Remote Data Quality Engineer - Databricks & dbt

Cognizant Technology Solutions Corporation; Atlanta (GA); 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 tests using dbt, Python, and Databricks. You will integrate quality controls into CI/CD pipelines with Azure DevOps and partner with data engineers, analysts, and stakeholders to improve data reliability.

You will validate pipelines, monitor quality metrics, and contribute to data governance standards while supporting flexible remote work from the USA.

Qualifications

• 5+ years in QA, data testing, or data engineering with data validation.
• Hands-on experience 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 and maintaining Azure Pipelines (Azure DevOps) for CI/CD.

Responsibilities

• Design, 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

Python

Databricks

Azure DevOps

CI/CD

Git / version control

GitHub Copilot

Tools

dbt

Pandas

PySpark

pytest

Delta Lake

Unity Catalog

Azure Pipelines

Git

GitHub Copilot

Job description

Cognizant Technology Solutions Corporation is seeking a Data Quality Engineer to design and automate data quality tests using dbt, Python, and Databricks. You will integrate quality controls into CI/CD pipelines with Azure DevOps and partner with data engineers, analysts, and stakeholders to improve data reliability.

You will validate pipelines, monitor quality metrics, and contribute to data governance standards while supporting flexible remote work from the USA.