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234 results for Data Engineer in Usa

Data Engineer

Chicago, Illinois
onsite
Permanent / Full Time
180000 - 200000 USD / Yearly
We are looking for a Data Engineer to help build and maintain scalable data solutions that support critical business operations within the brokerage industry. This role is based in Chicago, Illinois, and focuses on designing reliable data pipelines, improving data accessibility, and enabling efficient processing across large datasets. The ideal candidate brings strong technical expertise in modern data engineering tools and enjoys working in a fast-paced environment where data quality, performance, and consistency are essential. Responsibilities: • Design, develop, and optimize data pipelines that support ingestion, transformation, and delivery of large-scale datasets. • Build and maintain ETL workflows to ensure accurate, timely, and dependable movement of data across platforms. • Use Python and Apache Spark to process complex data efficiently and improve overall pipeline performance. • Work with Apache Hadoop technologies to manage distributed data storage and computation for high-volume workloads. • Implement streaming and messaging solutions with Apache Kafka to support near-real-time data integration needs. • Partner with cross-functional teams to understand data requirements and translate business needs into technical solutions. • Monitor data processes, troubleshoot issues, and resolve bottlenecks to maintain system reliability and data integrity. • Contribute to enhancements involving data platform changes or internal process updates as part of ongoing engineering initiatives.
2026-09-09T00:00:00Z

Data Engineer

Farmers Branch, Texas
onsite
Permanent / Full Time
145000 - 170000 USD / Yearly
We are looking for a Data Engineer to join our team in Texas. In this role, you will create and enhance modern cloud data platforms that power reporting, analytics, and intelligent business solutions. The position is ideal for a hands-on individual who excels at building scalable pipelines, improving data performance, and partnering with technical and business teams to deliver reliable data products. Responsibilities: • Create and maintain cloud-based data solutions on Azure using services such as Databricks, Synapse Analytics, Data Factory, and related platform tools. • Build resilient data pipelines and integration workflows that support enterprise analytics, reporting, and business intelligence across large and complex datasets. • Architect and implement lakehouse and warehouse environments, including layered data models that organize raw, refined, and business-ready data. • Develop reusable notebooks and processing frameworks with Python, PySpark, Spark, and Scala to support scalable engineering patterns. • Tune and troubleshoot data workloads to improve speed, stability, scalability, and overall cost efficiency in production environments. • Deliver end-to-end data solutions by handling design, development, testing, deployment, documentation, and ongoing operational support. • Apply source control, DevOps practices, and automated release processes to enable consistent and secure deployments. • Partner with stakeholders, engineers, and leadership to convert business needs into practical technical designs and data solutions. • Support AI and machine learning initiatives through data preparation, feature development, curated datasets, and platform capabilities for advanced analytics. • Investigate production issues, evaluate new technologies, and recommend improvements that strengthen reliability, efficiency, and business value.
2026-09-02T00:00:00Z

Data Engineer

Oskaloosa, Iowa
onsite
Permanent / Full Time
0 - 0 USD / Yearly
Position: Data Engineer Location: Oskaloosa, IA / Des Moines, IA -- Onsite Salary: $100,000 - $120,000 base + exceptional benefits *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. *** Data Engineer Shape the Future of Enterprise Analytics, AI & Data Innovation Are you the type of data professional who sees a business problem and immediately starts thinking about how to model, engineer, and deliver the right solution? A highly successful, technology-driven organization is seeking a Data Engineer to help build the foundation for enterprise analytics, business intelligence, governance, and next-generation AI initiatives. This is an opportunity to make a visible impact across the business while working alongside a collaborative team of data professionals who are passionate about solving complex challenges. This role is ideal for someone who enjoys being hands-on, partnering with the business, and building modern data solutions that drive meaningful outcomes. What You'll Do • Design and develop scalable data models, semantic layers, and enterprise data solutions • Build trusted data structures that support analytics, reporting, AI, and business intelligence initiatives • Develop and optimize cloud-based data pipelines and integrations • Improve data governance, lineage, metadata management, and observability practices • Create automated data quality and validation frameworks • Implement CI/CD processes and modern DataOps best practices • Optimize SQL performance across warehouses, lakehouses, and reporting environments • Partner with analysts and business stakeholders to transform complex problems into actionable solutions • Contribute to technical standards, mentoring, documentation, and architectural best practices What We're Looking For Core Qualifications • Strong experience with data modeling and semantic modeling • Hands-on experience with Microsoft Fabric, Azure, and Power BI • Advanced SQL development and performance optimization skills • Experience with Git, CI/CD, and modern data engineering practices • Ability to translate business requirements into scalable technical solutions • Experience developing enterprise data pipelines and analytics platforms • A plus if you have data governance, data warehouse, data lake and or DBT experience. *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-09-02T00:00:00Z

