We are looking for a Data Analyst to support a long-term contract engagement in Middletown, Delaware. This position is ideal for someone who combines strong technical integration expertise with a practical understanding of accounting-related systems, especially within QuickBooks desktop environments. The role will focus on assessing data flow, identifying efficient integration approaches, and helping business stakeholders turn operational needs into workable technical solutions.<br><br>Responsibilities:<br>• Evaluate existing systems and recommend effective integration approaches between QuickBooks desktop platforms and related business applications.<br>• Review DataForma capabilities and determine practical options for connecting, exchanging, or synchronizing information across systems.<br>• Analyze current data structures to support imports, exports, migration planning, and process automation opportunities.<br>• Work closely with business users to gather needs, clarify challenges, and translate operational goals into technical recommendations.<br>• Troubleshoot data movement issues and help define reliable methods for improving accuracy, consistency, and efficiency.<br>• Support project execution by documenting integration logic, data handling requirements, and solution considerations for stakeholders.<br>• Collaborate with onsite and remote teams to ensure proposed solutions align with system access constraints and project timelines.
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.<br><br>Responsibilities:<br>• Create, refine, and optimize database queries across multiple query languages to support reporting, analysis, and operational needs.<br>• Partner with internal stakeholders to gather reporting goals, translate requirements into effective dashboards and visualizations, and enhance BI solutions over time.<br>• Build and maintain data interfaces that connect enterprise systems, databases, and external sources to ensure dependable data flow.<br>• Administer and monitor on-premise and cloud-based databases, helping maintain performance, availability, data quality, and security standards.<br>• Design and deliver custom analytics tools, automated workflows, and data-driven solutions that improve efficiency and align with business priorities.<br>• Provide advanced troubleshooting and support for BI, reporting, and analytics platforms, including handling escalated issues and assisting frontline support when needed.<br>• Prepare and update technical documentation for reports, integrations, databases, automated processes, and other data solutions.<br>• Contribute to ETL and pipeline activities that support consistent data transformation, movement, and accessibility across platforms.
<p><strong>Pricing/Data Analyst </strong></p><p> </p><p>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.</p><p><br></p><p><strong>Responsibilities of Pricing/Data Analyst </strong></p><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><p><br></p>
<p><strong>Overview</strong></p><p>We 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.</p><p><br></p><p><strong>POSITION: DATA ANALYST</strong></p><p><strong>LOCATION: REMOTE</strong></p><p><strong>DURATION: CONTRACT</strong></p><p><br></p><p><strong>RESPONSIBILITIES:</strong></p><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>
<p>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. <strong><em>Local candidates to the Greater Milwaukee area with Healthcare Epic experience is desired. </em></strong></p><p><br></p><p>Responsibilities:</p><p>• Create and maintain dashboards, scorecards, and recurring reports that combine Epic data with financial and operational information from connected platforms.</p><p>• Work with leaders across finance, operations, and clinical teams to define measurable indicators and track performance in patient services, revenue activity, and resource use.</p><p>• Gather, clean, and evaluate large datasets to support forecasting, monthly business reviews, and long-range planning initiatives.</p><p>• Present findings in a clear, business-focused format so non-technical stakeholders can understand trends, risks, and opportunities.</p><p>• Collaborate with IT and data governance partners to uphold data accuracy, reporting consistency, and compliance with organizational standards.</p><p>• Identify patterns in clinical and administrative workflows and recommend improvements that increase efficiency and support better decision-making.</p><p>• Contribute to reporting automation and process enhancements that improve speed, reliability, and access to timely performance data.</p>
<p>Our client is seeking a Data Scientist II – Generative AI to join a cutting-edge team focused on building scalable, production-ready AI solutions that transform business workflows and deliver measurable impact across global operations. This role is ideal for professionals passionate about leveraging Generative AI technologies, creating intelligent agents, and driving innovation at scale.</p><p><br></p><p>You will design and implement GenAI-powered agents that streamline internal processes, enhance productivity, and support business development initiatives. Responsibilities include developing robust prompt engineering frameworks, building RAG pipelines, and converting prototypes into production-ready solutions. You’ll collaborate closely with engineering and business teams to ensure solutions meet diverse client needs and are optimized for global deployment.</p><p><br></p><p>Key projects include extending the company’s GPT platform, creating AI agents that improve efficiencies for RFP development, onboarding materials, and SOW requirements. Success in this role means quickly ramping up on backlog projects, delivering high-priority initiatives, and staying ahead of emerging GenAI frameworks to continuously advance internal AI capabilities.</p>
