><p>Key Responsibilities</p><ul><li>Develop and manage budgets, financial forecasts, and long-range financial plans to support strategic and operational objectives.</li><li>Partner with senior leadership to deliver financial insights, identify business trends, and support key strategic decisions.</li><li>Build and maintain sophisticated financial models to evaluate performance, assess risks, identify opportunities, and forecast potential business outcomes.</li><li>Perform detailed variance analysis, identifying and explaining differences between actual results, forecasts, and budget expectations.</li><li>Conduct ad hoc financial and business analysis in response to executive requests and emerging business priorities.</li><li>Analyze commercial and operational performance metrics to identify key drivers of revenue, expenses, margins, and profitability.</li><li>Collect, organize, and analyze large data sets to identify trends, evaluate performance, and develop actionable recommendations.</li><li>Prepare executive-level financial reports, presentations, and summaries for senior leadership meetings and strategic discussions.</li></ul><p><br></p>
- 2026-11-10T00:00:00Z
- Wood Dale, IL
- onsite
- Permanent / Full Time
- 120000 - 130000 USD / Yearly
- <p><em>The salary range for this position is $120,000-$130,000 and it comes with benefits, including medical, vision, dental, life, and disability insurance. To apply to this hybrid role please send your resume to [email protected]</em></p><p><br></p><p>Feeling stuck or straight up bored at your current job? Let’s fix that. A high-End Investment firm is seeking a Lead Financial Analyst. Perks include including above market pay-rates, top-tier health benefits, plenty of work from home flexibility, and other unique perks that their top competitors can’t to provide.</p><p><br></p><p>This is a highly visible role provides information and conducts analysis on total company financial performance, outlook, and plan. You will analyze business unit performance and coordinate interactions with business unit finance leaders to optimize our financial processes and results.</p><p><br></p><p><strong>ESSENTIAL DUTIES AND RESPONSIBILITIES:</strong></p><ul><li>Analyze business unit performance on a monthly and quarterly basis focusing on critical business drivers</li><li>Support monthly forecasting and annual budgeting efforts, setting timelines and coordinating with team members to define deliverables</li><li>Establish a relationship with Group VPs of Finance, business unit controllers and corporate staff</li><li>Lead month and quarter end close processes, tracking and communicating financial results to senior leadership</li><li>Maintain financial reporting systems and tools, partnering with IT to suggest and implement system enhancements</li><li>Develop various financial models such as debt offerings, financial projections and rating agencies</li><li>Assess applicability and lead adoption of improvements and enhancements on existing processes (e.g. Robotic Process Automation)</li><li>Monitor and assess the Company's internal control environment. Provide recommendations for enhancements and best practices</li><li>Special projects as assigned or directed such as acquisition analysis, Board presentations, etc.</li></ul><p><br></p>
- 2026-11-12T00:00:00Z
- Portsmouth, NH
- onsite
- Temporary / Contract
- 38 - 42 USD / Hourly
- <p>Robert Half's marketing & creative client is seeking a Marketing Analyst for a 6-month contract opportunity in Portsmouth, NH. This is a hybrid, 40-hour-per-week opportunity; candidates must be willing and able to work onsite 3 days-per-week. This role will support digital campaigns, web content, reporting, and media operations. The Marketing Analyst will execute and optimize marketing campaigns, analyze performance data, maintain reporting dashboards, and coordinate digital marketing initiatives across multiple channels.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Build and maintain marketing dashboards and campaign performance reports</li><li>Analyze campaign, website, and engagement data to identify trends and opportunities</li><li>Track key marketing metrics including engagement, conversions, registrations, and revenue attribution</li><li>Support the execution of web and owned media campaigns across digital channels</li><li>Coordinate campaign calendars, content updates, and media placements</li><li>Partner with marketing, creative, and strategy teams to support campaign goals</li><li>Perform QA on campaign assets, tracking, links, and web content</li><li>Maintain campaign documentation, workflows, and reporting processes</li><li>Identify opportunities to improve campaign performance and operational efficiency</li><li>Manage multiple projects and priorities in a fast-paced environment</li></ul>
