Remote Data QA Manager: Lead Automation & Data Quality

eNGINE; Pittsburgh (Allegheny County); Remote; USD 120,000 - 160,000; Full time

Job summary

eNGINE is seeking a hands-on Data QA Manager to lead the quality assurance strategy for enterprise data pipelines, platforms, and analytics products. This role is remote with quarterly travel to Pittsburgh and EST hours.

You will manage a four-person QA team, introduce automation with Python, PyTest, and Databricks, and partner with Data Engineering, Analytics, and Governance to raise data quality standards.

Qualifications

• 7+ years of QA/testing experience in data, pipelines, or analytics.
• Strong Data QA / Data Quality background.
• Advanced SQL skills validating complex data sets, tables, transformations, and relationships.
• Hands-on PyTest experience for automated testing.
• Experience developing automated testing for data pipelines or data products.
• Experience with data mapping, data lineage, transformation validation, and downstream data validation.
• Leadership or mentoring of QA professionals.
• Strong communication and ability to influence data quality approaches across teams.

Responsibilities

• Lead the Data QA function and establish a structured approach to test planning, execution, documentation, and regression coverage.
• Develop and evolve testing strategies for data pipelines, transformation processes, data models, and analytics outputs.
• Use advanced SQL skills to validate tables, transformations, relationships, and downstream data products.
• Build and expand automated data testing capabilities using Python and PyTest, moving beyond manual validation.
• Help evaluate and implement frameworks, tools, and standards for automated data quality testing.
• Establish validation checkpoints across the data lifecycle, from ingestion through transformation to delivery.
• Define test coverage around data completeness, accuracy, consistency, and timeliness.
• Validate data within Databricks and other modern data environments.
• Collaborate with Data Engineering to shift testing left in the development lifecycle.
• Lead defect identification, root-cause discussions, and resolution tracking for data quality issues.
• Establish metrics demonstrating testing coverage, automation progress, defects, and data quality.
• Mentor and develop QA team members while remaining hands-on with complex testing.
• Collaborate with QA leadership and engineering partners on long-term testing strategy and tech stack.

Skills

SQL

Python

PyTest

Data QA

Data Quality

Data testing

QA Leadership

Communication

Education

Bachelor's degree in CS / IS / Data Eng

Tools

Databricks

Great Expectations

dbt tests

Soda

Monte Carlo

Job description

eNGINE is seeking a hands-on Data QA Manager to lead the quality assurance strategy for enterprise data pipelines, platforms, and analytics products. This role is remote with quarterly travel to Pittsburgh and EST hours.

You will manage a four-person QA team, introduce automation with Python, PyTest, and Databricks, and partner with Data Engineering, Analytics, and Governance to raise data quality standards.