Jobs at CSpring

Designs, automates, and executes tests for enterprise data warehouse ETL processes in a Medicaid environment. Responsibilities include source-to-target data validation, complex SQL analysis, test strategy development, defect management, regression testing, and Python-based automation. The role collaborates with developers and stakeholders in Agile teams while validating data integrity, transformations, business rules, and pipeline performance across Informatica, Teradata, Azure, and Azure Data Factory.

Supports grant-funded data, analytics, reporting, business operations, and data governance initiatives. Responsibilities include gathering requirements, defining project scope, tracking work in Azure DevOps, maintaining audit-ready documentation, managing risks and dependencies, mapping data assets, documenting metadata and lineage, resolving data-definition issues, and developing governance scorecards. The role bridges business stakeholders, technical teams, data owners, vendors, and program leaders.

Develops business operations best practices, leads data mapping and lineage documentation, resolves data definition conflicts, implements data quality controls, maintains data catalogs, and creates governance reports. The role also supports financial audits, purchase order tracking, workflow improvements, training, relationship management, and strategic planning through KPI tracking.

Support data governance operations by managing data requests, metadata, data dictionaries, quality rules, stewardship initiatives, policies, SOPs, training, and governance metrics. Coordinate with legal, data owners, stewards, and agency leaders to enforce data-sharing, retention, classification, and access controls. Maintain catalogs and dataset documentation, resolve quality issues, track SLAs, and report progress against the governance roadmap.

Source and engage candidates for technology and consulting roles, conduct initial video screens, assess qualifications, maintain recruiting-system records, and provide candidate recommendations. The role emphasizes relationship building, outreach, goal achievement, resilience, organization, and continuous learning. No prior recruiting or technical experience is required; training and coaching are provided through CSpring Catalyst.

Own the strategy, roadmap, delivery, measurement, and adoption of enterprise data products, including analytics, privacy, segmentation, predictive models, and platform capabilities. Translate stakeholder needs into product requirements, guide technical teams, manage planning and releases, monitor product metrics, communicate with executives, and improve or retire products based on usage and business impact.

Coordinates Indiana’s rural health grant program across multiple regions. Manages grant and contract compliance, budgets, documentation, milestones, reporting, performance tracking, and corrective actions. Serves as a liaison among state agencies, healthcare organizations, regional coalitions, and community partners while convening meetings and supporting consistent grant-management practices. Helps partners meet CMS and state requirements and sustain measurable rural health improvements.

Lead enterprise data architecture and modeling for Medicaid, Medicare, commercial healthcare, and analytics environments. Design conceptual, logical, physical, dimensional, normalized, OLAP, and Data Vault models; define data quality, governance, metadata, security, and compliance practices. Produce model documentation and collaborate with architects, engineers, DBAs, BI developers, and business stakeholders. Support Teradata modernization and migration to Azure Synapse, Databricks, Snowflake, and lakehouse architectures.

Design, develop, and maintain enterprise ETL pipelines and scalable data processing using ADF, Informatica, Python, Spark/Databricks, and relational systems. Support Medicaid analytics, data validation, cloud migrations, production operations, and CI/CD practices.

Support a statewide Informatica MDM program by performing SQL-based data profiling, validation, testing, and reconciliation. Analyze matching and survivorship issues, document findings and remediation, gather business and technical requirements, support UAT/QA, and assist data governance and stewardship to improve cross-agency data quality and MDM operations.

Develop, schedule, monitor, and troubleshoot MDM and ETL processes using Informatica MDM. Create mappings, workflows, and scripts; build and tune SQL for Teradata data marts; support production issues, testing, and data governance. Collaborate with QA and stakeholders to validate, optimize, and document MDM solutions.