Databricks Engineer

Key Responsibilities • Design, develop, and optimize scalable data solutions using Databricks. • Build and optimize ETL/ELT pipelines using Apache Spark, PySpark, or Scala. • Develop and maintain Lakeflow Declarative Pipelines (formerly Delta Live Tables/DLT). • Implement Medallion Architecture (Bronze, Silver, Gold) and Delta Lake solutions. • Design and maintain enterprise data models using star and snowflake schemas. • Develop Databricks SQL Dashboards, Databricks Apps, and analytics solutions. • Implement data governance, data quality, validation, and security best practices. • Optimize workloads, monitoring, scheduling, and operational processes for scalability and performance. • Collaborate with business and technical stakeholders to deliver data-driven solutions. Minimum Qualification • s8+ years of IT experience supporting the design, development, deployment, or delivery of technology solutions • .8+ years of hands-on experience with Databricks, including building and optimizing ETL/ELT pipelines using Apache Spark • .8+ years of experience in data warehousing and dimensional data modeling (Star/Snowflake schemas) • .8+ years of experience with SQL and Python (or Scala) for large-scale data processing • .8+ years designing and developing dashboards and applications within Databricks (Databricks SQL Dashboards, Databricks Apps) • .8+ years implementing data governance, data quality, and security practices • .8+ years implementing Lakeflow Declarative Pipelines (DLT) • .8+ years working with Delta Lake, Medallion Architecture, Data Lakehouse design, and workflow orchestration tools such as Lakeflow Jobs or Airflow • .Excellent verbal and written communication skills . Preferred Qualificatio • nsExperience working in Texas State Government or Public Sector environment • s.Databricks Certified Data Engineer (Associate or Professional • ).Experience with CI/CD, DevOps, and Git-based workflow s. Work Sched • uleMonday–Friday, 8:00 AM – 5:00 • PMHybrid schedule: 3 days remote, 2 days onsite (Mondays & Thursda • ys)Local candidates only (Austin, TX ar ea)