Remote Data Quality Engineer (Databricks & dbt)

Cognizant; Augusta (ME); Remote; USD 70,000 - 117,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays plus Paid Time Off

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant Technology Solutions Corporation is seeking a Data Quality Engineer to design and automate data quality testing frameworks using dbt, Python, and Databricks. You will validate pipelines, implement quality gates, and collaborate with data engineers and analysts to improve data accuracy and reliability.

This remote US role emphasizes CI/CD integration via Azure DevOps, monitoring quality metrics, and governance practices.

Qualifications

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

Responsibilities

• esign, build, and maintain automated data quality tests in dbt (schema tests, custom generic tests, singular tests, source freshness checks).
• Develop Python-based validation frameworks and scripts for data reconciliation, schema drift detection, and regression testing.
• Validate data pipelines and transformations in Databricks (PySpark/SQL, Delta Lake), covering source-to-target mapping, row counts, aggregations, and business rules.
• Integrate data quality gates into Azure Pipelines, so builds and releases are blocked when tests fail.
• Define, monitor, and report on data quality metrics (completeness, accuracy, consistency, timeliness, uniqueness), and set up alerting for anomalies.
• Triage and root-cause data defects with data engineers, analysts, and product owners, and track them through to resolution.
• Write and maintain test plans, test cases, and data quality documentation.
• Contribute to data governance and quality standards, including data contracts and lineage awareness.

Skills

QA & data testing

dbt

Python

PySpark

Databricks

Azure DevOps

Git

GitHub Copilot

Tools

Azure DevOps

Delta Lake

Job description

Cognizant Technology Solutions Corporation is seeking a Data Quality Engineer to design and automate data quality testing frameworks using dbt, Python, and Databricks. You will validate pipelines, implement quality gates, and collaborate with data engineers and analysts to improve data accuracy and reliability.

This remote US role emphasizes CI/CD integration via Azure DevOps, monitoring quality metrics, and governance practices.