We are looking for an entry-level Help Desk Analyst to join an education-focused organization in Kalamazoo, Michigan on a Contract basis. This opportunity is ideal for someone with foundational technical skills who enjoys hands-on troubleshooting and supporting end users with device-related needs. The role centers on preparing, replacing, and updating workstation equipment while helping maintain a smooth experience for staff and students.<br><br>Responsibilities:<br>• Provide first-line technical assistance for desktop, software, and hardware issues encountered by end users.<br>• Support device replacement activities by setting up, exchanging, and verifying equipment for daily use.<br>• Perform equipment refresh tasks, including uninstalling older workstations and preparing updated devices for deployment.<br>• Troubleshoot basic problems involving PCs, desktops, and related software to restore functionality quickly.<br>• Assist with Chromebook setup, support, and issue resolution when assigned.<br>• Track completed work accurately and communicate status updates to the appropriate team members.<br>• Test devices after installation or repair to confirm they are functioning properly before handoff.<br>• Maintain an organized work area and handle technology assets carefully during support and deployment activities.
We are looking for a Help Desk Analyst to support day-to-day technology needs for an education environment in Hemet, California. This is a Contract position focused on providing responsive technical assistance for students, staff, and classrooms across multiple campus settings. The ideal candidate will deliver dependable support for devices, operating systems, and network-related issues while helping maintain a productive learning environment.<br><br>Responsibilities:<br>• Provide first-line technical support for student and staff hardware, software, and connectivity issues across school sites.<br>• Diagnose and resolve problems involving Chromebooks, iPads, Windows-based computers, and other classroom technology.<br>• Manage incoming service desk requests, document resolutions, and follow up to ensure tickets are completed accurately and on time.<br>• Install, configure, and deploy devices and related technology equipment for classrooms, offices, and shared campus spaces.<br>• Assist educators and school personnel with technology setup, troubleshooting, and day-to-day usage needs in instructional settings.<br>• Support user account access and basic administrative tasks within Active Directory and Microsoft Windows environments.<br>• Perform routine troubleshooting to identify root causes and escalate more complex technical issues when necessary.
We are looking for a detail-oriented Compensation Analyst to join our team in Memphis, Tennessee. In this role, you will play a critical part in analyzing and designing competitive and compliant compensation programs that align with organizational goals. The ideal candidate will collaborate with internal stakeholders to provide insights, recommendations, and support for compensation-related matters.<br><br>Responsibilities:<br>• Gather, analyze, and present data to support informed compensation decisions and recommendations.<br>• Ensure the organization’s compensation programs align with business objectives and industry standards.<br>• Conduct salary surveys, analyze market data, and evaluate job roles to maintain competitive compensation structures.<br>• Prepare cost analyses and projections for annual reviews, equity assessments, and other pay-related activities.<br>• Partner with internal teams to address compensation concerns, offer guidance, and develop tailored solutions.<br>• Collaborate with HR and department leaders to create career ladders and advancement opportunities for employees.<br>• Develop and update job descriptions to accurately reflect responsibilities and meet regulatory standards.<br>• Conduct job evaluations to determine appropriate grading, titles, and classifications.<br>• Support special projects and initiatives, ensuring timely delivery and compliance with relevant regulations.<br>• Stay informed about legislative changes and best practices in compensation to maintain compliance and effectiveness.
