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Senior QA Data Engineer

Data Engineer Full-time Permanent Remote

Job details

$130,000-150,000 Salary
Remote Eligibility
Senior Experience
Full-time Employment

About this role

Role overview Build and operate automated quality controls for customer data flowing through product pipelines. The role focuses on making data validation repeatable, catching problems before they reach production, and giving engineering and customer-facing teams clear evidence about data quality and risk.

Responsibilities - Create and maintain automated checks that run on data refreshes, reducing reliance on manual, customer-by-customer validation. - Define tests as code using tools such as dbt, Soda, or custom SQL, and manage them through version control and CI. - Check incoming data for completeness, sequencing, and schema issues; stop or quarantine failed loads. - Reconcile data across lakehouse layers and downstream outputs at portfolio, group, member, and claim levels, applying appropriate tolerance thresholds. - Detect anomalies and unexpected historical changes, set severity levels and customer-specific overrides, and produce quality reports that govern downstream promotion. - Track quality measures over time and work with engineers to build coverage into new pipelines; communicate defects and risks clearly.

Requirements - At least five years of professional QA experience, with a strong focus on backend automated testing. - Practical experience building automated data tests with Soda, dbt, or similar frameworks. - Strong SQL skills; familiarity with Python, with Spark SQL a plus. - Experience with Airflow or a comparable orchestrator, and Databricks or a similar lakehouse environment such as Delta Lake. - Familiarity with version control, CI/CD, and functional, integration, and regression testing for data pipelines. - Strong analytical, debugging, and root-cause skills, with clear written and verbal communication and the ability to work independently and coach others.

Nice to have - Experience with health insurance or healthcare data, anomaly detection or data observability, or browser test automation tools such as Cypress or Playwright.

Benefits and work setup - Fully remote, with a flexible schedule and support for working from home. - Base salary range of $130,000–$150,000 annually, plus an annual performance bonus and equity grant. - Benefits include medical, dental, vision, and 401(k); the role also offers unlimited vacation and opportunities to learn and take on new responsibilities.

Skills detected in the listing

PythonSQLdbtApache AirflowData EngineeringStakeholder Management
Detected Oct 20, 2026
Last verified Nov 12, 2026

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