Remote Data Quality Engineer (Databricks & dbt)

Cognizant; Trenton (NJ); Remote; USD 70,000 - 117,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays + PTO

401(k) plan

Long/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant Technology Solutions Corporation is seeking a Data Quality Engineer to ensure accuracy, reliability, and trust in enterprise data platforms. You will design automated data quality tests in dbt, write Python validation scripts, and validate pipelines in Databricks to enforce business rules.

The role collaborates with data engineers and analysts, integrating quality gates into Azure DevOps pipelines and monitoring key quality metrics. Remote-friendly in the USA.

Qualifications

• 5+ years in QA, data testing, or data engineering with data validation focus.
• Hands-on with dbt (Core or Cloud): tests, macros, models, docs.
• Strong Python skills (pandas, PySpark, pytest) for test automation.
• Experience with Databricks notebooks, jobs, Delta tables, Unity Catalog.
• Experience building and maintaining Azure Pipelines for CI/CD.
• Solid understanding of data quality concepts, dimensions, and frameworks.
• Experience with Git and version-controlled development workflows.
• Experience in using GitHub Copilot.

Responsibilities

• Design, build, and maintain automated data quality tests in dbt (schema tests, custom tests, source freshness).
• Develop Python-based validation frameworks for data reconciliation and regression testing.
• Validate data pipelines in Databricks (PySpark/SQL, Delta Lake) against mappings and business rules.
• Integrate data quality gates into Azure Pipelines to block failed builds/releases.
• Define, monitor, and report data quality metrics and set up anomaly alerts.
• Triage and root-cause data defects with cross-functional teams and track to resolution.
• Write and maintain test plans, test cases, and data quality docs.
• Contribute to data governance standards, contracts, and lineage awareness.

Skills

QA/Data validation

dbt

Python

Databricks

Azure DevOps

Data governance

Git/GitHub Copilot

Tools

dbt

Databricks

Azure DevOps

Git

GitHub Copilot

Job description

Cognizant Technology Solutions Corporation is seeking a Data Quality Engineer to ensure accuracy, reliability, and trust in enterprise data platforms. You will design automated data quality tests in dbt, write Python validation scripts, and validate pipelines in Databricks to enforce business rules.

The role collaborates with data engineers and analysts, integrating quality gates into Azure DevOps pipelines and monitoring key quality metrics. Remote-friendly in the USA.