Data Scientist

Irmo, South Carolina
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Scientist to join a cutting-edge team in Columbia, SC. This role is suited for a hands-on, detail-oriented individual who can quickly step into an established engineering environment and contribute as an individual contributor alongside a stable, collaborative team. You will work closely with software engineering partners to build data-driven solutions, support analytics initiatives, and apply machine learning and ETL expertise to business needs. Responsibilities:• Develop, maintain, and improve data pipelines that collect, transform, and prepare information for analytical and operational use.• Design and implement machine learning models that address business challenges and support data-informed decision-making.• Partner with software engineers, product stakeholders, and quality teams to integrate data science solutions into broader technical workflows.• Analyze complex datasets to identify trends, generate insights, and recommend practical next steps based on findings.• Step into ongoing initiatives with minimal ramp-up time by reviewing existing work and continuing progress on active projects.• Translate business questions into structured analytical approaches, selecting appropriate methods, tools, and validation techniques.• Document methodologies, model performance, and data processes to support knowledge sharing and maintainability across the team.• Participate in periodic onsite collaboration in Irmo, South Carolina, with in-person attendance expected once per quarter.
2026-09-14T00:00:00Z

Data Scientist

Farmers Branch, Texas
remote
Temporary to Hire
71.25 - 82.5 USD / Hourly
We are looking for a Data Scientist to join a healthcare-focused analytics team in Texas, where you will turn complex data into practical insights and scalable solutions. This contract position with the potential to become permanent is ideal for someone who combines strong statistical knowledge with curiosity, business acumen, and a passion for solving meaningful problems. You will work closely with technical and business partners to design predictive models, improve data quality, and communicate findings that support informed decision-making. Responsibilities: • Transform large, complex datasets into actionable insights by exploring trends, identifying patterns, and uncovering opportunities that support business goals. • Build, test, and refine machine learning models and predictive solutions that improve decision-making and deliver measurable value. • Prepare structured and unstructured data for analysis through cleansing, validation, and preprocessing to ensure reliability and usability. • Strengthen data acquisition practices by recommending improvements that capture the information needed for advanced analytics initiatives. • Partner with business leaders, analysts, and IT teams to define problems, evaluate options, and shape data-driven strategies. • Communicate analytical findings through clear narratives, presentations, and visualizations that make complex results easy to understand. • Create impactful dashboards and visual tools that highlight performance gaps, emerging opportunities, and areas for operational improvement. • Facilitate discussions with stakeholders to gather requirements, iterate on analytical approaches, and align solutions with business needs. • Handle sensitive information with discretion while supporting a culture of continuous improvement, accountability, and evidence-based decision-making.
2026-09-22T00:00:00Z

Data Scientist

Jacksonville, Florida
onsite
Permanent / Full Time
165000 - 175000 USD / Yearly
We are looking for a Data Scientist to join our team in Jacksonville, Florida, and deliver advanced analytics solutions that support decision-making in a financial services environment. In this role, you will transform complex data into scalable models, actionable insights, and clear visual narratives for business and technical partners. The ideal candidate brings strong experience across machine learning, big data platforms, and model deployment, along with the ability to turn exploratory concepts into production-ready solutions. Responsibilities: • Build, validate, and implement machine learning and predictive analytics solutions that address business needs within banking, payments, or financial services use cases. • Prepare and refine large, complex datasets by performing data cleaning, transformation, and feature development to improve model performance and reliability. • Develop analytical models using statistical and machine learning techniques such as classification, clustering, ensemble methods, and other predictive approaches. • Work with big data tools and distributed processing frameworks to analyze high-volume datasets efficiently and support scalable model development. • Create dashboards, visual reports, and data stories that communicate findings and recommendations to both technical teams and business stakeholders. • Use Databricks capabilities such as collaborative notebooks, experiment tracking, model management, and automated workflows to support end-to-end model development. • Design proof-of-concept initiatives that explore new opportunities, assess business value, and guide the expansion of successful solutions into broader use. • Apply natural language processing methods where appropriate to extract insight from unstructured information and solve business problems. • Partner with cross-functional teams to deploy, monitor, and maintain production-ready models in alignment with governance and operational expectations.
2026-09-09T00:00:00Z