<p><strong>Responsibilities</strong></p><ul><li>Develop scalable, reusable Python applications and services that integrate external data sources, internal platforms, and enterprise databases.</li><li>Partner with business stakeholders to gather requirements and translate operational needs into technical solutions.</li><li>Design, build, and support data ingestion frameworks, ETL processes, and enterprise data pipelines.</li><li>Promote code quality, maintainability, and standardization across shared development libraries and tooling.</li><li>Enhance internal developer utilities, automation frameworks, and data engineering best practices.</li><li>Collaborate with distributed teams to deliver reliable, high-performing solutions across multiple business functions.</li><li>Contribute to technical knowledge sharing, development standards, and continuous improvement initiatives.</li></ul><p><br></p>
<p><strong>Data Analyst I</strong></p><p><strong>4-month Contract with potential extensions/conversion</strong></p><p><strong>Hybrid, 4 days/week onsite in Phoenix, AZ; Shift 6:00am-2:30pm</strong></p><p><br></p><p>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.</p><p><br></p><p>Responsibilities:</p><p>• Review reporting and workflow activity to detect patterns, recurring issues, and opportunities to improve day-to-day operations.</p><p>• Conduct root cause analysis on service or process problems and recommend practical, lasting solutions.</p><p>• Investigate complex cases or unfamiliar requests, using research and data analysis to drive resolution.</p><p>• Create clear documentation for findings, process updates, recommendations, and operational changes.</p><p>• Partner with cross-functional teams to simplify procedures, reduce manual effort, and improve consistency.</p><p>• Use tools such as SQL, SharePoint workflows, and reporting platforms to analyze performance and support decision-making.</p><p>• Track closed-ticket activity and related metrics to identify inefficiencies and support continuous improvement initiatives.</p><p>• Contribute to process changes and workflow enhancements that strengthen service quality and operational effectiveness.</p>
<p>We are seeking an experienced <strong>Clinical Data Architect / Data Management Specialist</strong> to support the design, integration, cleansing, and processing of clinical data across multiple healthcare data sources. This role will focus on developing scalable data frameworks, establishing data standards, and transforming disparate healthcare data into a cohesive longitudinal data model to support analytics, reporting, and operational needs.</p>
<p><strong>Data & Knowledge Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A leading artificial intelligence and advanced analytics organization is seeking a Data & Knowledge Engineer to help power next-generation AI and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data from disparate sources into unified intelligence systems that support advanced analytics, automation, and operational decision-making. This is an opportunity to work on mission-critical initiatives involving large-scale data, knowledge graphs, and AI-driven applications.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Data & Knowledge Engineer will lead the onboarding, transformation, and governance of complex multimodal data into scalable data and knowledge platforms. This role focuses on integrating structured and unstructured data sources, designing reusable data pipelines, developing entity resolution frameworks, and enabling high-quality data for analytics, retrieval, AI workflows, and geospatial applications. The ideal candidate combines strong data engineering expertise with experience in knowledge graphs, data quality, and large-scale information management.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and develop scalable data ingestion pipelines for structured, unstructured, geospatial, and sensor-based data sources.</li><li>Build and maintain batch and streaming data processing systems across cloud, on-premises, and disconnected environments.</li><li>Develop integrations with APIs, databases, file systems, enterprise applications, and external data sources.</li><li>Design schema mapping, normalization, and transformation processes that support diverse customer data models.</li><li>Implement entity resolution, record linkage, deduplication, and data matching capabilities across multiple sources.</li><li>Preserve data lineage, provenance, auditing, and traceability throughout the data lifecycle.</li><li>Create data validation, monitoring, replay, and exception-handling processes for complex data environments.</li><li>Develop workflows for managing ambiguous records, conflicting information, and data quality issues.</li><li>Define and measure data quality metrics, onboarding effectiveness, and operational performance indicators.</li><li>Support knowledge graph, retrieval, AI, and analytics capabilities through high-quality governed datasets.</li><li>Partner with engineering and stakeholder teams to transform recurring onboarding requirements into reusable platform capabilities.</li><li>Contribute to platform architecture, engineering standards, and long-term data strategy initiatives.</li></ul><p><strong>Additional Details</strong></p><ul><li>Fully onsite 5 days a week</li><li>Full-time exempt position</li><li>Hands-on engineering role with substantial ownership and technical influence</li><li>Opportunity to work on large-scale data, knowledge graph, and AI-driven initiatives</li><li>Staff-level candidates may provide architectural leadership, mentorship, and engineering guidance</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
