Staff Software Development Engineer – Test
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Job Description
Staff SDET leading AI-augmented test automation for Databricks data platforms. Improving quality and compliance for a clinically driven pharmacy benefits management company.
Responsibilities:
- Provide technical leadership and mentorship for Quality Engineering and Test Automation within the Data Engineering space
- Define and implement test strategies, frameworks, and best practices for large-scale Databricks data processing systems
- Design and execute automated tests for ETL/ELT pipelines, APIs, and batch processes
- Validate data quality, transformations, and business rules across claims, eligibility, and accumulations workflows
- Develop scalable test automation solutions for Databricks-based and cloud data environments
- Partner with Data Engineers, Product Owners, Business Analysts, and SMEs to align testing with business and regulatory requirements
- Integrate automated data quality checks into CI/CD pipelines with DevOps teams
- Support root cause analysis for test defects, performance bottlenecks, and production incidents
- Ensure adherence to HIPAA, PHI, PII, and security standards across testing practices
- Drive adoption of modern test automation, monitoring, reporting, AI Coding Assistant, and agentic testing tools
- Continuously improve testing processes to enhance reliability, scalability, and delivery velocity
- Apply PBM/healthcare expertise, including Medicare Part D, CMS compliance testing, and NCPDP SCRIPT claims adjudication
Requirements:
- Bachelor’s degree in computer engineering, Computer Science, Information Systems, Industrial Engineering, or a related field; in lieu of a bachelor’s degree, 10+ years of related work experience is needed
- 8+ years of experience in Quality Engineering and Test Automation, including at least 5 years as a technical leader for Quality Engineers/SDETs
- 8+ years developing and executing Functional/Regression Test Plans and Test Cases across multiple testing types
- 3+ years using cloud-based data warehouse, data lake, or lakehouse platforms, with deep hands-on Databricks expertise
- Familiarity with Snowflake, Amazon Redshift, Microsoft Fabric, or Google BigQuery
- 6+ years of expertise with object-oriented programming languages and frameworks, such as C#, Python, Java, JavaScript, TypeScript, Ruby, C++, or Golang
- 6+ years developing database scripts, managing database objects, and writing queries in relational database systems such as SQL Server, Oracle, PostgreSQL, or MySQL
- Hands-on proficiency with AI Coding Assistants in a production engineering context, including prompt/context/loop/graph engineering and agentic AI workflows for test automation
- Experience working in Agile development environments
- Preferred: test automation frameworks/tooling for Data Engineering/Data Operations solutions
- Preferred: Databricks Declarative Automation Bundles (DAB)
- Preferred: healthcare, pharmacy, or PBM experience
- Preferred: Medicare Part D, CMS regulations, or regulated data environments
- Preferred: AI-driven quality engineering strategies
- Preferred: Azure Data Factory, Azure DevOps, and CI/CD pipelines
Benefits:
- Paid Time Off
- 401(k) program
- Health Insurance including Dental & Vision coverage
- Student Loan Reimbursement
- Health Savings Account
- Employee Assistance Program
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