Data Scientist

Sacramento, California
onsite
Temporary / Contract
65 - 70 USD / Hourly
We are looking for a Data Scientist to support advanced analytics and machine learning initiatives in Sacramento, California. This Long-term Contract position focuses on creating practical, production-ready solutions that improve operational decision-making, with an early emphasis on predictive maintenance and fleet performance in asset-heavy environments. The role works closely with business leaders and technical teams to turn complex data into reliable models, useful insights, and scalable AI capabilities. Responsibilities: • Build, test, and implement machine learning and analytical models using operational, maintenance, and telemetry data to improve equipment reliability and reduce unexpected downtime. • Create pilot solutions with measurable success criteria, then develop high-performing concepts into stable model pipelines suitable for ongoing production use. • Convert analytical results into clear recommendations, dashboards, or decision-support outputs that help both technical teams and business stakeholders act with confidence. • Partner with data engineering teams to shape requirements for data intake, transformation, feature creation, and model delivery across the broader data environment. • Document methodologies, assumptions, dependencies, and performance results to support transparency, repeatability, and effective model governance. • Provide input on enterprise data architecture needs from a data science perspective, including dataset design, feature availability, experiment tracking, and model readiness. • Identify data limitations, quality concerns, and enrichment opportunities that could influence model accuracy or business value. • Work with cross-functional partners to define new analytics and AI opportunities and assess external tools or vendor-developed solutions when needed.
2026-09-16T00:00:00Z

Data Engineer/Modeler

West Des Moines, Iowa
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Engineer/Modeler to join a long-term contract opportunity in West Des Moines, Iowa. This position focuses on shaping enterprise semantic models and ontology frameworks that make business information consistent, governed, and usable across analytics, reporting, AI, and advanced data initiatives. The ideal candidate will combine strong data modeling expertise with hands-on semantic and knowledge graph experience, along with a solid understanding of insurance data domains. Working closely with technical teams and business partners, this role will help create a trusted data foundation that supports enterprise decision-making. Responsibilities: • Build and enhance enterprise ontologies, semantic structures, taxonomies, and knowledge graph models to represent core business concepts in a machine-readable format. • Define entities, attributes, hierarchies, relationships, business rules, and performance metrics across multiple data domains to support a consistent semantic layer. • Develop models for insurance-focused subject areas such as policy, claims, underwriting, customer, product, sales, and producer or agency data. • Translate logic captured in reports, dashboards, operational workflows, stored procedures, and stakeholder knowledge into governed semantic and data models. • Apply both business-led and source-system-driven modeling approaches to align conceptual designs with underlying data structures. • Assess and improve AI-assisted ontology outputs to ensure semantic accuracy, usability, and alignment with enterprise standards. • Connect ontology concepts to physical source systems and confirm model integrity against trusted systems of record. • Manage model promotion and version control across development, testing, and production environments using Git and established release practices. • Partner with architects, engineers, BI teams, analysts, and business stakeholders to deliver scalable semantic solutions and support governance, lineage, metadata, and data quality efforts.
2026-09-18T00:00:00Z

Data Analyst

New Holland, Pennsylvania
onsite
Permanent / Full Time
100000 - 110000 USD / Yearly
Our client is seeking an experienced Senior Data Operations Analyst to play a key role in transforming enterprise data into actionable business intelligence. This individual will help drive informed decision-making across underwriting, pricing, claims operations, fraud prevention, and customer experience initiatives while ensuring the organization's reporting environment remains accurate, reliable, and scalable. The successful candidate will serve as a critical liaison between business stakeholders and technical teams, overseeing data validation, reporting accuracy, and data governance efforts across the organization. This role will be responsible for maintaining trusted data assets, identifying and resolving data quality issues, and supporting ongoing modernization initiatives through advanced analytics and reporting solutions. Key Responsibilities Maintain and validate centralized data repositories, ensuring data integrity, consistency, and timely availability. Reconcile and verify data across source systems, data warehouses, semantic models, and reporting platforms. Investigate data discrepancies and partner with Data Engineering and QA teams to implement sustainable solutions. Design, develop, and support operational dashboards and reporting solutions using Power BI. Assist with migration of legacy reporting processes to modern business intelligence platforms. Manage datasets, semantic models, report distributions, and reporting governance processes. Collaborate with business leaders to define reporting requirements and establish data standards. Monitor reporting environments and batch processing activities, including month-end, quarter-end, and year-end operations. Drive continuous improvement initiatives focused on operational efficiency, data quality, and reporting effectiveness. Qualifications Experience within the Property & Casualty insurance industry is required Bachelor's degree in Data Science, Statistics, Actuarial Science, or a related discipline preferred. 8+ years of data analytics, data operations, or business intelligence Strong technical skills in SQL, Python, Excel, ETL processes, data warehousing, and Power BI. Experience with Microsoft Fabric and Medallion Architecture methodologies. Working knowledge of insurance operations, rating structures, actuarial concepts, risk modeling, and regulatory requirements. Ability to partner effectively with technical teams, business stakeholders, and cross-functional leadership groups. Experience with Origami and/or DXC Assure Claims is a plus.
2026-09-03T00:00:00Z

