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  • Data Engineer

    Insight Global (Neenah, WI)



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    Job Description

    Day to Day

    • Own data pipeline development on GCP using BigQuery, Dataform, Dataflow, and Cloud Composer; design and implement performant, cost aware patterns for batch and near real time workloads.

    • Orchestrate source to warehouse ingestion (e.g., Fivetran) and transformations in dbt to move data “from point A to point B” with robust testing, documentation, and version control.

    • Model warehouse tables (staging, marts, dimensional models) that support analytics and manufacturing operations, drive standards for naming, partitioning, clustering, and data quality.

    • Partner cross functionally with application teams, manufacturing operations, and business stakeholders to understand requirements and translate them into scalable data solutions.

    • Contribute to platform governance: CI/CD for data assets, secrets management, cost monitoring, access controls, and compliance aligned with enterprise standards.

     

    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

    • 7+ years of professional Data Engineering experience (Senior/Staff level).

    • Proven delivery on GCP: BigQuery, Dataform, Dataflow, Cloud Composer (or equivalent orchestration like Airflow).

    • Hands on with dbt (testing, documentation, packages) and experience operationalizing connector based ingestion (e.g., Fivetran).

    • Strong SQL engineering and performance tuning in columnar warehouses; familiarity with query cost optimization.

    • Experience migrating from on prem systems to cloud data warehouses, including schema rationalization and data quality strategies.

    • Solid software engineering foundations: version control (git), code review, CI/CD for data, Infrastructure as Code (Terraform or similar preferred).

    • Excellent communication skills for stakeholder alignment and knowledge sharing.

     


    Apply Now



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