> Markdown version of [/jobs/ext/3552003-data-engineer-data-quality-and-data-governance](https://www.wearedevelopers.com/jobs/ext/3552003-data-engineer-data-quality-and-data-governance). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer (Data Quality and Data Governance) - **Company:** Drevol LLC - **Location:** Malvern, PA, United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Airflow, Amazon Web Services, Amazon S3, Cloud Computing, Continuous Integration, Information Engineering, Data Governance, Data Warehousing, Python (Programming Language), Operational Databases, Software Construction, SQL Databases, Workflow Management Systems, Great Expectations (Foster Youth College-readiness and Support Program), Git, Containerization, Pyspark, Data Pipelines, Docker - **Published:** October 2, 2026 - **Apply:** https://www.dice.com/job-detail/c6b84cf0-3ecc-4166-aa25-be1af4eae6c2 ## About the Role Experience: 7+ years of hands-on data engineering experience, with a strong focus on data quality, data governance, and data pipeline reliability. Core Tech Stack: Expert-level proficiency in Python, SQL, and PySpark. Cloud Infrastructure: Extensive hands-on experience building production data architectures on AWS (e.g., S3, Glue, EMR, Redshift, Athena, Lambda). Data Quality Frameworks: Direct experience developing data checks and using data quality/contract tools like Soda, Gable, Great Expectations, or custom automated frameworks. Data Modeling & Architecture: Strong knowledge of data warehousing, lakehouse architectures, schema evolution, and data contract implementations. Engineering Standards: Experience with software engineering best practices, including Git, CI/CD pipelines, containerization (Docker), and orchestration tools (e.g., Apache Airflow, Prefect, or Dagster).