At CSpring, we believe in the power of data to drive decisions and real-world impact. We’re a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex problems, gain insights, and achieve measurable results.
We're seeking talented professionals who are collaborative, curious, and committed to making a difference that thrive at the intersection of data, technology, and business strategy. Whether you're passionate about transforming public programs, enabling executive decision-making, or modernizing legacy systems, you'll find meaningful work and purpose here.
Why You’ll Love Working Here
- Purposeful Projects – Improve systems that serve real people by delivering smarter data, streamlined processes, and strategic insight.
- People-First Culture – We’re as committed to your growth as we are to delivering high-impact solutions. You’ll find support, autonomy, and community here.
- Strategic, Hands-On Work – From data architecture and documentation to client workshops and solution delivery, you’ll influence every step of the process.
- Collaborative Trust – Our clients rely on us to listen carefully, deliver consistently, and guide wisely. We partner with integrity, curiosity, and heart.
What You’ll Do
You’ll provide hands-on architecture and engineering leadership for enterprise data warehousing, reporting, and analytics modernization:
- Own end-to-end application and technical architecture for reporting, analytics, data integration, and transaction-based processing solutions across on-premises platforms and future cloud services.
- Translate business, operational, and regulatory requirements into maintainable system designs, including configurable business rules, effective-dated reference data, traceability, auditability, and reconciliation.
- Design and lead modernization of legacy ETL, SQL logic, Linux/Unix scripts, and manual processing into Python-based applications and automation, using enterprise data platforms efficiently for high-volume processing.
- Provide hands-on technical leadership across architecture, development, code review, testing, deployment, performance tuning, and production support to unblock the team.
- Build proof-of-concepts that compare solution options, document measurable results, and support architecture decisions with the customer and leadership.
- Define technical architecture across web/UI, API and service layers, processing engines, databases, orchestration, scheduling, security, identity/access, monitoring, and backup/recovery, in partnership with infrastructure, security, cloud, and data peers.
- Lead BI and analytics delivery including enterprise report design, drill-down and detail reporting, reconciliation, data quality, and modernization of legacy reporting capabilities.
- Establish engineering practices using Azure DevOps or equivalent – epics and user stories, repositories, branching, pull requests, code review, CI/CD, release traceability, and production deployment – and apply AI and automation with appropriate governance to accelerate analysis, conversion, documentation, and testing.
- Produce architecture diagrams, solution designs, technical specifications, dataflow and interface documentation, implementation of roadmaps, estimates, risks, and operational support models.
- Lead and mentor architects, data engineers, ETL and BI developers, modelers, analysts, and testers; build backup coverage and develop team capability.
- Present architecture, options, risks, and recommendations concisely to customer stakeholders and Optum leadership, creating clarity across ambiguous scope, legacy constraints, and accelerated timelines.
