Staff Software Engineer, Full Stack – Enabling Plan and Benefits Data

This is a fully remote position, open to applicants in California, +2 more states.

📋 Description

• Take ownership of and enhance the data pipeline platform that ingests provider, benefit, and pricing data into Snowflake, delivering it to third-party consumers via SFTP.

• Design, construct, and maintain integrations with third-party data providers and vendors, addressing schema drift, malformed data, and specific partner nuances.

• Develop internal tools to automate repetitive, high-volume operational tasks, such as adjusting pricing for benefit amounts.

• Process and reconcile extensive volumes of medical provider data, prioritizing data quality, lineage, and auditability.

• Establish the technical direction for data infrastructure and integration methodologies, including the assessment of event-driven pipelines, CDC, and workflow orchestration.

• Evaluate designs, collaborate on challenging problems, and assist engineers across various teams in overcoming obstacles.

• Promote engineering standards for pipeline reliability, observability, and testing practices.

• Collaborate with product, operations, and pricing stakeholders to translate ambiguous business requirements into robust technical systems.

• Provide mentorship to engineers through code reviews, design documentation, and hands-on collaboration.

⛳️ Requirements

• Must reside in California, Oregon, or Washington.

• Over 10 years of professional software engineering experience, with a proven record of managing data-intensive systems in production environments.

• Extensive experience in constructing and operating scalable data pipelines, including ingestion, transformation, and delivery processes.

• Practical experience in building and maintaining third-party integrations, especially in managing unreliable or inconsistent external data.

• Experience in developing internal tools and platforms that streamline operational workflows for non-engineering teams.

• Strong foundational knowledge in distributed systems, data modeling, and contemporary architectural patterns for large-scale data processing.

• Proven ability to function as a technical leader by setting direction, removing obstacles for others, and exerting influence without direct authority.

• Ability to navigate ambiguity and convert loosely defined operational challenges into well-defined technical solutions.

• Excellent communication skills, capable of articulating data architecture trade-offs to both technical and non-technical stakeholders.

• Proficient and disciplined use of AI-assisted tools, ensuring correctness, security, and quality prior to deployment.

• Experience with healthcare data, such as provider directories, NPI, claims, fee schedules, or benefits data (preferred).

• Familiarity with workflow orchestration tools like Airflow, dbt, or Step Functions (preferred).

🏝️ Benefits

• Competitive salary.

• Bonus opportunities.

• Equity package.

• Comprehensive Medical, Dental, and Vision benefits.

• A 401k retirement plan.

• Paid vacation and company holidays.

• Opportunity to contribute to a rapidly growing mission-driven company that is transforming healthcare in the U.S.