• Data Engineer

    Insight Global (Charlottesville, VA)


    Job Description

    Insight Global seeks a highly skilled and motivated Data Engineer to join our customer. As a Data

    Engineer, the role will play a crucial role in building and maintaining our data infrastructure, ensuring

    the efficient extraction, loading and transformation (ELT) of data from various sources into our cloud data environments. The ideal candidate should have hands-on experience with ELT processes in Databricks. Salary ranging from $40-50 per hour.

     

    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

    Bachelor's Degree in Computer Science, MIS, Computer Engineering, Business Administration or

    related discipline needed with at least five years of professional work experience. Relevant

     

    experience may be considered in lieu of a degree

     

    Certification as Databricks Data Engineer Associate or Professional.

     

    Proven work experience as a Data Engineer or in a similar role, with a focus on developing and

     

    implementing data pipelines and ETL/ELT processes.

     

    Strong proficiency in working with Databricks and Unity Catalog, as well as experience with

     

    metadata-driven ELT processes and data lakehouse architecture.

     

    Demonstrated experience with programming languages to include SparkSQL and PySpark for

     

    data ingestion, transformation, wrangling, modeling and automation.