Data Engineer at Ingevity in North Charleston, SC. Expand enterprise data platform to support advanced analytics, AI-enabled workflows, and intelligent business applications.
Requirements
- 5+ years of experience in data engineering, analytics engineering, or enterprise data platform development
- Completely fluent in SQL including at least one of T-SQL, Spark SQL
- Strong experience building and maintaining data pipelines and transformation workflows in modern cloud data environments
- Experience working with Microsoft Fabric, Databricks, Azure data services, or similar modern data platforms
- Experience with dbt (dbt Cloud preferred) for transformation, modeling, and analytics engineering workflows
- Experience supporting analytics platforms such as Power BI, including working with curated datasets and semantic models
- Experience integrating enterprise systems such as SAP ERP into analytics or data platform environments
- Experience supporting data governance practices, including access control, lineage, and auditability
- Familiarity with data ingestion frameworks or managed connectors used to integrate operational systems into data platforms
- Scripting or programming experience (e.g., Python) used to support automation, data pipeline notebooks, ingestion of data and automation of tasks using REST APIs, and Data Engineering libraries such as PySpark and Pandas
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Relocation Assistance
- Generous Parental Leave
- Tuition Reimbursement