<p>Robert Half Management Resources is recruiting for a Procurement Analytics & AI Enablement Consultant to support a procurement-focused transformation effort to support our global entertainment client based in Los Angeles, California. This long-term hybrid contract opportunity is ideal for someone who can turn operational data into clear insights, build scalable reporting solutions, and strengthen team adoption of digital collaboration and AI-enabled tools. The person in this role will partner with stakeholders to improve visibility into priorities, performance, and opportunities through dashboards, automated reporting, and structured knowledge-sharing resources.</p><p><br></p><p>Responsibilities:</p><p>• Create executive-facing dashboards that highlight procurement activity, initiative status, potential value opportunities, and overall performance trends.</p><p>• Develop automated reporting processes by connecting Asana and other relevant data sources to deliver timely, reliable updates with less manual effort.</p><p>• Establish and manage a centralized SharePoint environment that organizes key documents, communications, and reference materials for the broader team.</p><p>• Promote effective use of SharePoint by defining content governance practices and ensuring information remains accurate, current, and easy to locate.</p><p>• Produce practical AI learning materials that help teams apply generative AI to sourcing activities, supplier outreach, proposal review, negotiation support, and reporting tasks.</p><p>• Lead workshops, user training sessions, and support hours to build confidence and increase adoption of AI-driven tools and workflows.</p><p>• Design reusable prompt libraries, templates, and productivity resources that enable more consistent and efficient ways of working.</p><p>• Identify workflow improvement opportunities within Asana and related processes to enhance operational efficiency and strengthen data quality.</p><p>• Support analytics needs tied to large-scale transformation or post-merger integration activities as part of the broader procurement program.</p><p>• Partner with stakeholders to gather feedback and continuously enhance reporting tools and analytics solutions.</p>
<p>Robert Half Management Resources is looking for a Business Analytics/Data Analyst to support one of our clients on an interim basis. This role will contribute to Workday supply chain and procurement efforts by improving data quality, validating converted records, and resolving issues that affect system readiness. The position works closely with project stakeholders to ensure legacy information is accurately prepared, tested, and aligned with business rules in the target environment.</p><p><br></p><p><u>Responsibilities:</u></p><p>• Prepare, map, and transform legacy supply chain and procurement data for upload into Workday using approved conversion tools and templates.</p><p>• Perform detailed comparisons between source records and Workday data to confirm completeness, accuracy, and adherence to defined business rules.</p><p>• Investigate conversion failures and data-related defects, identify root causes, and coordinate fixes for issues affecting inventory, suppliers, requisitions, and purchasing records.</p><p>• Partner with functional leads, analysts, and implementation team members to address data discrepancies and keep conversion activities moving on schedule.</p><p>• Support unit, integration, and broader testing cycles by building reliable data sets and confirming converted information performs correctly in test environments.</p><p>• Use Excel, SQL, and related analysis tools to cleanse, reconcile, and organize large datasets for migration and validation activities.</p><p>• Track issues in project management or defect logging tools and provide clear updates on status, findings, and resolution progress.</p>
We are looking for a Data Solutions Engineer to support retail data initiatives in Minnesota. This long-term contract opportunity is suited for a hands-on data specialist who can shape scalable data solutions, strengthen reporting capabilities, and guide technical teams toward reliable delivery. The role combines data engineering, business intelligence, and stakeholder collaboration to create trusted data assets that support operational and strategic decision-making.<br><br>Responsibilities:<br>• Guide and support data engineering and BI team members by setting direction, encouraging growth, and promoting strong cross-functional collaboration.<br>• Translate business priorities into measurable delivery goals, establish performance indicators, and monitor progress against expected outcomes.<br>• Architect, develop, and maintain robust data pipelines that move and transform information across internal platforms and third-party sources.<br>• Oversee ETL operations to ensure data is accurate, timely, and dependable for downstream reporting and analytics needs.<br>• Build and refine data models and warehouse structures that enable reporting, advanced analytics, and future predictive or machine learning use cases.<br>• Apply sound engineering practices such as automation, source control, and repeatable development standards to improve data platform quality and efficiency.<br>• Lead the creation and enhancement of Power BI and SSRS reporting solutions with a focus on usability, consistency, and alignment with business objectives.<br>• Partner with business stakeholders to gather requirements, convert them into technical designs, and deliver scalable BI and data solutions.<br>• Define visualization standards, reusable datasets, and semantic layers that support self-service reporting across the organization.
