Data/Analytics Engineer

Heluna HealthLos Angeles, CA
Onsite

About The Position

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.

Requirements

  • Substantial experience in Enterprise Data Architecture, Cloud Infrastructure, and Analytics Engineering.
  • Proven track record of managing complex data lifecycles within large-scale Databricks environments.
  • Substantial experience in Cloud Data Engineering and Infrastructure Automation.
  • 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.
  • 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.
  • 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.

Nice To Haves

  • 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
  • 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.

Responsibilities

  • 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.

Benefits

  • 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.
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