Data Analyst

Milford, Connecticut
onsite
Temporary / Contract
26 - 31 USD / Hourly
About the RoleRobert Half is seeking a highly analytical and detail-oriented Data Analyst for a contract opportunity with an innovative technology company in Milford, Connecticut. This position is ideal for a professional who enjoys transforming complex data into actionable insights and supporting business decisions through reporting, analysis, and data visualization.The Data Analyst will collaborate with cross-functional teams to collect, analyze, and interpret data, helping drive operational efficiency and strategic initiatives across the organization.Responsibilities<ul><li>Collect, validate, and analyze large datasets from multiple sources</li><li>Develop and maintain reports, dashboards, and data visualizations</li><li>Identify trends, patterns, and key performance indicators to support business objectives</li><li>Prepare and present findings to management and key stakeholders</li><li>Perform data cleansing and quality assurance to ensure data accuracy</li><li>Assist with forecasting, business planning, and performance analysis</li><li>Create ad hoc reports and analyses to support departmental initiatives</li><li>Collaborate with IT and business teams to improve reporting processes and data integrity</li><li>Document reporting procedures, metrics, and data definitions</li><li>Support special projects and data-driven decision-making efforts</li></ul>
2026-09-16T00:00:00Z

Data Analyst

Greenville, South Carolina
onsite
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is hiring! We are looking for a Data Analyst to join our team in Greenville, South Carolina. In this role, you will combine technical expertise, analytical thinking, and team leadership to drive data-focused initiatives that support business goals. This position offers the opportunity to guide projects, collaborate with cross-functional partners, and strengthen the quality and efficiency of data solutions across the organization. Responsibilities:• Guide and support a team of technical contributors by providing mentorship, feedback, and day-to-day leadership.• Coordinate concurrent data and operational initiatives, helping set priorities and keep deliverables on track.• Work closely with developers and technical partners to address complex issues and enhance existing data solutions.• Contribute to project planning by organizing workloads, aligning timelines, and keeping stakeholders informed of progress.• Champion effective practices for database management, automation, system integrations, testing, documentation, and production support.• Identify opportunities to refine workflows, improve team standards, and increase overall operational efficiency.• Collaborate with business partners to understand requirements and translate them into practical, scalable technical outcomes.
2026-09-17T00:00:00Z

Data Analyst

Nashville, Tennessee
onsite
Temporary / Contract
38 - 45 USD / Hourly
Robert Half is seeking a Contract Data Analyst to join our client's team. As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to provide actionable insights that support business decisions. This contract position offers an exciting opportunity to work with a dynamic team and help drive data-driven strategies for a respected organization. Key Responsibilities:<ol><li>Data Collection and Analysis: Collect, clean, and analyze data from various sources to identify trends, patterns, and insights that inform business decisions.</li><li>Reporting: Create and maintain dashboards, reports, and visualizations that communicate findings to stakeholders in a clear and concise manner.</li><li>Data Validation: Ensure data integrity by conducting regular audits, validation, and quality checks.</li><li>Collaboration: Work closely with cross-functional teams to understand data requirements and provide insights that support strategic goals.</li><li>Data Modeling: Develop and maintain data models, forecasts, and simulations to support business planning and operations.</li><li>Trend Analysis: Monitor key performance indicators (KPIs) and analyze data trends to identify opportunities for improvement.</li><li>Documentation: Document data processes, methodologies, and findings to ensure transparency and reproducibility of results.</li><li>Ad Hoc Analysis: Provide ad hoc analysis and reporting support as needed to assist in decision-making processes.</li></ol>
2026-09-22T00:00:00Z