<p>We are looking for a detail-oriented Data Librarian to support digital asset and metadata operations for a retail organization. This Long-term Contract position will oversee the accuracy, organization, and movement of large volumes of product and creative data across digital libraries, Airtable, and translation-related systems. The role partners closely with creative, marketing, technology, localization, and external stakeholders to keep publishing and content workflows running smoothly. This opportunity is well suited for someone who enjoys structured data, process improvement, and cross-functional coordination in a fast-paced environment.</p><p><br></p><p>Responsibilities:</p><p>• Maintain accurate and well-structured metadata across digital asset libraries and related content systems, ensuring consistency across records and classifications.</p><p>• Perform large-scale data tasks such as importing, exporting, reviewing, reconciling, and validating records to preserve data quality and usability.</p><p>• Organize and execute data mapping, cleansing, normalization, and migration activities to support library updates and ongoing operational needs.</p><p>• Develop, document, and refine repeatable processes that improve data handling, publishing support, and team efficiency.</p><p>• Monitor translation-related data workflows, including request intake, record maintenance, prioritization, and status updates for ongoing deliverables.</p><p>• Support the upkeep of translation reference resources such as terminology databases, translation memory assets, and style documentation.</p><p>• Partner with internal teams and external contributors to align on requirements, communicate risks, and resolve data issues affecting timelines or deliverables.</p><p>• Facilitate working sessions, capture decisions, and follow through on action items to keep cross-functional initiatives moving forward.</p><p>• Identify breakdowns in current workflows and recommend scalable solutions, including training and guidance for teams using data management processes.</p>
We are looking for a Database Engineer to support critical data operations for an education environment in San Antonio, Texas. This role focuses on building reliable database solutions, managing secure access to data systems, and delivering timely information to internal stakeholders. The ideal candidate brings strong technical expertise across database administration, data movement, and system documentation while helping ensure continuity, accuracy, and confidentiality in day-to-day operations.<br><br>Responsibilities:<br>• Build, maintain, and improve Microsoft Access databases to support reporting, data integrity, and operational efficiency.<br>• Manage permissions and ongoing administration for database servers, applications, and related data environments, including inbound and outbound data exchanges.<br>• Oversee secure file transfer tools and connected systems to ensure reliable movement of data across internal and external platforms.<br>• Deliver accurate data support to curriculum and assessment teams within established timelines and service expectations.<br>• Create and refine procedures that strengthen database availability, minimize service interruptions, and improve overall system resilience.<br>• Execute backup, recovery, and disaster recovery planning activities, including documenting and testing restoration processes on a regular basis.<br>• Establish and maintain database security controls that align user access with application needs and data protection standards.<br>• Document queries, filters, conversions, configurations, and technical procedures thoroughly, with records stored in accessible and redundant locations.<br>• Support user account lifecycle management, system synchronization efforts, and application administration in collaboration with infrastructure and support teams.<br>• Partner with staff, vendors, and technical teams to troubleshoot issues, provide training, maintain current system knowledge, and assist with broader technology operations as needed.
