Design, build, and maintain scalable data pipelines (ETL/ELT) and data models
Extract, transform, and load data from ERP, CRM, field service systems, and blob or database storage
Provide clean, well-structured, and documented datasets, including analytics-ready dbt models
Partner with analytics and business teams to ensure data is accessible, understandable, and fit for reporting and analysis
Assist with data integration for acquisitions
Support the data foundation required to track value creation initiatives and operational improvements
Implement data quality rules and operate within data governed environments.

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
3 to 7+ years of experience in data engineering, analytics engineering, or a similar technical role
Strong SQL skills and experience building and maintaining relational data models, including dbt-based transformations
Experience working with cloud blob or object storage such as Azure Blob Storage, Amazon S3, or Google Cloud Storage
Experience designing and maintaining data pipelines across multiple source systems
Experience implementing and maintaining enterprise metadata and data catalogs
Familiarity with BI tools such as Power BI or Tableau from a backend or data modeling perspective
Experience validating, monitoring, and troubleshooting data quality issues
Strong problem-solving skills and attention to detail
Comfort working in a fast-moving, results-oriented environment.

Data Engineer

Key skills