Data Engineer

Insight Global is looking for a mid-level Data Engineer to support a Chemical Manufacturing customer of ours. This position will be a 6-month contract-to-potential-hire and will require hybrid onsite 3x/week (4x/week during onboarding) at their Sharonville, Ohio office location.

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

3-5+ years of experience within data engineering

Microsoft Fabric Stack (OneLake, Data Factory, Synapse, PowerBi, etc.)

Python

SQL

Snowflake - Databricks

• Dynamics 365

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