<p>Key Responsibilities</p><ul><li>Design, develop, and maintain scalable data models, staging layers, and curated datasets within a modern cloud-based data environment.</li><li>Build and support enterprise reporting solutions, including semantic models, metrics, dashboards, and self-service analytics capabilities.</li><li>Partner with business stakeholders to gather requirements and translate complex business processes into well-structured analytical solutions.</li><li>Monitor and support scheduled data integration processes, report refreshes, and related data workflows.</li><li>Troubleshoot data quality, reporting, and pipeline issues while identifying opportunities for process improvement.</li><li>Create and maintain documentation for datasets, metrics, reporting logic, and data lineage.</li><li>Promote data quality standards, modeling best practices, and governance principles across the analytics environment.</li><li>Continuously identify opportunities to streamline workflows, improve reporting accuracy, and enhance data accessibility.</li></ul><p><br></p>
<p><strong>Job Summary</strong></p><p>We are seeking a Data Analyst with strength in data visualization and the use of AI tools to support reporting, dashboard development, and business insights. This role will transform data into meaningful visual outputs, identify trends, and help improve decision-making through modern analytical tools. The ideal candidate is curious, analytical, and skilled at presenting data in a clear and impactful way.</p><p><strong>Key Responsibilities</strong></p><ul><li>Analyze data from multiple sources to identify trends and insights</li><li>Build dashboards, reports, and visualizations for business users</li><li>Support data quality, validation, and cleansing efforts</li><li>Use AI-enabled tools to streamline analysis and reporting workflows</li><li>Translate business questions into actionable data outputs</li><li>Partner with stakeholders to define reporting needs</li><li>Present findings in a clear, concise, and visually effective format</li><li>Support process improvement and automation initiatives</li></ul><p><br></p>
We are looking for an experienced Healthcare SQL/Python Data Analyst to join our team in Sarasota, Florida. In this role, you will play a critical part in analyzing and integrating healthcare data to support organizational goals. If you have a strong technical background and a passion for leveraging data to improve healthcare solutions, we encourage you to apply.<br><br>Responsibilities:<br>• Perform in-depth data analysis to identify trends, insights, and opportunities for improvement within healthcare datasets.<br>• Develop and maintain SQL queries and scripts to support data extraction, manipulation, and reporting needs.<br>• Utilize Python for advanced data processing, automation, and analytical tasks.<br>• Integrate and manage data from multiple sources, ensuring accuracy and consistency.<br>• Collaborate with stakeholders to gather requirements and translate them into actionable data solutions.<br>• Design and generate reports using SSRS to present findings to internal teams and leadership.<br>• Work with HL7 standards to facilitate seamless data exchange and interoperability within healthcare systems.<br>• Troubleshoot and resolve issues related to data quality, integration, and system performance.<br>• Contribute to the development of data-driven strategies to enhance operational efficiency and patient care outcomes.
We are looking for an experienced Data/Information Architect to help shape and guide modern cloud and data architecture initiatives in Madison, Wisconsin. This contract opportunity is ideal for a senior specialist who can connect enterprise architecture strategy with hands-on engineering across cloud platforms, automation, and scalable data solutions. The role focuses on designing resilient, secure, and high-performing environments that support distributed applications, platform services, and evolving business needs.<br><br>Responsibilities:<br>• Lead the design of enterprise data and cloud architecture solutions that align technical strategy with operational goals.<br>• Create scalable architectures for distributed applications using microservices, container platforms, and serverless capabilities where appropriate.<br>• Define and implement infrastructure automation standards with tools such as Terraform, Bicep, CloudFormation, or Pulumi to improve consistency and speed.<br>• Establish CI/CD practices and deployment workflows that support reliable software delivery and efficient environment management.<br>• Architect container-based workloads with strong consideration for networking, access control, monitoring, and overall platform stability.<br>• Develop integration patterns and event-driven solution designs that improve interoperability across cloud services and business systems.<br>• Partner with engineering and business stakeholders to document architecture decisions, communicate technical direction, and support long-term roadmap planning.<br>• Contribute to modern data platform design, including data lakes, warehouses, streaming pipelines, and data modeling approaches for analytics and operational use cases.<br>• Promote secure architecture principles by embedding compliance, encryption, least-privilege access, and risk mitigation into platform and data designs.<br>• Mentor team members and encourage engineering best practices across architecture governance, cloud operations, and platform development.
