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DATABRICKS ENGINEER , AUSTIN, TX (HYBRID)

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Contract: 12 Months(3 Yrs Ext)

Deadline: 7/31/26

Job Description:

The Databricks Engineer should design, develop, and optimize scalable data solutions on Databricks, leveraging PySpark or Scala for large-scale data processing. Build and maintain ingestion pipelines, Declarative Pipelines (DLT), and Medallion Architecture (Bronze, Silver, Gold) to support enterprise analytics and reporting. Develop robust data models and implement data quality, validation, and governance frameworks. Create dynamic dashboards, Databricks Apps, and analytical solutions to deliver actionable business insights. Optimize workloads, monitoring, and operational processes to ensure scalability, security, and cost efficiency.

Required Skills:

  • 8 Yrs of Experience in IT, supporting the design, development, deployment, or delivery of technology solutions.

  • 8 Yrs of Experience with Databricks, including building and optimizing ETL/ELT data pipelines using Apache Spark.

  • 8 Yrs of Experience in data warehousing and dimensional data modeling (star/snowflake schemas).

  • 8 Yrs of Proficiency in SQL and Python (or Scala) for large-scale data processing.

  • 8 Yrs of Experience designing and developing dashboards and applications natively within Databricks (e.g., Databricks SQL dashboards, Databricks Apps).

  • 8 Yrs of Experience implementing data governance, data quality, and data security practices.

  • 8 Yrs of Experience implementing Lakeflow Declarative Pipelines (formerly Delta Live Tables/DLT) for building and managing production data pipelines.

  • 8 Yrs of Experience with Delta Lake, medallion architecture (bronze/silver/gold layers), data lakehouse design, and creating and scheduling offline jobs using Lakeflow Jobs (formerly Databricks Workflows) or similar orchestration tools (e.g., Airflow).

  • 8 Yrs of Excellent communication skills, both verbal and written, including presenting insights to technical and business stakeholders.

Preferred Skills:

  • 1 Yr of Experience working in public sector or state government environments.

  • 1 Yr of Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional).

  • 1 Yr of Experience with CI/CD practices for data pipelines (DevOps, Git-based workflows).

Kavitha K