<p>We are looking for a Compensation Analyst to support a growing organization in west Denver with compensation programs that are competitive, equitable, and aligned with business goals. This role will evaluate pay practices, interpret market data, and provide recommendations that help leaders make informed compensation decisions. The ideal candidate brings strong analytical ability, experience with salary benchmarking, and a solid understanding of compensation administration.</p><p><br></p><p>Responsibilities:</p><p>• Analyze salary structures, pay practices, and internal compensation data to identify trends and support compensation decisions across the organization.</p><p>• Conduct market pricing and benchmarking studies using survey data to evaluate external competitiveness and recommend appropriate pay ranges.</p><p>• Administer compensation programs by maintaining pay policies, reviewing employee pay actions, and helping ensure consistent application of guidelines.</p><p>• Partner with HR and business leaders to provide insights on job leveling, salary offers, promotions, and other compensation-related matters.</p><p>• Prepare reports, models, and presentations that summarize compensation findings and support leadership decision-making.</p><p>• Participate in compensation survey submissions and validate data accuracy to improve the quality of market comparisons.</p><p>• Review compensation processes for compliance with internal standards and applicable regulations while supporting documentation and audit readiness.</p>
<p>Join our client as a strategic HR Compensation Lead driving innovative total rewards solutions for a growing organization. As a trusted advisor to HR, finance, and business leaders, you’ll design and manage compensation programs that attract, motivate, and retain top talent—making a direct impact on business success. This is a contract to hire opportunity for a nonprofit organization. </p><p><br></p><p>What you get to do every day:</p><p>• Conduct thorough analyses of compensation data to support strategic decision-making.</p><p>• Develop and manage compensation surveys to gather relevant market insights.</p><p>• Evaluate and benchmark compensation structures against industry standards and trends.</p><p>• Provide recommendations to optimize salary and benefits packages for employees.</p><p>• Collaborate with HR and leadership teams to ensure consistent application of compensation policies.</p><p>• Prepare detailed reports on compensation trends and findings for stakeholders.</p><p>• Monitor compliance with legal and regulatory requirements related to compensation.</p><p>• Support the implementation and administration of compensation programs and processes.</p><p>• Offer guidance and expertise in addressing compensation-related queries and challenges.</p><p>• Assist in the development of strategies to align compensation practices with organizational goals. </p>
We are looking for a Data Engineer to support and enhance critical data operations in Greenville, South Carolina. This role focuses on keeping data platforms dependable, efficient, and scalable across both real-time and scheduled workflows. The ideal candidate will bring strong technical expertise in cloud-based data environments and a proactive approach to improving performance, automation, and data reliability.<br><br>Responsibilities:<br>• Oversee the health and performance of data pipelines that run across Snowflake, Kafka, and connected platforms.<br>• Investigate operational issues affecting data ingestion, transformation, or downstream delivery and drive timely resolution.<br>• Maintain stable batch and streaming processes by improving resiliency, uptime, and overall execution efficiency.<br>• Administer Snowflake resources, including warehouses, databases, permissions, and usage optimization.<br>• Manage Kafka infrastructure by tuning clusters, topics, partitions, and consumer group behavior for reliable throughput.<br>• Create and maintain automated solutions for deployment, monitoring, failure recovery, and routine workflow support.<br>• Develop operational scripts and utilities using Python, Bash, and related tools to reduce manual effort and improve consistency.<br>• Contribute to CI/CD practices that strengthen the release and maintenance process for data infrastructure.<br>• Partner with engineering and analytics teams to improve pipeline design, data performance, and delivery accuracy.<br>• Support data governance, security, compliance, and data quality standards through validation checks and alerting frameworks.
