• Sr. Databricks Engineer

    Insight Global (Dallas, TX)


    Job Description

    We’re looking for a seasoned Senior Data Engineer with hands-on expertise in Databricks to help architect, build, and refine data pipelines and analytics solutions. This role requires a strong background in data engineering, ETL development, and production support, with a focus on delivering scalable, high-performance data systems within an Azure cloud environment.

    Key Responsibilities:

    Design and maintain scalable data pipelines using Databricks, Spark, and PySpark.

     

    Optimize SQL queries and ETL workflows for performance and reliability.

     

    Collaborate with cross-functional teams to build data models and deliver insights.

     

    Ensure data quality and system reliability across Azure-based environments.

     

    Provide production support, troubleshoot Spark jobs, and resolve performance issues.

     

    Maintain CI/CD pipelines and documentation for data workflows.

     

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

     

    Skills and Requirements

     

    10+ years overall experience in data engineering or related fields.

     

    3–5 years hands-on experience with Databricks and Spark.

     

    Strong proficiency in SQL and data analysis techniques.

     

    Experience with ETL processes, data modeling, and performance tuning.

     

    Familiarity with Python or Scala for data engineering tasks.

     

    Excellent problem-solving and communication skills. Knowledge of insurance industry data.

     

    Experience with Power BI or other BI tools.