Data Engineer, Data Quality & Automation

Job Description:

• Design, develop, and maintain ETL/ELT data pipelines supporting enterprise data platforms.
• Implement and enhance data ingestion, transformation, and integration processes using SQL and modern programming languages.
• Design and implement automated data quality and validation checks (e.g., schema integrity, completeness, freshness, volume).
• Embed data validation and testing logic directly into data pipelines and CI/CD workflows.
• Refactor and modernize existing data pipelines to improve reliability, performance, and maintainability.
• Collaborate with technical leads, architects, and engineering teams to define and promote standard data engineering and quality practices.
• Support deployment, monitoring, and troubleshooting of data pipelines across development, test, and production environments.
• Contribute to technical documentation, runbooks, and reusable components to improve team efficiency and consistency.
• Participate in design and code reviews with a focus on sustainability, automation, and operational excellence.

Requirements:

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent experience.
• 5+ years of experience in data engineering, ETL development, or related roles.
• Strong experience with Microsoft SQL Server and enterprise data warehouse or data lake platforms.
• Proficiency in Python or similar scripting languages for automation.
• Hands-on experience building and supporting ETL/ELT pipelines.
• Experience implementing automated data validation or data quality checks within data pipelines.
• Familiarity with CI/CD concepts and tools as applied to data engineering workflows.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Must be a U.S. Citizen with the ability to obtain a secret clearance.

Benefits:

• bonuses
• employer-paid health care
• training and development funds
• 401(k) match