<p>Data Engineer – Databricks / Azure / AI Analytics</p><p><br></p><p>You must be able to obtain and maintain a public trust clearance,</p><p><br></p><p>Position Overview</p><p>We are seeking a highly capable Data Engineer to design and support scalable data pipelines and analytics environments within a cloud-based Azure data platform. This role focuses on building modern data solutions using Databricks, Spark, and distributed data architectures, supporting enterprise-level analytics and AI initiatives.</p><p>The ideal candidate brings hands-on expertise in Databricks engineering, cloud data pipelines, and data integration, along with strong collaboration skills to translate business requirements into technical solutions. This position offers the opportunity to work on large-scale data platforms and support advanced analytics and AI-driven workloads.</p><p><br></p><p>Key Responsibilities</p><p>Data Engineering & Pipeline Development</p><ul><li>Design, build, and optimize data pipelines using Databricks and Spark</li><li>Implement Medallion architecture and scalable data processing workflows</li><li>Develop ingestion pipelines for structured, streaming, and unstructured datasets</li></ul><p>Cloud & Platform Integration</p><ul><li>Work with Azure services (Data Factory, Storage, Functions, Log Analytics)</li><li>Integrate data across multiple sources to enable high-quality analytics</li><li>Support hybrid cloud initiatives and evolving data platforms</li></ul><p>Data Management & Optimization</p><ul><li>Ensure data quality, integrity, and accessibility across systems</li><li>Monitor pipeline performance and optimize cost, scalability, and efficiency</li><li>Support data governance, cataloging, and compliance standards</li></ul><p>Platform Operations & Support</p><ul><li>Troubleshoot performance issues, cluster stability, and configuration management</li><li>Support end-user requests and provide front-line platform support</li><li>Implement monitoring, logging, and alerting solutions</li></ul><p>DevOps & Automation</p><ul><li>Develop and maintain CI/CD pipelines and infrastructure-as-code (IaC)</li><li>Automate deployment and data workflows for improved efficiency</li><li>Support continuous delivery within Agile environments</li></ul>
We are looking for a Data Engineer to strengthen our data and analytics capabilities in West Chester, Pennsylvania. This role will shape reliable data architecture, support enterprise reporting, and help turn complex information into practical business insight. The position is ideal for someone who enjoys building scalable data solutions, improving performance, and working across Microsoft-based data technologies.<br><br>Responsibilities:<br>• Design and support enterprise data solutions that enable dependable analytics, reporting, and operational decision-making.<br>• Build, optimize, and maintain database structures and data processing workflows using SQL Server, Azure SQL Database, and T-SQL.<br>• Develop and enhance SSIS packages and related data pipelines to ensure accurate, timely, and efficient movement of information across systems.<br>• Create scalable datasets and reporting foundations that support Power BI dashboards and broader business intelligence needs.<br>• Monitor data platform performance, troubleshoot issues, and implement improvements that increase stability, security, and efficiency.<br>• Partner with business and technical stakeholders to translate reporting and analytics goals into practical data engineering solutions.<br>• Lead efforts to move legacy SQL Server workloads into Azure-based services while maintaining data integrity and minimizing disruption.<br>• Establish standards and best practices for data quality, documentation, and ongoing platform maintenance.
<p>We are seeking a skilled <strong>Data Engineer</strong> with strong experience in <strong>ETL development, Snowflake, and Python</strong> to join our team. This role will be responsible for designing, building, and maintaining scalable data pipelines and cloud-based data solutions that support analytics, reporting, and business decision-making.</p><p>The ideal candidate has hands-on expertise in modern data engineering practices, strong problem-solving abilities, and experience working with structured and unstructured data in fast-paced environments.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and maintain robust <strong>ETL/ELT pipelines</strong> for ingesting, transforming, and loading data from multiple sources</li><li>Build and optimize data solutions within <strong>Snowflake</strong></li><li>Develop reusable scripts and workflows using <strong>Python</strong></li><li>Integrate data from APIs, databases, flat files, and third-party platforms</li><li>Monitor, troubleshoot, and enhance data pipeline performance, reliability, and scalability</li><li>Collaborate with analytics, engineering, and business teams to understand data requirements</li><li>Ensure data quality, integrity, governance, and security across platforms</li><li>Support data modeling, warehouse design, and performance tuning</li><li>Document technical designs, workflows, and operational processes</li><li>Participate in code reviews, testing, and deployment activities</li></ul><p><br></p>
We are looking for a Data Engineer to join a financial services organization in Greer, South Carolina on a contract-to-permanent basis. This role focuses on building and enhancing modern data pipelines within a cloud-centered environment, with Snowflake serving as the primary data platform. The ideal candidate will help deliver production-ready solutions, strengthen data reliability, and apply disciplined engineering practices to support scalable, near real-time data processing.<br><br>Responsibilities:<br>• Design, build, and deliver end-to-end data pipelines in Snowflake that support business reporting and data consumption needs.<br>• Create new ingestion and transformation workflows while troubleshooting pipeline issues to improve stability and performance.<br>• Contribute to a delivery model that balances new development with targeted optimization of existing data assets and workflows.<br>• Implement streaming and event-driven ingestion patterns using Kafka to support timely and scalable data movement.<br>• Improve observability across the data ecosystem by strengthening monitoring, alerting, and data quality controls.<br>• Help simplify legacy data processes by reducing technical debt and modernizing outdated pipeline components.<br>• Apply sound software engineering standards, including maintainable code, documentation, and repeatable development practices.<br>• Support the advancement of testing and CI/CD processes by helping establish more consistent engineering workflows.<br>• Leverage AI-assisted development tools to accelerate coding, validation, and technical documentation where appropriate.