- 2026-11-11T00:00:00Z
- Bohemia, NY
- remote
- Temporary / Contract
- 19.7885 - 22.913 USD / Hourly
- We are looking for a Marketing Analyst to support data-driven marketing efforts for a Contract position based in Bohemia, New York. This role is ideal for someone who can turn campaign and customer data into practical recommendations that improve engagement, promotion performance, and overall marketing effectiveness. The successful candidate will partner with cross-functional stakeholders to evaluate results, optimize digital initiatives, and strengthen CRM-based outreach strategies.<br><br>Responsibilities:<br>• Analyze marketing and campaign performance data to identify trends, measure effectiveness, and provide actionable insights for business decisions.<br>• Build and maintain reports and dashboards that track key digital marketing, promotional, and customer engagement metrics.<br>• Collaborate with account-facing and marketing teams to assess campaign outcomes and recommend opportunities for improvement.<br>• Evaluate CRM marketing activity to better understand audience behavior, segmentation results, and response patterns.<br>• Support the planning and refinement of digital marketing initiatives through performance analysis and ongoing optimization.<br>• Review promotional efforts across channels and summarize findings that help increase reach, conversion, and return on investment.<br>• Present clear, data-backed recommendations to stakeholders and translate analytical findings into practical next steps.
- 2026-11-10T00:00:00Z
- Atlanta, GA
- onsite
- Temporary / Contract
- 0 - 0 USD / Yearly
- <p>Marketing Campaign Analyst</p><p><strong>Engagement:</strong> 6-Month Contract</p><p><strong>Work Arrangement:</strong> Hybrid | Atlanta, GA</p><p>Position Overview</p><p>We are seeking a Marketing Campaign Analyst to support campaign measurement, reporting, and performance analysis across integrated marketing initiatives. This individual will translate campaign data into actionable insights and help marketing stakeholders understand what is driving results.</p><p>Responsibilities</p><ul><li>Build, maintain, and update campaign dashboards and recurring reports.</li><li>Analyze campaign performance across paid, owned, and earned channels.</li><li>Track KPIs including conversions, CAC, ROAS, engagement, and funnel performance.</li><li>Validate data accuracy across advertising platforms, analytics tools, and CRM systems.</li><li>Identify trends, performance gaps, and optimization opportunities.</li><li>Present findings and recommendations to marketing leadership.</li><li>Support campaign measurement frameworks and attribution reporting.</li></ul><p><br></p>
- 2026-10-23T00:00:00Z
- Stratham, NH
- onsite
- Temporary / Contract
- 21 - 23 USD / Hourly
- <p>We are looking for a Supply Panning Analyst to support licensed global operations for assigned product categories in Stratham, New Hampshire. This Long-term Contract position focuses on coordinating supply planning activities, maintaining accurate operational data, and helping ensure product availability aligns with regional demand. The role works closely with planning, logistics, vendors, and category teams to keep purchase activity, reporting, and delivery timelines on track.</p><p><br></p><p>Responsibilities:</p><p>• Coordinate monthly and seasonal purchasing activities for assigned products, translating supply needs into timely and accurate order execution.</p><p>• Maintain product setup information in internal systems, including planning inputs and routing details required for operational readiness each season.</p><p>• Track purchase orders from creation through confirmation, following up on committed delivery dates to support reliable product flow.</p><p>• Prepare and manage recurring production and supply reports, providing clear visibility into status, risks, and performance trends.</p><p>• Partner with regional planning, logistics, vendors, and category stakeholders to address delivery changes, program timing, and potential supply gaps.</p><p>• Support vendor and factory users with training and ongoing guidance related to operational processes and system usage.</p><p>• Perform administrative updates for purchase order records and other system data to preserve accuracy across the supply planning process.</p><p>• Contribute ad hoc analysis and reporting that helps the global licensed operations team respond to business needs and planning decisions.</p>
- 2026-11-10T00:00:00Z
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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