{"id":3723929,"url":"https://alion.io/job/cognizant-data-quality-engineer-databricks-dbt","title":"Data Quality Engineer (Databricks & dbt)","company":{"id":85,"name":"Cognizant","domain":"cognizant.com","url":"https://alion.io/company/cognizant","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Cognizant Careers","truth_index":{"grade":"A","score":87,"open_postings":188,"ghost_share":0.011,"stale_share":0.463,"repost_share":0.074,"time_to_fill_p50_days":23,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Princeton, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":70000,"max":117000,"currency":"USD","period":"year","gross":null,"usd_annual":117000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Delta Lake","optional":false},{"name":"Git","optional":false},{"name":"pySpark","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"Rest-Assured","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-03T17:47:42Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-07T20:28:32Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Data Quality Engineer (Databricks & dbt)\nAbout the role\nWe 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.\nIn this role, you will:\nesign, build, and maintain automated data quality tests in dbt (schema tests, custom generic tests, singular tests, source freshness checks).\nDevelop Python-based validation frameworks and scripts for data reconciliation, schema drift detection, and regression testing.\nValidate data pipelines and transformations in Databricks (PySpark/SQL, Delta Lake), covering source-to-target mapping, row counts, aggregations, and business rules.\nIntegrate data quality gates into Azure Pipelines, so builds and releases are blocked when tests fail.\nDefine, monitor, and report on data quality metrics (completeness, accuracy, consistency, timeliness, uniqueness), and set up alerting for anomalies.\nTriage and root-cause data defects with data engineers, analysts, and product owners, and track them through to resolution.\nWrite and maintain test plans, test cases, and data quality documentation.\nContribute to data governance and quality standards, including data contracts and lineage awareness.\nWe 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.\nThe 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.\nWhat you need to have to be considered\n5+ years in QA, data testing, or data engineering roles with a focus on data validation.\nHands-on experience with dbt (Core or Cloud): tests, macros, models, documentation.\nStrong Python skills (pandas, PySpark, pytest) for test automation.\nPractical experience with Databricks: notebooks, jobs, Delta tables, Unity Catalog.\nExperience building and maintaining Azure Pipelines (Azure DevOps) for CI/CD.\nSolid understanding of data quality concepts, dimensions, and frameworks.\nExperience with Git and version-controlled development workflows.\nExperience in using GitHub copilot\nSalary and Other Compensation\nApplications will be accepted until December 3, 2026.\nThe annual salary for this position is between $70,000 - $117,000 depending on experience and other qualifications of the successful candidate.\nThis position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.\nBenefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:\nMedical/Dental/Vision/Life Insurance\nPaid holidays plus Paid Time Off\n401(k) plan and contributions\nLong-term/Short-term Disability\nPaid Parental Leave\nEmployee Stock Purchase Plan\nDisclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. 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