Senior Data Scientist-Lead Data Engineer (N373)

Salary Range: $9,333.00 -$12,576.46 Monthly

SUMMARY

Housing for Health (HFH) is a program office within Community Programs, a division under the Los Angeles County Department of Health Services (DHS) for the County of Los Angeles. HFH was created to support people experiencing homelessness with complex clinical needs.

We support people in obtaining housing, improving their health and thriving in their communities.

HFH is a core component of Los Angeles County’s effort to respond to the homeless emergency. Where appropriate to the job function, a hybrid work schedule may be available, with employees working both remotely and from the office, as needed.   

This position offers a unique opportunity to shape the data infrastructure of one of the most impactful homelessness service systems in the nation.

The Lead Data Engineer will oversee the foundational architecture for Community Programs’ Databricks-based Lakehouse, supporting seamless integration, governance, and analysis of health, housing, and justice data across initiatives including Housing for Health and others.

The role reports to the Director of Data Analytics and Evaluation and will guide efforts across data ingestion, transformation, privacy, and CalAIM claims workflows.

This is a chance to architect a scalable data environment from the ground up in a mission-driven context.

The engineering team plays a central role in the County’s data strategy, with opportunities for mentorship, innovation, and cross-sector impact.

ESSENTIAL FUNCTIONS


* Lead the development of bronze, silver, and gold data layers from highly normalized data sources, translating complex table relationships into denormalized, analyst-ready structures.


* Implement GitHub-based CI/CD workflows that manage Dev and Prod separation, parameterized notebook execution, and automated testing.


* Use Azure Data Factory and related tools to ingest and orchestrate data flows from diverse internal and external sources.


* Collaborate closely with analytics and privacy engineers to ensure models align with data governance and privacy requirements.


* Support integration of MDM-linked datasets and promote entity resolution strategies across systems.


* Monitor pipeline health and lead resolution of data quality issues in coordination with analysts and external partners.


* Review and approve engineering code as part of CI/CD workflow, unblock or resolve issues holding up promotion to Prod.


* Define architecture standards and RBAC models in Unity Catalog for Departmental and Countywide access.


* Mentor engineering team members on best practices and solution design.


* Produce clear, maintainable documentation and SOPs to support onboarding, data catalog use, and model transparency.

JOB QUALIFICATIONS

Option I: Two (2) years of experience independently leading complex data engineering projects, including developing and applying methods to collect, structure, and transform d...