Data Analyst

Bloomington, Minnesota
onsite
Permanent / Full Time
59000 - 60000 USD / Yearly
We are looking for a Data Analyst to join a healthcare organization in Bloomington, Minnesota, and turn complex data needs into clear, actionable reporting solutions. This role partners with internal stakeholders to define reporting objectives, develop reliable analyses, and deliver insights that support informed operational and business decisions. The ideal candidate brings strong technical ability, careful attention to accuracy, and a service-oriented approach to improving reporting tools and data usability. Responsibilities: • Partner with departments across the organization to clarify reporting goals, uncover the underlying business question, and identify the most effective analytical approach. • Create, maintain, and enhance recurring and ad hoc reports using existing data sources, presenting information in formats that are easy for end users to understand and apply. • Translate user needs into reporting specifications, then coordinate validation and testing to confirm that delivered outputs are accurate and aligned with expectations. • Analyze datasets with appropriate statistical and logical methods to produce meaningful findings that support decision-making. • Explain report content, data definitions, and inclusion or exclusion criteria so stakeholders can interpret results with confidence. • Work with cross-functional teams to identify opportunities for better automation, stronger reporting processes, and more efficient delivery of analytics services. • Troubleshoot reporting issues, correct defects, and implement updates when changes in business logic or system development affect existing outputs. • Maintain documentation for completed requests, update shared libraries and project tracking tools, and support planning activities related to timelines and deliverables. • Perform audits of key reports, assist with analytics database testing, and contribute user stories or feedback to help ensure data accuracy and system performance. • Review report usage trends, provide ongoing user education, and recommend enhancements that increase adoption and improve report functionality.
2026-09-10T00:00:00Z

Data Analyst

Atlanta, Georgia
onsite
Temporary to Hire
35.625 - 45 USD / Hourly
We are looking for a Data Analyst to join a collaborative team in Atlanta, Georgia, where data is used to guide business strategy and operational decisions. This opportunity is ideal for someone who enjoys translating complex information into clear reporting and practical recommendations. The person in this role will partner with stakeholders across the business to uncover patterns, improve data quality, and deliver meaningful insights through analysis and visualization. Responsibilities:• Create interactive dashboards and recurring reports that help teams monitor performance and identify areas for improvement.• Examine large and varied datasets to uncover trends, exceptions, and actionable business insights.• Develop and run database queries to extract, organize, and interpret information from multiple sources.• Review, reconcile, and validate data to maintain accuracy, consistency, and reliability in reporting outputs.• Communicate findings to business partners and leadership through clear presentations, summaries, and visual storytelling.• Work closely with cross-functional teams to support informed decision-making with timely analytical input.• Apply analytical techniques to fraud-related data to help detect suspicious activity and strengthen anti-fraud efforts.
2026-08-21T00:00:00Z

Data Analyst

Moline, Illinois
onsite
Temporary to Hire
42.75 - 49.5 USD / Hourly
We are looking for a Data Analyst to join a financial services organization in Moline, Illinois on a contract-to-permanent basis. In this role, you will turn business questions into clear technical requirements and help teams use data to make informed decisions. You will work closely with stakeholders across business, technology, and security functions to support the development of reliable reporting and analytics solutions. Responsibilities: • Partner with business teams to gather, clarify, and document reporting and analytics needs in a way that supports technical development. • Convert business objectives into detailed specifications for data products, dashboards, and reporting solutions. • Act as a key connection point between operational stakeholders and analytics teams to ensure requirements are complete, accurate, and actionable. • Create meaningful visualizations and data narratives that help associates and members understand trends, performance, and opportunities. • Support the design and delivery of business intelligence solutions using reporting and analytics tools aligned with organizational needs. • Collaborate with information technology, data owners, and security partners to maintain data quality and uphold standards for confidentiality, integrity, and availability. • Analyze data sets to identify issues, answer business questions, and recommend practical solutions with minimal supervision. • Contribute to ongoing analytics initiatives by tracking requirements, coordinating feedback, and assisting with related project activities as needed.
2026-08-28T00:00:00Z

