Top Data & Analytics Jobs

Develop and enhance algorithms and automated processes in Azure, apply AI/LLM use cases, collaborate with business teams, improve deliverables, introduce new technologies, and follow CI/CD and Agile practices.

Lead hands-on design and delivery of scalable cloud-based data platforms and Lakehouse solutions, build high-volume batch and streaming pipelines, define standards for data modeling, quality, lineage, security, and observability, create reusable patterns, mentor engineers, and partner with product, AI, security, and governance stakeholders to enable analytics and AI use cases.

Lead the design and development of scalable data architectures and pipelines for enterprise analytics, ensuring data security and quality while mentoring a team of data engineers.

The Associate Quality Analyst's role involves participating in quality assurance activities, developing and executing test cases, reporting defects, and collaborating in a scrum team for user story development and testing automation.

Design, build, and operate scalable cloud-native ETL/ELT pipelines and data platforms (Databricks, Snowflake) ensuring data quality, governance, performance, and enablement of analytics and AI/ML workloads. Partner with stakeholders, apply data modeling and transformations, modernize legacy ETL, follow CI/CD and secure engineering practices, and mentor junior engineers.

Lead ETL and data warehouse testing efforts using SQL, Python, automation frameworks and AI-assisted tools. Validate ETL/ELT processes, perform data reconciliation and lineage analysis, develop automated test frameworks, integrate tests into CI/CD, mentor junior QA, and collaborate with engineers to resolve defects and improve data quality.

Lead quantitative analyses to design, implement, and evaluate Medicare and Medicaid payment models. Query large claims/enrollment datasets, build payment calculations, financial and quality metrics, and apply ML/econometric/predictive models. Mentor staff, write reproducible code and documentation, develop client relationships, perform rapid ad-hoc analyses, and help integrate AI into technical workflows.

Design, build, and operate scalable cloud-native data pipelines, platforms, and production services. Implement data modeling, orchestration, CI/CD, and IaC. Develop AI/LLM agent solutions, RAG, and prompt-engineered workflows. Ensure reliability, performance optimization, monitoring, and mentor junior engineers.

Lead enterprise data architecture and platform design across cloud, hybrid, and on‑prem environments. Own data modeling, database architecture, lake house/warehouse implementations, ETL/ELT pipelines, data governance, security, observability, and DevOps automation. Mentor teams, align platforms to business goals and regulatory needs, and drive modernization and performance optimization.

Develop and maintain provider- and market-level performance scorecards and reporting, analyze large healthcare datasets to identify trends and improvement opportunities, support provider accountability and value-based care initiatives, produce executive-ready insights, and partner with clinical, network, and BI teams to drive performance improvement.