We are looking for a Data Engineer to support a long-term contract assignment in Beverly Hills, California. This position focuses on preparing, validating, and organizing access-related data to help deliver reliable site deployments and ensure accurate user provisioning across connected systems. The role works closely with Facilities, Identity, Security, and vendor teams to improve data quality, support implementation activities, and maintain consistent rollout processes across locations.<br><br>Responsibilities:<br>• Collaborate with Facilities and cross-functional partners to collect, cleanse, and verify access control information before deployment activities begin.<br>• Reconcile user, badge, and permission records across legacy tools, Workday, Active Directory, and related platforms to maintain consistent data alignment.<br>• Build and validate migration files, import templates, and assignment lists needed for loading records into Genea and associated systems.<br>• Execute data upload activities with internal stakeholders and external vendors, then perform detailed checks to confirm completeness and accuracy.<br>• Translate site and business access needs into structured mappings that connect users with the appropriate access groups and permissions.<br>• Coordinate with Identity and Security teams to ensure access group design aligns with Active Directory, Okta, and established governance standards.<br>• Support go-live and cutover efforts by preparing final data sets, applying last-minute updates, and assisting teams during rollout windows.<br>• Maintain clear documentation for templates, mappings, validation steps, and repeatable processes while incorporating lessons learned for future deployments.<br>• Provide post-launch support by troubleshooting data issues, correcting access assignments, and helping sites transition into steady-state operations.
We are looking for a Data Engineer to help strengthen enterprise data capabilities and expand access to reliable information across the organization. This position focuses on building scalable data solutions that support analytics, reporting, and informed decision-making. Based in San Diego, California, the role works closely with both technical and business stakeholders to deliver dependable, high-quality data assets.<br><br>Responsibilities:<br>• Build and maintain robust data pipelines that move and transform information from diverse platforms into usable analytical datasets.<br>• Develop and support end-to-end integration workflows across multiple systems to ensure consistent and timely data delivery.<br>• Design data models and reporting structures that improve usability, performance, and accessibility for downstream analytics needs.<br>• Track data quality and platform performance, investigating issues and resolving reliability concerns before they affect business operations.<br>• Collaborate with cross-functional partners to translate reporting and analytics needs into scalable technical solutions.<br>• Maintain clear documentation and contribute to governance practices that promote accuracy, consistency, and operational discipline.<br>• Assist with validation, release activities, and continuous enhancements to improve the overall effectiveness of the data platform.<br>• Contribute to cloud-based data engineering efforts using tools such as Azure Data Factory, Azure Data Lake, Microsoft Fabric, Spark, Kafka, and Hadoop where appropriate.
We are looking for a Data Engineer to join a financial services organization in Greer, South Carolina on a contract basis with the potential for a permanent role. This role focuses on designing and delivering modern data pipelines in a cloud-based environment, with an emphasis on reliability, quality, and scalable data processing. The position offers the opportunity to contribute to both new development and targeted improvements across an evolving data ecosystem centered on Snowflake and event-driven ingestion.<br><br>Responsibilities:<br>• Design, build, and deliver end-to-end data pipelines in Snowflake to support business and analytics needs.<br>• Create new data integration workflows while troubleshooting and resolving issues in existing pipelines.<br>• Apply sound engineering practices for coding, documentation, testing, and deployment to improve consistency and maintainability.<br>• Balance hands-on development of new solutions with optimization work that improves performance, stability, and efficiency.<br>• Develop streaming and ingestion processes using Kafka to enable timely and dependable data movement.<br>• Strengthen observability and data quality controls so pipeline health and accuracy are easier to monitor and maintain.<br>• Help reduce technical debt by simplifying legacy data processes and modernizing pipeline design where appropriate.<br>• Contribute to AI-assisted engineering efforts by using approved tools to accelerate development, testing, and documentation activities.