Data Analyst

Minneapolis, Minnesota
remote
Temporary / Contract
20 - 26 USD / Hourly
We are looking for a detail-oriented Data Analyst to support fee schedule oversight and claims-related analysis for healthcare programs. This Long-term Contract position will focus on monitoring reimbursement updates, identifying discrepancies, and helping maintain accurate configuration outcomes for a distributed team. Based in Minneapolis, Minnesota, this opportunity is well suited for someone who understands procedure coding, public payer reimbursement structures, and data validation in Excel. Flexible daytime hours are available, and the role offers the chance to contribute to high-visibility operational work in a remote environment. Responsibilities: • Review monthly Medicaid reimbursement updates across multiple states and document changes that affect fee schedule accuracy. • Track quarterly Medicare fee schedule revisions and translate findings into clear analysis for internal stakeholders. • Analyze daily claims reporting to identify pricing or configuration issues tied to fee schedules and coding logic. • Investigate variances in claim outcomes by comparing procedure codes, payer rules, and reimbursement references. • Support ongoing fee schedule maintenance by validating data elements used in system configuration activities. • Collaborate with a nine-member remote team to monitor operational trends and help resolve reimbursement-related exceptions. • Prepare organized Excel-based summaries, trackers, and audit files to support routine review cycles and issue follow-up.
2026-09-21T00:00:00Z

Data Analyst

Oakland, California
onsite
Temporary / Contract
27 - 30 USD / Hourly
Data AnalystJob DescriptionSeeking a Data Analyst to collect, analyze, and interpret data to help drive business decisions and improve operational performance.Responsibilities<ul><li>Analyze large datasets and identify trends</li><li>Create reports, dashboards, and visualizations</li><li>Perform data validation and quality checks</li><li>Present findings and recommendations</li><li>Collaborate with cross-functional teams</li></ul>
2026-09-04T00:00:00Z

Data Analyst

King of Prussia, Pennsylvania
onsite
Temporary / Contract
0 - 0 USD / Yearly
Pricing/Data Analyst A client of ours is looking for a Pricing/Data Analyst for a contract. his role is responsible for managing customer membership eligibility, contract participation, pricing validation, and rebate-related data activities across GPOs, IDNs, Specialty Pharmacies, distributors, and other customer channels. The ideal candidate will possess strong analytical capabilities, advanced Excel skills, and direct experience working with Model N in a pharmaceutical environment. Responsibilities of Pricing/Data Analyst <ul><li>Manage customer membership additions, removals, and eligibility validation for GPOs, IDNs, Specialty Pharmacies, and other contracted customer segments.</li><li>Support membership onboarding activities and contract participation requests while ensuring compliance with approved contract terms.</li><li>Maintain and validate customer master data, including Class of Trade (COT), DEA, HIN, and other customer attributes.</li><li>Coordinate distributor membership communications and electronic data interchange (EDI) membership transmissions.</li><li>Monitor membership disconnects, pricing exceptions, discrepancies, and credit/rebill activity to ensure accurate contract execution.</li><li>Review contract compliance, membership activity, and pricing data utilizing Model N and related systems.</li><li>Analyze customer and contract data to identify inconsistencies, resolve issues, and improve data integrity.</li><li>Partner with internal stakeholders to support pricing operations, membership administration, and contract management initiatives.</li><li>Prepare reports, analyze trends, and provide recommendations to support business decisions and operational efficiency.</li><li>Ensure compliance with pharmaceutical contracting policies, procedures, and customer agreements.</li></ul>
2026-09-10T00:00:00Z

Data Analyst

Gainesville, Florida
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for a Data Analyst to join a team in Florida on a contract basis with the potential for a permanent position. In this role, you will turn business needs into reliable reporting, data solutions, and actionable insights that support day-to-day operations and long-term decision-making. The position offers the opportunity to work across analytics, database management, integrations, and process improvement while partnering closely with both technical teams and business stakeholders. Responsibilities: • Create, refine, and optimize database queries across multiple query languages to support reporting, analysis, and operational needs. • Partner with internal stakeholders to gather reporting goals, translate requirements into effective dashboards and visualizations, and enhance BI solutions over time. • Build and maintain data interfaces that connect enterprise systems, databases, and external sources to ensure dependable data flow. • Administer and monitor on-premise and cloud-based databases, helping maintain performance, availability, data quality, and security standards. • Design and deliver custom analytics tools, automated workflows, and data-driven solutions that improve efficiency and align with business priorities. • Provide advanced troubleshooting and support for BI, reporting, and analytics platforms, including handling escalated issues and assisting frontline support when needed. • Prepare and update technical documentation for reports, integrations, databases, automated processes, and other data solutions. • Contribute to ETL and pipeline activities that support consistent data transformation, movement, and accessibility across platforms.
2026-09-18T00:00:00Z