<p>A leading infrastructure and transportation group is seeking a hands-on Senior Data Engineer to architect and build our next-generation Enterprise Reporting & Data Warehouse (ERDW.Next) on Databricks. Acting as the hands-on technical owner, you will drive target-state design, medallion architecture (Delta Lake), and legacy migrations off SQL Server/Synapse while remaining actively in the codebase. You will partner with our Enterprise Architect, Power BI team, business users, and offshore delivery partners across finance, construction, and safety domains.</p><p><br></p><p><strong>QUALIFIED CANDIDATES SHOULD HAVE EXPERIENCE WITH:</strong></p><ul><li>Serving as a Databricks SME</li><li>ERP integrations (strong plus)</li><li>Python / PySpark</li><li>Performance tuning and optimization</li><li>Databricks maintenance, including VACUUM</li><li>Data governance and best practices</li><li>Semantic modeling</li></ul><p><br></p><p><strong>RESPONSIBILITIES</strong></p><ul><li><strong>Architecture & Strategy:</strong> Design the ERDW.Next lakehouse (medallion/gold layer star schema) and govern data modeling, batch/streaming, and Delta Live Tables standards.</li><li><strong>Build & Migration:</strong> Write production-grade PySpark, Spark SQL, and Delta Live Tables pipelines orchestrated via Databricks Workflows. Re-engineer legacy SSIS/T-SQL/Synapse logic and ingest ERP data (JD Edwards, Anaplan) using CDC and Auto Loader.</li><li><strong>Platform Operations:</strong> Optimize cost/performance using Photon, Liquid Clustering, and OPTIMIZE. Manage CI/CD pipelines via Git and Databricks Asset Bundles while maintaining strict SLAs.</li><li><strong>Governance & AI:</strong> Implement Unity Catalog governance (entitlements, lineage, audit) and curate Databricks Genie Agents for natural-language analytics.</li><li><strong>Partner & Legacy Management:</strong> Support legacy platforms during transition and maintain code quality standards across offshore partner teams. Leverage agentic AI coding tools safely to accelerate delivery.</li></ul><p><br></p>
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.<br><br>Responsibilities:<br>• Build and maintain robust data pipelines and integration workflows that support large-scale enterprise data movement and processing.<br>• Develop transformation logic and orchestration processes using tools such as dbt, Azure Data Factory, Azure Data Lake, and related cloud-based technologies.<br>• Connect Snowflake with internal platforms, cloud services, APIs, and reporting tools to enable dependable and efficient data exchange.<br>• Work closely with product owners, architects, and technical teams to convert business needs into well-structured data models and engineering solutions.<br>• Analyze functional and non-functional requirements to design data assets and workflows that align with operational and analytical objectives.<br>• Promote sound engineering practices by defining standards for development, governance, security, and maintainability across data solutions.<br>• Validate data processing outcomes through testing, issue investigation, and resolution of transformation or pipeline errors.<br>• Track performance, reliability, and cost metrics for pipelines and recommend enhancements that improve efficiency and stability.<br>• Evaluate emerging tools and architectural patterns that can strengthen enterprise data delivery and integration capabilities.
