Data Engineer

Insight Global is looking for a junior/mid-level Data Engineer to support a Chemical Manufacturing customer of ours. This position will be a 6-month contract-to-potential-hire and can sit remotely for an all-star candidate.

This individual will join the company’s Data Engineering team, a newly formed team and practice reporting directly to the Director of Data & AI. This role will play a critical part in stabilizing and enhancing an inherited data platform from current vendor while also contributing to new development as the team’s roadmap evolves., * Take ownership of an existing data engineering solution inherited from an incumbent vendor, including debugging, reverse engineering logic, and creating clear technical documentation

• Serve as a liaison between the incumbent vendor and internal enterprise stakeholders, ensuring smooth knowledge transfer and continuity

• Maintain and support existing vendor-built tools and pipelines (~50% of role)

• Design and develop new data engineering solutions and enhancements (~50% of role)

• Work extensively within the Microsoft Fabric ecosystem, including OneLake, Data Factory, Synapse, and Power BI

• Build and maintain data pipelines using Python and SQL

• Apply strong logical reasoning to troubleshoot issues, optimize workflows, and improve reliability

• Embrace an AI-driven mindset, leveraging modern tools and concepts to improve efficiency and development practices

• 2-3+ years of experience within data engineering

• Snowflake

• Azure Data Factory (ADF) OR DBT

• SQL * Python (for ETL with ADF)

• Familiarity with Microsoft Fabric Stack or specifically these MS Fabric tools: OneLake, Synapse, PowerBi, etc.

• Databricks

• Dynamics 365 - exposure to D365 CRM and ERP(F&O), setting up fabric links, etc.

• AI concepts/ fundamentals (ex: GitHub Co-Pilot)