Data Analyst

Dallas, Texas
onsite
Temporary / Contract
60 - 65 USD / Hourly
OverviewWe are seeking an experienced Data Analyst to support a large-scale healthcare data and reporting transformation initiative. This role is ideal for a hands-on analyst who is comfortable working with complex datasets, building reports and dashboards, and partnering with business stakeholders to ensure critical reporting remains accurate and available during system transitions. You will play a key role in maintaining reporting continuity, supporting data validation efforts, and delivering actionable insights in a fast-paced environment. POSITION: DATA ANALYSTLOCATION: REMOTEDURATION: CONTRACT RESPONSIBILITIES:<ul><li>Develop, maintain, and enhance reports and dashboards to support business and operational reporting needs.</li><li>Migrate and rebuild reporting assets as data sources and reporting requirements evolve.</li><li>Create and optimize SQL queries to extract, analyze, and validate data from enterprise data warehouse environments.</li><li>Build, maintain, and enhance Power BI reports, dashboards, and semantic data models.</li><li>Analyze reporting requirements and translate business needs into actionable data solutions.</li><li>Validate data accuracy, troubleshoot reporting discrepancies, and partner with technical teams to resolve issues.</li><li>Support data integration, reporting continuity, and analytics initiatives during system and process changes.</li><li>Collaborate with business stakeholders, analysts, and technical teams to prioritize and deliver reporting requests.</li><li>Document report logic, data sources, business rules, and reporting processes.</li><li>Provide analytical support across multiple projects while managing shifting priorities and deadlines.</li></ul>
2026-09-08T00:00:00Z

Data Analyst

Milwaukee, Wisconsin
onsite
Permanent / Full Time
75000 - 90000 USD / Yearly
We are looking for a Data Analyst to turn complex healthcare, financial, and operational data into meaningful insights that guide leadership decisions. This position supports organizational performance by connecting information from clinical and business systems, building practical reporting tools, and highlighting trends that matter. Based in Milwaukee, Wisconsin, the role works closely with finance, operations, and clinical stakeholders to improve visibility, planning, and overall effectiveness. Local candidates to the Greater Milwaukee area with Healthcare Epic experience is desired. Responsibilities:• Create and maintain dashboards, scorecards, and recurring reports that combine Epic data with financial and operational information from connected platforms.• Work with leaders across finance, operations, and clinical teams to define measurable indicators and track performance in patient services, revenue activity, and resource use.• Gather, clean, and evaluate large datasets to support forecasting, monthly business reviews, and long-range planning initiatives.• Present findings in a clear, business-focused format so non-technical stakeholders can understand trends, risks, and opportunities.• Collaborate with IT and data governance partners to uphold data accuracy, reporting consistency, and compliance with organizational standards.• Identify patterns in clinical and administrative workflows and recommend improvements that increase efficiency and support better decision-making.• Contribute to reporting automation and process enhancements that improve speed, reliability, and access to timely performance data.
2026-08-25T00:00:00Z

Enterprise Data Engineer

West Des Moines, Iowa
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an Enterprise Data Engineer to support enterprise-scale data integration and engineering initiatives for a life insurance organization in West Des Moines, Iowa. This Long-term Contract position is ideal for a technically strong individual who can build reliable data solutions, improve information flow across platforms, and partner with stakeholders to turn complex requirements into practical outcomes. The role combines hands-on engineering with solution design, with an emphasis on scalability, security, and data quality. Responsibilities: • Build and maintain robust data pipelines and integration workflows that support large-scale enterprise data movement and processing. • Develop transformation logic and orchestration processes using tools such as dbt, Azure Data Factory, Azure Data Lake, and related cloud-based technologies. • Connect Snowflake with internal platforms, cloud services, APIs, and reporting tools to enable dependable and efficient data exchange. • Work closely with product owners, architects, and technical teams to convert business needs into well-structured data models and engineering solutions. • Analyze functional and non-functional requirements to design data assets and workflows that align with operational and analytical objectives. • Promote sound engineering practices by defining standards for development, governance, security, and maintainability across data solutions. • Validate data processing outcomes through testing, issue investigation, and resolution of transformation or pipeline errors. • Track performance, reliability, and cost metrics for pipelines and recommend enhancements that improve efficiency and stability. • Evaluate emerging tools and architectural patterns that can strengthen enterprise data delivery and integration capabilities.
2026-09-16T00:00:00Z

