Staff Software Development Engineer – Test

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EmpiRx Health

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

🏥 Healthcare

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

Healthcare • Healthcare Insurance • Artificial Intelligence

EmpiRx Health is a clinically-driven pharmacy benefits management (PBM) company that uses a Medication Optimization (MO) operating model to improve patient outcomes and lower drug costs. The company combines in-house clinical pharmacists, peer-to-peer physician collaboration, and AI-powered population health and analytics technology (the Clinically™ platform and Population Health Engine) to assess pharmacy claims, identify clinically appropriate medication interventions, guarantee auditable savings to plan sponsors, and provide high-touch member care advocacy. EmpiRx partners with plan sponsors and health plans to replace traditional rebate-driven PBM models with value- and outcomes-based pharmacy care.

📋 Description

• 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