Senior Data Quality Engineer - Databricks & dbt (Remote)

Cognizant; Nashville (TN); Remote; USD 70,000 - 117,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays & PTO

401(k) plan

Disability insurance

Parental leave

Employee Stock Purchase Plan

Job summary

Cognizant Technology Solutions Corporation is seeking a Data Quality Engineer to design and maintain automated data quality tests using dbt, Python, and Databricks. The role focuses on validating data pipelines, ensuring accuracy, consistency, and timeliness across enterprise data platforms.

You will integrate tests into Azure DevOps pipelines, collaborate with data engineers and analysts, and monitor quality metrics. This remote US role offers a flexible work arrangement and benefits.

Qualifications

• 5+ years in QA, data testing, or data engineering roles focused 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 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

dbt testing

Python

PySpark

Azure DevOps

Databricks

Data quality

Git

GitHub Copilot

Tools

Azure Pipelines

Delta Lake

Job description

Cognizant Technology Solutions Corporation is seeking a Data Quality Engineer to design and maintain automated data quality tests using dbt, Python, and Databricks. The role focuses on validating data pipelines, ensuring accuracy, consistency, and timeliness across enterprise data platforms.

You will integrate tests into Azure DevOps pipelines, collaborate with data engineers and analysts, and monitor quality metrics. This remote US role offers a flexible work arrangement and benefits.