<p>We are looking for a talented Data Engineer to join our team in Miami, Florida. This long-term contract position offers the opportunity to work on cutting-edge technologies and contribute to the development of efficient data pipelines and processes. The ideal candidate will have a strong background in data engineering and a passion for delivering high-quality solutions that drive business success.</p><p><br></p><p>Responsibilities:</p><p>• Design and implement scalable data pipelines using Snowflake, Python, and other relevant tools.</p><p>• Collaborate with stakeholders to gather and refine data requirements, ensuring alignment with business needs.</p><p>• Develop and maintain data models to support analytics, reporting, and operational processes.</p><p>• Optimize data warehouse performance by tuning queries and managing resources effectively.</p><p>• Ensure data quality through rigorous testing and governance protocols.</p><p>• Implement security and compliance measures to protect sensitive data.</p><p>• Research and integrate emerging technologies to enhance system capabilities.</p><p>• Support ETL processes for data extraction, transformation, and loading.</p><p>• Work with technologies such as Apache Spark, Hadoop, and Kafka to manage and process large datasets.</p><p>• Provide technical guidance and support to team members and stakeholders.</p>
<p>We are looking for a Data Engineer/Analyst to join a B2B technology team in San Francisco, California. This role focuses on turning complex business questions into clear reporting, actionable metrics, and effective dashboard solutions that support multiple teams. The ideal candidate is comfortable working with large datasets, building scalable Tableau reporting, and querying data directly in Databricks. This opportunity is well suited for someone who can balance a steady flow of requests while clearly communicating insights to cross-functional stakeholders.</p><p><br></p><p>This is a 3-6 month contract opportunity. </p><p><br></p><p><br></p><p>Responsibilities:</p><p>• Oversee and prioritize a continuous pipeline of analytics requests coming from different business groups to ensure timely delivery of insights.</p><p>• Investigate reporting issues, resolve dashboard errors, and create new Tableau dashboards designed for long-term scalability and usability.</p><p>• Convert loosely defined business needs into measurable KPIs, structured analysis, and intuitive data visualizations.</p><p>• Write and refine SQL queries against the Databricks data lake to retrieve accurate data for reporting and analysis.</p><p>• Prepare large datasets by extracting, transforming, merging, and summarizing information from multiple sources.</p><p>• Improve query efficiency and enhance data structures to support faster, more reliable dashboard performance.</p><p>• Develop reporting focused on operational metrics such as performance trends, transfer activity, and response or resolution measurements.</p><p>• Design visual outputs such as trend analyses, comparison views, and region-based reporting to help stakeholders interpret results quickly.</p><p>• Present dashboards to partners and explain the methodology, assumptions, and logic behind the analysis in a clear manner.</p>
<p>Robert Half is seeking a <strong>Contract Data Engineer</strong> to support our client’s data and analytics initiatives. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that enable efficient data ingestion, transformation, and delivery. The ideal candidate has strong experience working with modern data platforms, cloud environments, and large-scale datasets.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li><strong>Data Pipeline Development:</strong> Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources.</li><li><strong>Data Architecture:</strong> Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs.</li><li><strong>Cloud Data Platforms:</strong> Work within cloud environments such as <strong>AWS, Azure, or GCP</strong> to deploy and manage data solutions.</li><li><strong>Data Warehousing:</strong> Design and support enterprise data warehouses using platforms such as <strong>Snowflake, Redshift, BigQuery, or Azure Synapse</strong>.</li><li><strong>Big Data Processing:</strong> Develop solutions using big data technologies such as <strong>Spark, Databricks, Kafka, and Hadoop</strong> when required.</li><li><strong>Performance Optimization:</strong> Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency.</li><li><strong>Data Quality & Reliability:</strong> Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability.</li><li><strong>Collaboration:</strong> Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions.</li><li><strong>Documentation:</strong> Maintain detailed documentation for pipelines, data flows, and system architecture.</li></ul><p><br></p>
We are looking for a Data Engineer to join a growing financial services organization in Chicago, Illinois. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building in a developing data environment, contributing to a modern cloud-based platform, and helping shape the next phase of the team’s capabilities. You will work closely with key data stakeholders in a nimble setting where initiative, sound judgment, and adaptability are highly valued.<br><br>Responsibilities:<br>• Design and support data workflows that collect, refine, and deliver information across a contemporary cloud ecosystem.<br>• Develop and enhance scalable data pipelines using Python and automated ingestion platforms such as Fivetran or comparable tools.<br>• Model and transform datasets within Snowflake to enable reliable analytics and downstream business intelligence reporting.<br>• Collaborate closely with the data architect to expand and improve the organization’s overall data infrastructure.<br>• Contribute to reporting readiness by preparing curated datasets for visualization tools including Power BI and Sigma.<br>• Monitor pipeline performance and resolve data issues to maintain accuracy, consistency, and dependable delivery.<br>• Assess emerging technologies and recommend practical additions to the data stack as business needs evolve.<br>• Work effectively in a fast-paced team environment where priorities can shift and new tooling may be introduced regularly.
