Note: The job is a remote job and is open to candidates in USA. Ennoble Care is a mobile primary care, palliative care, and hospice service provider. They are seeking a hands-on technical leader to strengthen and expand their ACO analytics data infrastructure, owning the design of a unified data platform and leading the adoption of AI-augmented engineering practices.
Responsibilities
- Strengthen and expand our analytics data warehouse infrastructure
- Lead AI-augmented engineering adoption: codify patterns for LLM coding assistants (e.g., Claude Code under BAA), agentic QA, autonomous data-quality monitoring agents, and conversational query layers
- Own data accuracy and reconciliation — build validation, monitoring, and audit infrastructure that catches issues before they reach reporting or CMS submissions — extending our ~158-object audit and observability framework (ADF run logging, MBI crosswalk QA, DPC parity harness, transactional refresh with auto-rollback)
- Partner with analytics leads (MSSP, ACO REACH/LEAD, GUIDE, Quality, Dashboards) to ensure infrastructure meets internal and external reporting requirements and advanced downstream modeling needs
- Lead large-scale analytics platform and web app implementation, integration, and maintenance
- Collaborate closely with IT and Engineering on tooling standards, organizational approvals, and security requirements (BAA scope, Microsoft Entra identity scoping, PHI/PII suppression, Azure SQL firewall)
Skills
- Strong hands-on experience with cloud-based analytics infrastructure and production data pipelines
- Platform: Microsoft Azure — incl. Azure SQL, Azure Data Factory, Azure DevOps, GitHub, Azure Blob Storage
- Expert T-SQL; Python proficient for ingestion utilities, internal web apps, and AI-agent tooling
- Experience designing unified/canonical models across heterogeneous source systems
- Demonstrated validation, reconciliation, and audit framework design — especially where discrepancies have material downstream impact
- Track record using LLM-based tools (e.g., Claude Code, Copilot) to accelerate data engineering; comfortable as a visible thought-leader on AI practices for a small team
- Experience integrating pipelines with CI/CD, version control, branching strategies (dev → test → prod), DACPAC or equivalent schema-migration tooling, and managed-identity-based deployment
- Able to translate infrastructure decisions and engineering workflows into business impact for non-technical stakeholders
- Familiarity with Medicare claims (CCLF, DPC, BCDA or similar) and/or risk-based contracting strongly preferred
- Azure Databricks experience a strong plus
Benefits
- Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity.
- Paid Time Off
- Paid Office Holidays
- Paid Sick Time
- 401(k) with up to 3% company match
- Referral Program
- Payactiv: pay-on-demand. Cash out earned money when and where you need it!
Company Overview