Salary Range: $10,214.43 -$13.376.56 monthly
SUMMARY
Serves as the Data & Analytics Engineer for Community Programs (CPs), acting as the Lead Data Architect for CP’s Databricks environment. This role sits at the intersection of data engineering and advanced analytics, responsible for the end-to-end design, implementation, and management of a governed Medallion Architecture (Bronze, Silver, Gold) supporting housing, justice, and clinical operations. This position replaces legacy reporting workflows with a unified, secure data platform that stitches complex, multi-sector program participation records across disparate systems into a cohesive longitudinal client model. The role bridges infrastructure and advanced analytics by building scalable data products and integrations that support program tracking, executive reporting, and predictive modeling for County and State stakeholders.
WHAT YOU WILL DO
- Build and scale a governed Databricks environment that serves as the single source of truth across housing, justice, and clinical systems
- Design and implement automated, production-grade data pipelines and CI/CD workflows using Databricks, Terraform, and GitHub
- Translate complex program logic into scalable data models and reusable data products
- Build scalable semantic models that map a single client's journey across disparate housing, justice, and clinical programs, standardizing touchpoints over time.
- Establish secure-by-design data systems handling sensitive clinical (PHI) and justice (CJI) data utilizing Unity Catalog for centralized governance, audit logging, and access control.
- Enable advanced analytics by developing curated datasets, APIs, and environments for machine learning and NLP applications
- Partner with leadership and cross-functional teams to shape how data is used to drive policy, operations, and outcomes
- Lead and mentor technical staff while setting engineering standards for long-term scalability and maintainability
- Programmatically map complex, multi-source program utilization (CHAMP, DD, HMIS) to specific funding streams for strict fiscal and grant tracking compliance.
ESSENTIAL FUNCTIONS
- Data Infrastructure & Lakehouse Architecture: Design, implement, and maintain a scalable Databricks architecture using Medallion principles. Build and optimize large-scale ETL/ELT pipelines to integrate structured and unstructured data across housing, justice, and clinical systems. Ensure interoperability with healthcare and justice standards (e.g., FHIR, HL7v2) and support a unified, governed data environment serving as the system of record for analytics.
- Infrastructure Automation & DevOps (CI/CD): Design and manage automated data lifecycles using GitHub Actions and Terraform (Infrastructure as Code). Implement software engineering practices, including version control, automated unit testing, and continuous integration to validate pipeline logic prior to production deployment.
- Data Modeling & Technical Translation: Design and maintain the Unified Data Model for Community Programs, serving as the foundation for the entire analytical schema. Lead architectural efforts to model and stitch together complex, multi-sector longitudinal client journeys across CHAMP, DD, HMIS, and various systems. Develop specialized, multi-dimensional data structures that accurately map cross-program utilization to diverse, overlapping funding streams, enabling precise fiscal, operational, and programmatic evaluation.
- Data Governance, Security & Compliance: Establish and enforce enterprise data governance frameworks, including RBAC/ABAC, data lineage, audit logging, and data loss prevention. Ensure security, compliance, and data integrity are embedded across all layers of the architecture, supporting high-trust environments handling regulated data (e.g., PHI, CJI).
- Analytics Enablement & Data Products: Develop and manage scalable data products, including curated datasets, APIs, and analytical layers that support reporting, dashboards, and advanced analytics. Optimize data access and performance using SQL and modern BI tools (e.g., Tableau, Power BI), enabling consistent, reliable insights for operational and executive decision-making.
- Technical Leadership & Delivery Oversight: Provide oversight and mentorship to data engineers, analysts, and scientists, setting engineering standards and promoting best practices in system design.
- Advanced Analytics Support & Integration: Build and maintain the technical environments required for advanced analytics. Partner with data scientists and DHS Security teams to ensure models and data products are scalable, governed, and aligned with transparency and compliance standards.
JOB QUALIFICATIONS
- Candidates must possess substantial experience in Enterprise Data Architecture, Cloud Infrastructure, and Analytics Engineering. Candidates must hold a relevant degree and demonstrate a proven track record of managing complex data lifecycles within large-scale Databricks environments.
- Substantial experience in Cloud Data Engineering and Infrastructure Automation.
- Preferred:
- Experience with public sector / healthcare / justice data is a plus
- Experience working with regulated data (HIPAA, CJIS) is a plus
- Experience in cross-agency data integration is a plus
- Education: Relevant degree from an accredited college or university.
Education/Experience
Option I: Two (2) years of experience in a lead capacity carrying out complex data infrastructure and architecture projects. This must include independently designing and implementing automated ETL/ELT pipelines, managing Lakehouse environments (Databricks), and enforcing enterprise data security (RBAC/ABAC), at a level equivalent to the Los Angeles County class of Principal Information Systems Analyst.
Option II: A Bachelor’s degree from an accredited college or university in a field of applied research such as Information Technology, Computer Science, Data Engineering, or Data Science —AND— six (6) years of experience applying and overseeing the application of data engineering, infrastructure automation (CI/CD), and enterprise data management to support operational and analytical decision making. Two (2) years of this experience must have been in a lead capacity.
For Option II only, a Master’s or Doctoral degree from an accredited college or university in a field such as Information Technology, Computer Science, Data Science, or Machine Learning may substitute for up to two (2) years of the required general experience.
- Applicants must meet the above requirement(s) at the time of filing to be appointed to fill any vacancies related to this recruitment.
- ACCREDITATION: Accredited institutions are those listed in the publications of regional, national or international accrediting agencies which are accepted by the Department of Human Resources
- Foreign degrees must be evaluated for equivalency to United States accredited institutions standards by an academic credential evaluation agency recognized by The National Association of Credential Evaluation Services (NACES) or The Association of International Credential Evaluators, Inc. (AICE)
Certificates/Licenses/Clearances
- Successfully pass DHS Live Scan
Other Skills, Knowledge, and Abilities
- Expert Proficiency in Python: Focused on data manipulation (Pandas/PySpark) and automation.
- Expert Proficiency in SQL: Deep knowledge of query optimization, CTEs, and window functions.
- Advanced Data Visualization: Proven ability to build executive-level insights in Tableau or Power BI.
- Cloud Automation: Hands-on experience with Terraform and GitHub Actions.
SELECTION PROCESS
- Live Technical Interview: Shortlisted candidates will participate in a live technical assessment. This session will evaluate proficiency in SQL/Python, architectural problem-solving within the Databricks ecosystem, and the ability to translate programmatic logic into scalable data models.
PHYSICAL DEMANDS
Stand: Occasionally
Walk: Occasionally
Sit: Frequently
Handling / Fingering: Frequently
Reach Outward: Occasionally
Reach Above Shoulder: Occasionally
Climb, Crawl, Kneel, Bend: Occasionally
Lift / Carry: Occasionally - Up to 25 lbs
Push/Pull: Occasionally - Up to 25 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.