We are looking for an experienced Data Engineer to help design and support scalable cloud-based data platforms in Jacksonville, Florida. This role focuses on building resilient data solutions in Azure, improving end-to-end data processing, and helping ensure strong performance across distributed systems. You will work closely with global engineering partners, contribute technical direction, and support a reliable delivery model in an Agile environment.<br><br>Responsibilities:<br>• Design, implement, and maintain cloud data infrastructure within Azure, using automation and infrastructure-as-code practices to improve consistency and scalability.<br>• Build and enhance enterprise data pipelines for ingestion, transformation, and processing using Databricks, Apache Spark, and Azure Data Factory.<br>• Provide technical leadership for cloud data platforms by driving architecture decisions that strengthen availability, performance, and long-term scalability.<br>• Collaborate daily with offshore and international engineering teams to align on development priorities, review code, and share technical knowledge across time zones.<br>• Participate actively in Agile ceremonies such as sprint planning, stand-ups, backlog refinement, readiness reviews, and retrospectives to support predictable delivery.<br>• Mentor data engineers through coaching, design guidance, and code review feedback that promotes high engineering standards.<br>• Support production operations by investigating incidents, resolving system bottlenecks, and leading root-cause analysis to improve platform reliability.<br>• Create and maintain architecture documentation, operational runbooks, and technical decision records to support distributed team execution.
We are looking for a skilled Data Engineer to join our team on a long-term contract basis. In this role, you will play a critical part in managing and organizing data systems, ensuring they are optimized for performance and scalability. Based in New York, New York, this position offers an exciting opportunity to work on cutting-edge data platforms and contribute to impactful business solutions.<br><br>Responsibilities:<br>• Design, develop, and maintain data pipelines to support efficient data integration and processing.<br>• Implement and manage Snowflake-based data repositories to centralize and secure organizational data.<br>• Utilize Palantir to standardize and analyze data across multiple divisions, ensuring consistency and accuracy.<br>• Develop ETL processes to extract, transform, and load data from various sources into centralized systems.<br>• Collaborate with stakeholders to define data requirements and optimize system performance.<br>• Leverage tools like Apache Spark, Hadoop, and Kafka to build scalable data solutions.<br>• Monitor and troubleshoot data systems to ensure reliability and address any issues promptly.<br>• Deploy advanced analytics and AI models to drive operational efficiencies.<br>• Document processes and provide technical support to ensure smooth implementation and usage of data systems.
