Senior QA Data Engineer

🕒 October 20

🇺🇸 United States – Remote

💵 $130k - $150k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 26 days.
• Jobs at this company usually fill in 57 days.
• Reposted once.

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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

• Build and maintain an automated data quality suite that runs on data refreshes through Airflow, replacing manual, per-customer validation. • Define checks as code using dbt tests, Soda, and custom SQL, managed through version control and CI, including baseline checks for new pipelines. • Validate loads for completeness, sequencing, and schema before processing, and halt or quarantine failures. • Reconcile data across Databricks layers and downstream outputs such as pricing tools at portfolio, group, member, and claim levels using tolerance thresholds. • Detect anomalies, edge cases, and unexpected changes in historical data between loads. • Define severity levels and per-customer overrides and produce customer data quality reports that gate promotion to downstream consumers. • Track quality metrics over time to retire flaky checks and close coverage gaps. • Partner with engineers to ship new pipelines with built-in checks and provide timely quality and risk feedback to engineers, stakeholders, and project managers.

🎯 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 a plus) and familiarity with Python. • Experience with Airflow or similar orchestration tools, and with Databricks or a similar lakehouse environment (Delta Lake). • Familiarity with version control and CI/CD. • Solid understanding of testing principles, including 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.

🏖️ Benefits

• Generous stock options - we all get to own a piece of what we're building. • 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. • Comprehensive benefits package.

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