• Data Engineer

    Insight Global (Schaumburg, IL)


    Job Description

    A client is seeking a Data Engineer to support their data pipeline with the below responsibilities:

    • Design and develop scalable data pipelines to collect, process, and store large volumes of data.

    • Collaborate with data scientists and analysts to drive scope & requirements as well as deliver strong technical design of data analytics solutions.

    • Ensure data quality and integrity through cleansing processes, validation, and automated testing.

     

    $130,000 to $140,000 - Exact compensation may vary based on several factors, including skills, experience, and education.

     

    Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

     

    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 or related field

    • 5 years’ experience in data engineering, usinmg Python and Spark, and OO programming

    • 3 years’ experience building and supporting data lakehouse architectures using delta lake and change data feeds.

    • 3 years’ experience designing data warehouse table architecture (Ex: star schema or Kimball method)

    • Experience creating CI/CD pipelines

     

    - MS Fabric