We are looking for a Data Engineer to join a long-term contract opportunity based in Austin, Texas. In this role, you will turn high-level data architecture direction into practical engineering solutions that strengthen a warehouse-first approach and improve how data is collected, transformed, governed, and shared. You will work with technical and business partners to build reliable data foundations that support both operational processes and analytics. This position also plays an important part in elevating internal data engineering practices through clear documentation, reusable standards, and hands-on knowledge sharing.<br><br>Responsibilities:<br>• Convert architectural guidance into scalable data pipeline designs and warehouse implementation patterns that support consistent delivery.<br>• Build and maintain workflows that ingest source data, prepare it for downstream use, and organize it across raw, staging, curated, and consumption layers.<br>• Assess integration approaches and recommend when data should move directly between applications versus through the warehouse for better governance and reuse.<br>• Create repeatable standards for orchestration, transformation, testing, monitoring, documentation, and support handoff.<br>• Develop and support cloud data warehouse solutions using Snowflake, Matillion, DBT, or comparable data engineering tools based on platform needs.<br>• Collaborate closely with integration and cross-functional team members to explain technical choices, guide implementation decisions, and strengthen team capability.<br>• Produce clear documentation covering data flows, lineage, dependencies, architecture decisions, and operational expectations.<br>• Deliver hands-on engineering leadership that enables durable solutions without creating long-term dependency on external support.
<p>A Manufacturing and distribution company is looking for a Data Engineer with 3 + years of experience to join a dynamic team in Oklahoma City, Oklahoma. In this role, you will play a crucial part in designing and maintaining data infrastructure to support analytics and decision-making processes. You will be a key contributor in developing, optimizing, and maintaining the data infrastructure that supports analytics and business intelligence initiatives, and data driven decision-making using Snowflake, Matillion, and other tools. Position will be in-office to work closely with the team. You must live in the Oklahoma City area. Client is unable to sponsor. No 3rd parties please.</p><p><br></p><p>Responsibilities:</p><p><br></p><p>• Design, develop, and maintain scalable data pipelines to support data integration and real-time processing.</p><p>• Implement and manage data warehouse solutions, with a strong focus on Snowflake architecture and optimization.</p><p>• Write efficient and effective scripts and tools using Python to automate workflows and enhance data processing capabilities.</p><p>• Work with SQL Server to design, query, and optimize relational databases in support of analytics and reporting needs.</p><p>• Monitor and troubleshoot data pipelines, resolving any performance or reliability issues.</p><p>• Ensure data quality, governance, and integrity by implementing and enforcing best practice</p>
Epic Senior Analyst. Quality and Population Health <br> The organization’s IT department is seeking an experienced Epic Senior Analyst - Quality and Population Health to support the implementation, optimization, and ongoing management of Epic applications related to quality reporting and population health initiatives. This role is responsible for configuring, building, and enhancing applications while collaborating with stakeholders, end users, and technical teams to ensure optimal functionality, workflow alignment, and system access. The position also supports entry level team members in daily operations and application issue resolution. <br> Core Responsibilities <br> • Collaborate with stakeholders, end users, and application team members to optimize application configuration, functionality, and access. • Serve as a primary support contact for application end users. • Participate in the design, development, implementation, and maintenance of Epic applications. • Support system testing and assist with workflow documentation. • Analyze the impact of technology on clinical workflows and validate operational changes. • Identify application issues and assist in driving resolution. • Support entry level staff with service ticket resolution, application updates, data requests, and day to day operational support. • Collaborate with training teams on documentation and training strategies related to system updates. • Work with stakeholders and end users to ensure applications meet organizational clinical and operational needs. • Participate in on call rotations and relevant meetings or committees. • Maintain regular communication with team members and provide project updates to leadership. <br> Role Specific Responsibilities <br> • Build and maintain clinician workflows and HEDIS quality measures supporting Medicare Advantage programs. • Configure and support CMS Quality Payment Program reporting including MIPS, MVP, and MACRA within Epic. • Support clinician workflows related to eCQM and Promoting Interoperability programs. • Apply knowledge of clinical terminology, workflow optimization, clinical decision support, health maintenance, and data integration. • Support business intelligence and analytics initiatives aligned with industry standards and best practices. • Build and support Epic clinical and administrative workflows. • Provide day to day application support including service ticket resolution, application enhancements, and data requests. • Analyze new Epic releases and determine potential workflow impacts. • Collaborate with project teams and provide updates on project status and issue resolution. <br> This list of responsibilities may be expanded as needed. <br> Core Qualifications <br> • Bachelor’s degree in a related field. • Epic Healthy Planet or Epic Ambulatory Certification preferred. • Minimum of 3 years of relevant experience, preferably in healthcare or healthcare related environments. • Strong operational, project management, and organizational skills.
