Systems Analyst 3 / Databricks Engineer

NexivaAustin, TX
$65Hybrid

About The Position

Texas Health and Human Services Commission (HHSC) is seeking an experienced Systems Analyst 3 / Databricks Engineer to design, develop, and optimize scalable enterprise data solutions using the Databricks platform. The ideal candidate will have extensive experience building high-performance ETL/ELT pipelines, implementing Lakehouse architectures, and delivering analytical solutions for business stakeholders.

Requirements

  • 8+ years of IT experience supporting enterprise technology solutions.
  • 8+ years of hands-on Databricks experience.
  • Strong expertise with Apache Spark (PySpark or Scala).
  • Extensive SQL and Python programming experience.
  • Experience with ETL/ELT pipeline development.
  • Strong knowledge of data warehousing and dimensional modeling (Star/Snowflake).
  • Experience with Delta Lake and Lakehouse architecture.
  • Experience developing Databricks SQL Dashboards and Databricks Apps.
  • Experience implementing data governance, security, and quality frameworks.
  • Experience with Lakeflow Declarative Pipelines (DLT).
  • Experience scheduling and orchestrating workloads using Lakeflow Jobs or Airflow.
  • Excellent verbal and written communication skills.

Nice To Haves

  • Public Sector or State Government experience.
  • Databricks Certified Data Engineer (Associate or Professional).
  • CI/CD experience using Git-based workflows and DevOps practices.

Responsibilities

  • Design, develop, and optimize scalable data solutions using Databricks.
  • Build and maintain ETL/ELT pipelines using Apache Spark (PySpark or Scala).
  • Develop and manage Lakeflow Declarative Pipelines (DLT) and Lakeflow Jobs.
  • Implement Delta Lake and Medallion Architecture (Bronze, Silver, Gold).
  • Design dimensional data models and enterprise data warehouses.
  • Develop Databricks SQL dashboards, applications, and reporting solutions.
  • Implement data governance, data quality, validation, and security best practices.
  • Optimize workload performance, scalability, monitoring, and cost efficiency.
  • Collaborate with business and technical teams to deliver enterprise data solutions.
  • Communicate technical concepts and business insights effectively.
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