Senior QA Data Engineer

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $130k - $150k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

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Gradient AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🛡️ Insurance

☁️ SaaS

💰 $20M Series B on 2021-04

Artificial Intelligence • Insurance • SaaS

Gradient AI is a leading provider of artificial intelligence solutions tailored for the insurance industry. Specializing in underwriting and claims management, the company enhances the precision of risk assessment, expedites quote turnaround times, and reduces claim expenses through intelligent automation. Gradient AI serves various sectors within insurance, including group health, property and casualty (P&C), and workers' compensation. Its solutions leverage extensive datasets and AI technology to provide insurers with deeper insights, facilitating more informed decision-making and increasing profitability. The company's innovative approach is aimed at driving efficiency and cost savings across underwriting and claims processes.

📋 Description

• Establish the next generation of data quality and testing at Gradient AI • Ensure the quality and trustworthiness of customer data powering Gradient AI products • Build and maintain an automated data quality suite running on Airflow data refreshes • Define checks as code using dbt tests, Soda, and custom SQL through version control and CI • Validate data loads for completeness, sequencing, and schema before processing • Halt or quarantine failed data loads • Reconcile data across Databricks layers and downstream outputs using tolerance thresholds • Detect anomalies, edge cases, and unexpected historical-data changes between loads • Define severity levels and per-customer overrides • Produce customer-specific data quality reports that gate downstream promotion • Track quality metrics, retire flaky checks, and close coverage gaps • Partner with engineers to embed checks in new pipelines • Provide engineers, stakeholders, and project managers timely feedback on quality issues and risk

🎯 Requirements

• 5+ years of professional experience in quality assurance 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 • Experience with Databricks or a similar lakehouse environment, including Delta Lake • Familiarity with version control and CI/CD • Solid understanding of functional, integration, and regression testing applied to data pipelines • Excellent analytical, debugging, and root-cause skills • Strong verbal 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 • Bonus: experience with health insurance or healthcare data, anomaly detection or data observability tools, or front-end test automation tools such as Cypress or Playwright

🏖️ Benefits

• Generous stock options • Unlimited vacation days • Flexible schedule that supports working from home • Full benefits package including medical, dental, vision, 401k, and more • Ample opportunities to learn and take on new responsibilities • Annual performance bonus • Equity grant • Merit-based increases, promotions, and company-wide compensation adjustments • Fun, team-oriented startup culture