<p>We are looking for a Workforce Management Analyst to support planning and performance analysis for operational teams in Minnetonka, Minnesota. This contract to hire opportunity is ideal for someone who can turn complex business data into reliable forecasts, staffing plans, and actionable recommendations. The role partners closely with leaders across functions such as enrollment, billing, reconciliation, and appeals and grievances to improve service performance and align resources with business needs.</p><p><br></p><p>Responsibilities:</p><p>• Create workload projections by analyzing historical patterns, business drivers, and anticipated changes that may affect demand.</p><p>• Develop staffing and capacity plans that balance service expectations, productivity assumptions, and budget considerations for assigned business areas.</p><p>• Maintain and refine workforce planning models by validating inputs, adjusting assumptions, and reconciling forecast outputs against operational results.</p><p>• Evaluate performance gaps through detailed analysis and identify the factors influencing misses to targets or service levels.</p><p>• Build scenario models that help business partners understand operational tradeoffs, resource impacts, and planning options.</p><p>• Present forecast rationale, planning assumptions, and analytical findings in a clear manner to leaders and cross-functional stakeholders.</p><p>• Use workforce management platforms and reporting tools to monitor trends, support planning activities, and improve decision-making.</p><p>• Collaborate with onsite and hybrid teams to support workforce strategies across functions beyond a traditional call center environment, including enrollment, billing, reconciliation, and appeals and grievances.</p>
We are looking for a detail-oriented Quality Assurance Analyst to help ensure the performance, usability, and reliability of digital products in Dallas, Texas. In this role, you will evaluate web-based applications, document issues clearly, and collaborate with technical teams to improve overall product quality. The position is well suited for someone who thrives in a fast-paced delivery environment and brings hands-on experience with testing processes across digital platforms.<br><br>Responsibilities:<br>• Execute manual and automated test activities for web applications and digital platforms to confirm features work as intended.<br>• Create, maintain, and update test cases, test scenarios, and supporting documentation aligned with product requirements and release goals.<br>• Detect, record, and track defects, then work closely with developers and stakeholders to support timely resolution.<br>• Validate fixes and perform regression testing during recurring enhancement and release cycles.<br>• Partner with Agile team members in planning, review, and testing discussions to promote quality throughout development.<br>• Assess application behavior, functionality, and user experience to identify risks that may affect system stability or performance.<br>• Use testing tools and support platforms, including Selenium and Zendesk, to manage test execution and issue reporting.
<p>We are looking for an AI Business Analyst/Consultant to join a contract opportunity in Massachusetts. This role partners with business leaders, technical teams, and design stakeholders to shape operational improvements, define system needs, and support AI-driven solutions that enhance how work gets done. The ideal candidate brings strong business analysis skills, product thinking, and the ability to turn loosely defined ideas into practical plans, clear requirements, and prioritized execution.</p><p><br></p><p>Responsibilities:</p><p>• Partner with operational teams, leadership, engineers, and UX professionals to gather needs and convert business objectives into clearly documented initiatives.</p><p>• Analyze existing workflows, identify inefficiencies, and recommend system enhancements or AI-enabled approaches that improve business performance.</p><p>• Lead discovery conversations by asking targeted questions, uncovering missing details, and translating broad concepts into actionable requirements for development teams.</p><p>• Organize project priorities, maintain delivery plans, and help ensure work remains aligned with timelines, business goals, and stakeholder expectations.</p><p>• Create structured documentation such as process maps, user stories, feature definitions, and task breakdowns to support solution delivery.</p><p>• Collaborate with technical teams on both business systems projects and AI-focused initiatives designed to modernize operational processes.</p><p>• Support reporting and data visualization efforts by working with business intelligence tools to present insights that inform decision-making.</p><p>• Facilitate communication across cross-functional groups to keep initiatives moving forward and resolve ambiguity during the development lifecycle.</p>