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Insight Global

Data Engineer

Insight Global, West Chester, Pennsylvania, United States, 19388

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We are launching a 34-month sprint to design and implement our data strategy, enabling advanced analytics and digital reporting for supply chain planning. This role will focus on building the data foundation using Databricks, transforming raw ERP and planning data into curated, accessible tables that power predictive models and dashboards. You will collaborate with planning and analytics teams to create a scalable data architecture, ensuring data is structured, governed, and ready for our upcoming Digital Analytics Reporting Sprint.

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 HR@insightglobal. com. To 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/. Databricks: Hands-on experience building and managing data pipelines and tables. Data Engineering: Strong background in designing scalable data architectures. Programming: Proficiency in Python and SQL for ETL and data transformation. Experience with cloud-based data platforms (Azure preferred). Familiarity with data modeling and performance optimization techniques. Experience with Tableau or similar BI tools for dashboard development. Knowledge of supply chain planning data structures (MPS, PSI, inventory, forecast accuracy).