Senior QA Data Engineer

Location: Fully remote; US employment context indicated by 401k benefits and Massachusetts Pay Transparency Law.

Salary: $130,000–$150,000 base salary annually, plus eligibility for an annual performance bonus, equity grant, and benefits.

Company

hirify.global provides AI-powered SaaS solutions for Group Health and P&C insurance, using large-scale policy and claims data to predict underwriting and claim risks, improve loss ratios, and automate quoting and claims processes.

What you will do

• Build and maintain automated data quality checks that run on Airflow data refreshes, replacing manual per-customer validation.
• Define version-controlled checks as code with dbt tests, Soda, custom SQL, CI, and baseline coverage for new pipelines.
• Validate data-load completeness, sequencing, and schemas before processing, and halt or quarantine failures.
• Reconcile data across Databricks layers and downstream pricing outputs at portfolio, group, member, and claim levels using tolerance thresholds.
• Detect anomalies, edge cases, and unexpected historical changes; define severity levels, customer overrides, and quality reports that gate downstream promotion.
• Partner with engineers, stakeholders, and project managers to address quality risks, track quality metrics, retire flaky checks, and close coverage gaps.

Requirements

• 5+ years of professional quality assurance experience with a strong focus on backend automated testing.
• Hands-on experience building automated data tests with Soda, dbt, or similar frameworks.
• Strong SQL skills; Spark SQL is a plus. Familiarity with Python.
• Experience with Airflow or similar orchestration tools and Databricks or a similar lakehouse environment, including Delta Lake.
• Familiarity with version control and CI/CD.
• Understanding of functional, integration, and regression testing principles applied to data pipelines.
• Strong analytical, debugging, root-cause analysis, verbal communication, and written communication skills, including clear defect reports and quality summaries for technical and non-technical audiences.
• Ability to work independently and coach others on testing best practices.

Nice to have

• Experience with health insurance or healthcare data.
• Experience with anomaly detection or data observability tools.
• Experience with front-end test automation tools such as Cypress or Playwright.

Culture & Benefits

• Team-oriented startup culture.
• Stock options and equity participation.
• Unlimited vacation days.
• Flexible schedule supporting work from home.
• Medical, dental, vision, 401k, and other benefits.
• Opportunities to learn and take on new responsibilities.