Senior Data Scientist-Lead Data Engineer (N373)
Senior Data Scientist-Lead Data Engineer (N373)
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$ 9333 - 12576
1 Vacancy
Job Description
Salary Range: $9333.00 -$12576.46 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 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 Countys effort to respond to the homeless 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 Countys 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 data using statistical programmatic and engineering techniques to support data-driven decision-making at a level equivalent to the Los Angeles County class of Data Scientist.
Option II: A Bachelors degree from an accredited college or university in a field such as Data Science Data Engineering Computer Science Statistics Mathematics Machine Learning Business Analytics Psychology or Public Health with at least 12 semester or 18 quarter units in data science quantitative research methods programming or statistical analysis AND six (6) years of experience in data engineering including two (2) years in a lead or supervisory capacity. A Masters or Doctoral degree from an accredited college or university in a field of applied research such Data Science Machine Learning Mathematics Statistics Business Analytics Psychology or Public Health may substitute for up to two (2) years of experience.
Certificates/Licenses/Clearances
- A valid California Class C Driver License or the ability to utilize an alternative method of transportation when needed to carry out job-related essential functions.
- Successful clearing through the Live Scan and the Health Clearance process with the County of Los Angeles.
Other Skills Knowledge and Abilities
- 7 years building scalable data pipelines in cloud environments.
- Advanced proficiency in Databricks (Delta Live Tables Unity Catalog) Spark SQL and Python.
- Experienced with CI/CD (GitHub Azure DevOps) infrastructure-as-code (Terraform) and Azure tools (Data Factory Synapse).
- Skilled in MDM integration and entity resolution.
- Familiar with MLflow experience embedding data expectations within ETL/ELT pipelines and data observability practices.
- Strong grasp of Medallion Architecture performance optimization and ETL/ELT design.
- Working knowledge of HIPAA 42 CFR Part 2 and public-sector data governance.
- Experience mentoring teams and leading technical standards.
PHYSICAL DEMANDS
Stand: Frequently
Walk: Frequently
Sit: Frequently
Reach Outward: Occasionally
Reach Above Shoulder: Occasionally
Climb Crawl Kneel Bend: Occasionally
Lift / Carry: Occasionally - Up to 15 lbs.
Push/Pull: Occasionally - Up to 15 lbs.
See: Constantly
Taste/ Smell: Not Applicable
Not Applicable Not required for essential functions
Occasionally (0 - 2 hrs./day)
Frequently (2 - 5 hrs./day)
Constantly (5 hrs./day)
WORK ENVIRONMENT
General Office Setting Indoors Temperature Controlled
EEOC STATEMENT
It is the policy of Heluna Health to provide equal employment opportunities to all employees and applicants without regard to age (40 and over) national origin or ancestry race color religion sex gender sexual orientation pregnancy or perceived pregnancy reproductive health decision making physical or mental disability medical condition (including cancer or a record or history of cancer) AIDS or HIV genetic information or characteristics veteran status or military service.
Required Experience:
Senior IC
Employment Type
Full-Time
