[Hiring] Staff Software Engineer @Sidecar Health

Role Description

Healthcare runs on data moving between systems that were never designed to talk to each other. You'll own the platform that makes that data usable: the pipelines that land it in Snowflake, the delivery pipelines that get it back out to partners, and the third-party integrations that keep it flowing correctly at scale.

You'll also build the internal tools that let our operations and pricing teams move fast without waiting on engineering for every change. This is a Staff-level role where you'll be expected to:

• Own and evolve the data pipeline platform that ingests provider, benefit, and pricing data and delivers it into Snowflake and out to third-party consumers via SFTP.
• Design, build, and maintain integrations with third-party data providers and vendors, handling schema drift, malformed data, and partner-specific quirks gracefully.
• Build internal staff tools that automate repetitive, high-volume operational work (e.g., pricing adjustments for benefit amounts).
• Process and reconcile large volumes of medical provider data, focusing on data quality, lineage, and auditability.
• Set technical direction for data infrastructure and integration patterns, evaluating and introducing modern architectural approaches.
• Act as a technical unblocker across teams: review designs, pair on hard problems, and help other engineers ship.
• Drive engineering standards for data pipeline reliability, observability, and testing.
• Partner closely with product, operations, and pricing stakeholders to translate ambiguous business needs into durable technical systems.
• Mentor engineers and raise the technical bar through code review, design docs, and hands-on collaboration.

Qualifications

• 10+ years of professional software engineering experience, with a track record of owning data-intensive systems in production.
• Deep experience building and operating data pipelines at scale; ingestion, transformation, and delivery (Snowflake experience strongly preferred).
• Hands-on experience building and maintaining third-party integrations, including handling unreliable or inconsistent external data.
• Experience building internal tools/platforms that automate operational workflows for non-engineering teams.
• Strong fundamentals in distributed systems, data modeling, and modern architectural patterns for processing data at scale.
• Demonstrated ability to operate as a technical leader: setting direction, unblocking others, and influencing without direct authority.
• Comfort with ambiguity; able to take a loosely defined operational pain point and turn it into a well-scoped technical solution.
• Strong communication skills; able to explain a data architecture tradeoff to both engineers and non-technical stakeholders.
• Fluent, disciplined use of AI-assisted tooling to move faster, with the rigor to verify correctness, security, and quality before it ships.

Requirements

• Experience with healthcare data (provider directories, NPI, claims, fee schedules, or benefits data) is a plus.
• Familiarity with workflow orchestration tools (Airflow, dbt, Step Functions, etc.) is a plus.

Benefits

• Competitive salary, bonus opportunity, and equity package.
• Comprehensive Medical, Dental, and Vision benefits.
• A 401k retirement plan.
• Paid vacation and company holidays.
• Opportunity to make an impact at a rapidly growing mission-driven company transforming healthcare in the U.S.