Database Developer

Roxbury, Massachusetts
onsite
Temporary / Contract
57 - 66 USD / Hourly
We are looking for a Database Developer to support an education organization in Roxbury, Massachusetts through a Long-term Contract engagement. In this hands-on role, you will focus on developing high-quality SQL solutions, producing dependable reports and data extracts, improving data integrity, and assisting with routine database operations. The position is centered on delivery and execution, with technical guidance provided by data leadership. Success in this role requires strong T-SQL expertise, careful documentation habits, and a disciplined approach to validating work before release. Responsibilities: • Create, refine, and support SQL queries, views, and stored procedures used for operational reporting and recurring data delivery across academic and administrative teams. • Produce scheduled and on-demand reports and data extracts that help departments such as enrollment, financial aid, student accounts, academic affairs, and institutional research make informed decisions. • Investigate data issues by identifying duplicate, missing, or conflicting records, then develop scripts and reconciliation processes to improve overall data accuracy. • Provide support for system integrations by monitoring exception activity, resolving record-matching issues, and reconciling records that do not process successfully between connected platforms. • Develop and maintain data outputs required for regulatory, state, federal, and leadership reporting, ensuring timely and reliable delivery of information. • Apply approved access controls and permission updates while handling sensitive student and financial information in alignment with established privacy and security standards. • Prepare thorough documentation covering query logic, report definitions, data rules, and repeatable operating procedures so knowledge is retained within the institution. • Use AI-assisted development tools to accelerate drafting, reviewing, and refining SQL code and technical documentation, while independently testing and validating all results before production use.
2026-09-18T00:00:00Z

Database Developer

Lehi, Utah
remote
Permanent / Full Time
160000 - 180000 USD / Yearly
We are looking for a Database Engineer to support the design, migration, and optimization of cloud-based data platforms. This role focuses on building reliable database solutions for large and complex datasets while enabling efficient delivery of information to applications, analytics tools, and other downstream consumers. The ideal candidate brings strong hands-on experience with cloud database technologies, Python development, and modern data engineering practices, along with the ability to contribute practical architectural insight. Responsibilities:• Lead the migration of database workloads to cloud-based environments, with particular emphasis on DynamoDB and DocumentDB implementations.• Design, build, and maintain scalable data pipelines that process high-volume datasets and deliver dependable data to downstream services and presentation layers.• Develop and optimize Python-based solutions to support database operations, automation, and data movement across distributed systems.• Create and maintain database structures and access patterns for NoSQL and in-memory platforms, including Redis and related AI or vector-driven data use cases.• Partner with engineering teams to define practical database architecture decisions and translate technical requirements into effective cloud implementations.• Support search and retrieval capabilities by working with Solr and other data access technologies used across the environment.• Implement scripting and automation tasks using shell scripting where needed to streamline deployment, maintenance, and operational workflows.• Evaluate and integrate technologies such as ElastiCache, MemoryDB, MongoDB, and vector databases to meet performance, scalability, and application need.
2026-09-16T00:00:00Z

Data Analyst I

Phoenix, Arizona
onsite
Temporary / Contract
35 - 42 USD / Hourly
Data Analyst I4-month Contract with potential extensions/conversionHybrid, 4 days/week onsite in Phoenix, AZ; Shift 6:00am-2:30pm We are looking for a detail-oriented Data Analyst I to support operational improvement efforts in Phoenix, AZ. This is a contract position focused on examining workflow data, uncovering recurring issues, and helping the business operate more efficiently. The ideal candidate brings strong curiosity, sound judgment, and a proactive approach to solving problems while working closely with internal stakeholders. This role follows a hybrid schedule with in-office work Monday through Thursday and remote work on Friday. Responsibilities:• Review reporting and workflow activity to detect patterns, recurring issues, and opportunities to improve day-to-day operations.• Conduct root cause analysis on service or process problems and recommend practical, lasting solutions.• Investigate complex cases or unfamiliar requests, using research and data analysis to drive resolution.• Create clear documentation for findings, process updates, recommendations, and operational changes.• Partner with cross-functional teams to simplify procedures, reduce manual effort, and improve consistency.• Use tools such as SQL, SharePoint workflows, and reporting platforms to analyze performance and support decision-making.• Track closed-ticket activity and related metrics to identify inefficiencies and support continuous improvement initiatives.• Contribute to process changes and workflow enhancements that strengthen service quality and operational effectiveness.
2026-09-03T00:00:00Z

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