Data Quality Engineer (Databricks & dbt)
About the role
We are seeking a Data Quality Engineer to ensure the accuracy, consistency, and reliability of enterprise data platforms. The ideal candidate will design and automate data quality testing frameworks using dbt, Python, and Databricks while integrating quality controls into CI/CD pipelines through Azure DevOps. This role will partner closely with data engineers, analysts, and business stakeholders to identify and resolve data issues, monitor key quality metrics, and drive continuous improvements across the data ecosystem. Strong experience in data validation, test automation, and modern cloud-based data platforms is essential.
In this role, you will:
- 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.
We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in the USA. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
- 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
Salary and Other Compensation
Applications will be accepted until December 3, 2026.
The annual salary for this position is between $70,000 - $117,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- 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
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Acerca de Cognizant
Cognizant (Nasdaq: CTSH) es un creador de soluciones de IA y proveedor de servicios tecnológicos que conecta la inversión en IA con el valor empresarial mediante el desarrollo de soluciones de IA full‑stack para sus clientes. Su profundo conocimiento de la industria, junto con su experiencia en procesos e ingeniería, permite incorporar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan resultados tangibles y mantienen a las empresas a la vanguardia en un entorno en constante cambio. Más información en cognizant.ai o @cognizant.
Información adicional sobre el empleo
La información sobre la compensación es exacta en la fecha de publicación de este anuncio. Cognizant se reserva el derecho de modificar esta información en cualquier momento, de conformidad con la legislación aplicable.
Es posible que se solicite a los solicitantes que asistan a entrevistas de forma presencial o mediante videoconferencia. Asimismo, durante cada entrevista, los candidatos podrán estar obligados a presentar un documento de identidad válido emitido por el estado o por el gobierno.
Cognizant es un empleador que ofrece igualdad de oportunidades. Su solicitud y candidatura no se evaluarán en función de la raza, el color, el sexo, la religión, el credo, la orientación sexual, la identidad de género, el origen nacional, la discapacidad, la información genética, el embarazo, la condición de veterano ni cualquier otra característica protegida por las leyes federales, estatales o locales.
