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

Cognizant; Juneau (AK); Remote; USD 70,000 - 117,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays + PTO

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 implement automated data quality tests for enterprise data platforms using dbt, Python, and Databricks. This role integrates quality controls into CI/CD pipelines via Azure DevOps and collaborates with data engineers, analysts, and stakeholders to resolve data issues and monitor quality metrics.

The ideal candidate has 5+ years in QA or data testing, hands-on dbt and Databricks experience, and strong

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 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

Data quality testing

QA & data validation

dbt

Databricks

Python (pandas, PySpark, pytest)

Azure DevOps

Git/GitHub

SQL

CI/CD

Tools

dbt

Databricks

Azure DevOps

Delta Lake

Unity Catalog

PySpark

Job description

Cognizant Technology Solutions Corporation is seeking a Data Quality Engineer to design and implement automated data quality tests for enterprise data platforms using dbt, Python, and Databricks. This role integrates quality controls into CI/CD pipelines via Azure DevOps and collaborates with data engineers, analysts, and stakeholders to resolve data issues and monitor quality metrics.

The ideal candidate has 5+ years in QA or data testing, hands-on dbt and Databricks experience, and strong