Senior Data Quality Engineer

Role: Senior Data Quality Engineer

Duration: Long term

Location: Washington, DC (Need Locals)

Note: Ex- Amtrak or Rail road experience or any transportation domain exp resources

Key Responsibilities:

• Automate Data Quality at Scale

Design and implement automated data profiling, validation, and anomaly detection pipelines using modern frameworks and toolsets ensuring data issues are caught early and resolved quickly.

• Build Reusable Quality Components

Develop scalable, reusable modules for rule enforcement, anomaly detection, and schema validation to ensure consistent, efficient quality checks across pipelines.

• Embed Governance into Engineering

Translate data governance policies such as critical field checks, certified source validation, and data ownership rules into enforceable logic and embedded controls.

• Integrate with Modern Platform

Use and extend tools like Databricks, SAP DataSphere, and Informatica Cloud to implement quality controls across the stack while remaining tool-flexible for future growth.

• Collaborate Across the Stack

Partner with data engineers, governance leads, analysts, and product owners to align on quality expectations, drive accountability, and ensure business context is reflected in technical rules.

• Measure and Communicate Data Health

Monitor, document, and report on data quality metrics, including rule compliance, anomalies, and issue resolution providing transparency to both technical and business stakeholders.

Technical Skills:

• Strong command of SQL and Python for developing rule logic and profiling scripts
• Experience with quality frameworks like Great Expectations, Deequ, or custom solutions
• Familiarity with platforms like Databricks, Informatica, SAP DataSphere, and cloud data services (AWS, Azure, or Google Cloud Platform)
• Working knowledge of data governance, including certified datasets, critical data elements, ownership, and data policy enforcement