• Own the design and delivery of our data warehouse and data marts: models, schemas, semantic consistency, and documentation. • Build and evolve reporting foundations: curated datasets, metric definitions, and repeatable reporting patterns. • Partner with stakeholders to define source-of-truth metrics and ensure consistent definitions across teams. • Establish standards for data quality, testing, reconciliation, lineage, access control, and lifecycle management. • Drive modernization: reduce legacy data debt, simplify flows, and improve reliability and performance across the platform. • Define data contracts with application teams (schemas, events/CDC patterns) so downstream reporting is stable. • Enable self-serve analytics by making data discoverable, documented, and safe to use.

• Build and maintain data pipelines that support ingest, logging, validation, transformation, and secure data access. • Contribute to the development and improvement of scalable ETL/ELT processes under guidance from senior engineers. • Implement and evolve data models and storage patterns that support analytics and operational use cases. • Apply data quality checks, monitoring, and documentation to ensure data is accurate, reliable, and well understood. • Collaborate with internal teams and clients to understand data requirements and support analytics use cases. • Contribute to the ongoing development of Expression’s VOR Data Platform, including tooling, standards, and automation. • Participate in research, prototypes, and proof-of-concept work to evaluate new data and analytics technologies, including emerging AI-driven tools. • Follow established engineering practices and contribute ideas to improve reliability, performance, and developer experience.

• Design, maintain, and validate data schemas supporting federation and integration between C2SET and external systems • Build and support SQL and Python based ETL pipelines for operational, simulation, and analytics data • Ensure data integrity, correctness, and performance across distributed and multi tier data sources • Troubleshoot data mismatches, malformed messages, schema drift, and integration issues • Partner with modeling and simulation engineers to analyze simulation outputs and support tuning of behaviors and decision logic • Design and execute data driven experiments to evaluate model changes and operational impacts • Develop datasets, scripts, and tooling to support repeatable validation and performance analysis • Support Government analysts and integrators by delivering timely, reliable data refreshes and analysis • Perform database performance tuning and optimization for operational workloads • Maintain data documentation, metadata repositories, and data governance artifacts • Act as a functional lead for data engineering and analytics activities within the integrations team

• Own end-to-end data migrations for new and expanding customers • Import and validate patient, appointment, invoice, payment, provider, service, and membership data • Map data from a wide range of legacy systems (EMRs, POS tools, spreadsheets, exports) • Identify, clean, normalize, and reconcile inconsistent or incomplete data • Perform QA checks to ensure data accuracy, completeness, and integrity post-migration • Work directly with customers during onboarding to define migration scope and timelines • Explain data requirements, limitations, and tradeoffs in a clear, customer-friendly way • Support go-live readiness by ensuring migrated data aligns with customer workflows • Troubleshoot and resolve migration issues quickly and accurately • Maintain and improve migration playbooks, templates, and checklists • Document repeatable patterns for common legacy systems • Partner with Engineering and Product to improve migration tooling and automation • Surface recurring data issues and upstream product improvements • Partner closely with Customer Experience and Implementation teams on go-live execution • Coordinate with Engineering on complex migrations or edge cases • Provide internal visibility into migration status, risks, and blockers