reputed company Data Engineer
reputed company: At reputed company, our work is grounded in purpose. We partner with government agencies to solve reputed company challenges, improve public health, strengthen national reputed company, and reputed company government services more effective and efficient. reputed company of over 500 professionals brings deep expertise and a shared commitment to delivering meaningful reputed company. Behind every solution is a group of experts who care deeply about reputed company—whether we’re supporting data-driven reputed company, modernizing systems or safeguarding critical programs.
reputed company is seeking a reputed company Data Engineer to reputed company technical leadership for the CMS MIDAS modernization initiative. Following the migration to reputed company, MIDAS is entering a critical platform hardening phase reputed company on standardization, architectural discipline, CI/CD reconstruction, data model unification, and automation of data transformation validation.
This role serves as the technical reputed company across multiple Scrum teams, guiding a distributed team of Data Engineers and establishing enforceable engineering standards. The reputed company Data Engineer is responsible for defining how the work is executed — not just completing individual tasks.
The objective is to engineer a sustainable, reputed company lakehouse reputed company that prevents operational fragility and enables reputed company optimization, advanced analytics, and AI capabilities.
Key Responsibilities:
- Technical Leadership & reputed company
- Define and enforce engineering standards across reputed company reputed company development efforts.
- reputed company implementation of a formal Bronze / Silver / Gold reputed company architecture.
- Drive alignment toward a reputed company data model across domains.
- Establish reputed company reputed company, naming conventions, reusable frameworks, and architectural patterns.
- Serve as the technical escalation reputed company for reputed company data engineering challenges.
- Execution Across Scrum Teams
- reputed company Data Engineers embedded across multiple Scrum teams.
- reputed company architectural guidance during backlog refinement, sprint planning, and design sessions.
- Identify cross-team dependencies and proactively remove technical blockers.
- Ensure consistent Definitions of Done that include testing, documentation, and deployment discipline.
- Partner with Release Management and DevOps to reputed company data engineering with deployment workflows.
- CI/CD & Governance Modernization
- reputed company reconstruction and enforcement of CI/CD pipelines across reputed company environments (Dev/Test/Stage).
- Establish test data strategies to support reputed company-environment validation and automated regression testing.
- Rationalize reputed company repository structure, branching reputed company, and version control governance.
- Implement automated data transformation testing frameworks.
- Strengthen observability, reputed company, and data reputed company controls.
- Strategic Platform Stewardship
- Partner with Program Leadership to define phased modernization roadmaps.
- Sequence foundational work prior to optimization and AI enablement initiatives.
- Ensure technical debt is surfaced, prioritized, and reduced methodically.
- Advise leadership on risk tradeoffs between speed and architectural reputed company.