<p>We are looking for a Data Analyst / CDP Developer to join a great organization in Southern California. This Long-term Contract position focuses on transforming customer data into reliable insights, strengthening platform performance, and supporting data-driven decisions across cross-functional teams. The role is ideal for someone who combines strong analytical thinking with hands-on development skills in SQL, Python, and cloud-based data environments. You will work onsite four days per week while partnering with technical and business stakeholders to improve data quality, workflow stability, and reporting accuracy.</p><p><br></p><p>Responsibilities:</p><p>• Examine customer event data and other high-volume datasets to uncover trends, confirm data integrity, and support informed business decisions.</p><p>• Develop, refine, and maintain complex queries across distributed data platforms such as Presto, Hive, and NoSQL environments.</p><p>• Use Python to streamline data processing, automate recurring tasks, and support platform integrations and operational workflows.</p><p>• Partner with engineering, analytics, marketing, and subject matter experts to gather requirements, validate outputs, and align solutions with business needs.</p><p>• Monitor and manage scheduled pipelines and workflow orchestration processes, resolving failures and improving overall job reliability.</p><p>• Perform investigative analysis to identify anomalies, test assumptions, and troubleshoot issues affecting data ingestion, transformation, and delivery.</p><p>• Strengthen data quality practices by implementing validation checks, alerts, and monitoring approaches that improve observability in production environments.</p><p>• Create clear documentation for data logic, business rules, workflows, issue resolution, and preventive actions using Confluence or similar tools.</p><p>• Apply version control and CI/CD standards to data scripts and related assets while helping maintain consistent development best practices.</p><p>• Ensure data handling activities follow privacy, compliance, and governance expectations when working with customer-level and production information.</p>
<p>We are looking for a Financial Data Analyst to support analytical and data-focused work. This Long-term Contract position is well suited for an early-career candidate or entry-level applicant who is eager to build hands-on experience interpreting financial information, organizing numeric data, and contributing to reporting accuracy. The ideal candidate brings a strong foundation in financial markets, advanced Excel capability, and the ability to evaluate unstructured information with precision in a fast-paced setting.</p><p><br></p><p>Responsibilities:</p><p>• Review financial data sets and transform raw numeric information into clear, usable analysis for business and reporting needs.</p><p>• Examine unstructured text and supporting records to identify relevant financial details, trends, and exceptions.</p><p>• Prepare spreadsheets, summaries, and data outputs using advanced Microsoft Excel functions to improve accuracy and efficiency.</p><p>• Enter, validate, and reconcile high-volume financial information while maintaining strong attention to detail.</p><p>• Use financial platforms and analytical tools to research, organize, and interpret market-related data.</p><p>• Support reporting activities by compiling findings, checking data integrity, and highlighting inconsistencies for follow-up.</p><p>• Collaborate with internal stakeholders to clarify data requirements and ensure timely delivery of financial analysis.</p><p>• Assist with process-related tasks tied to financial data workflows, including updates associated with system or operational changes when needed.</p>
<p>We are looking for a Director of Data Analytics to lead and expand a growing analytics function in Columbia, South Carolina. This leader will combine technical depth with strategic direction to strengthen enterprise reporting, advance data governance practices, and build strong partnerships across the institution. The role is well suited for someone who enjoys balancing hands-on problem solving with team leadership and is ready to shape a modern analytics capability.</p><p><br></p><p>Responsibilities:</p><p>• Lead the institution’s data analytics strategy while serving as a key member of the analytics leadership team.</p><p>• Oversee the development of internal reporting capabilities, reducing reliance on external reporting support and improving access to actionable insights.</p><p>• Guide the continued growth of the analytics team by recruiting, mentoring, and structuring roles across management, engineering, and analyst functions.</p><p>• Partner with administrative and academic stakeholders to understand reporting needs and translate them into scalable data solutions.</p><p>• Direct data warehouse and ingestion efforts to ensure reliable, consistent, and well-organized data for reporting and analysis.</p><p>• Establish and strengthen data governance standards that improve data quality, stewardship, and institutional trust in reporting.</p><p>• Support the evaluation and adoption of business intelligence tools, including cloud-based visualization platforms and enterprise reporting technologies.</p><p>• Contribute both strategically and technically by helping design data architecture, advising on engineering practices, and supporting complex analytics initiatives</p>
<p>We are seeking a detail-oriented <strong>Junior Data Analyst</strong> to support critical data quality and Master Data Management (MDM) initiatives. This is an excellent opportunity for an early-career data professional who enjoys working with data, troubleshooting quality issues, and ensuring information is accurate and reliable across enterprise systems.</p><p><br></p><p>Key Responsibilities</p><ul><li>Review and investigate data records that fail automated matching and validation processes.</li><li>Research and resolve data discrepancies, duplicates, and data quality exceptions.</li><li>Perform data cleansing activities, including standardization, formatting corrections, validation, and deduplication.</li><li>Monitor data quality dashboards, exception reports, and remediation queues.</li><li>Conduct root cause analysis to identify recurring data issues and recommend improvements.</li><li>Support the onboarding and ongoing maintenance of a Master Data Management (MDM) platform.</li><li>Collaborate with business stakeholders to ensure accurate data entry and data governance practices.</li><li>Document remediation activities and maintain audit trails for compliance and reporting purposes.</li><li>Assist in maintaining accurate customer, partner, and enterprise master data records.</li></ul><p><br></p>