• Data Engineer

    Insight Global (The Woodlands, TX)


    Job Description

    Insight Global is seeking a Data Engineer to support a Research & Technology organization on a multi-year initiative to modernize data management and accelerate product development. The role focuses on building a unified data platform using a Lakehouse architecture (Databricks on Azure), ensuring pipeline reliability, governance, and user enablement. He or she will need to be able to engage directly with stakeholders and translate into work product independently. This person will be compensated $90-$100/hr depending on their experience.

     

    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

    12 years of experience within the Data Management, Engineering, and/or Analysis space

     

    Extensive experience working with Azure services - i.e., Databricks, Data Factory, Purview, Synapse Analytics

     

    Understanding of Unity Catalog in relation to Azure Databricks

     

    Experience programming within Python and SQL

     

    Experience working with Terraform

     

    Customer/Client Facing Experience and Skills • Experience ingesting instrument/lab data (e.g., chromatography, rheology, pilot plant)

     

    • Metadata cataloging and data product patterns