Remote Data Quality Engineer — Databricks, dbt & CI/CD

Cognizant Technology Solutions Corporation; Princeton (NJ); Remote; USD 70,000 - 117,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k) plan

Paid holidays

Paid Time Off

Disability Insurance

Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant Technology Solutions Corporation is seeking a Data Quality Engineer to design, implement, and automate data quality tests across Databricks and dbt environments. You will integrate quality checks into CI/CD pipelines via Azure DevOps and collaborate with data engineers, analysts, and product owners to ensure data accuracy and governance.

Responsibilities include validating pipelines, defining quality metrics, and maintaining test documentation, with a focus on source-to-target

Qualifications

• 5+ years in QA, data testing, or data engineering roles with a focus on 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.
• 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).
• Develop Python-based validation frameworks and scripts for data reconciliation and tests.
• Validate data pipelines and transformations in Databricks (PySpark/SQL, Delta Lake).
• Integrate data quality gates into Azure Pipelines for CI/CD.
• Define, monitor, and report on data quality metrics and set up anomaly alerts.
• Triage and root-cause data defects with engineers and analysts, tracking 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.

Skills

QA experience

dbt tests

Python

Databricks

Azure DevOps

Data quality concepts

Git

GitHub Copilot

Tools

dbt Core/Cloud

Azure Pipelines

Databricks

PySpark

Delta Lake

Unity Catalog

Job description

Cognizant Technology Solutions Corporation is seeking a Data Quality Engineer to design, implement, and automate data quality tests across Databricks and dbt environments. You will integrate quality checks into CI/CD pipelines via Azure DevOps and collaborate with data engineers, analysts, and product owners to ensure data accuracy and governance.

Responsibilities include validating pipelines, defining quality metrics, and maintaining test documentation, with a focus on source-to-target