Staff Software Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Software Engineer, Data based in United States.

This is a senior technical leadership role focused on shaping and scaling a modern data engineering platform that powers critical analytics and product capabilities.

• Drive the technical direction of the ELT and data platform over a multi-quarter horizon, balancing strategic investments, technical debt, reliability, and pragmatic delivery.
• Translate business and product goals into technical strategies, architectural designs, and shippable initiatives that can be executed effectively by multiple engineers.
• Author and maintain high-quality design documents that establish technical direction and serve as canonical references for the engineering organization.
• Provide architectural guidance across the codebase and make high-impact tradeoff decisions spanning data, application boundaries, infrastructure, deployment, observability, and reliability.
• Identify systemic risks, scalability constraints, security concerns, data-quality issues, and potential failure modes early, incorporating mitigation into the technical roadmap.
• Provide deep, substantive reviews of pull requests and design proposals, raising engineering standards beyond individual implementation details.
• Mentor and coach senior engineers while helping establish growth paths and technical expectations across the team.
• Set and maintain standards for code quality, testing, observability, security, reliability, and HIPAA-compliant handling of protected health information.
• Lead technical response to the most complex production incidents and ensure follow-up improvements prevent recurring failures.
• Partner with product, leadership, and cross-functional engineering teams to align platform investments with measurable business outcomes.
• Use AI-assisted development tools, including Claude Code, to increase engineering effectiveness and help establish thoughtful team-wide practices around AI-enabled workflows.
• Continuously improve the platform so engineers can work with greater speed, confidence, reliability, and independence.

• 7+ years of professional software engineering or data engineering experience, demonstrating progressively broader technical leadership.
• Deep expertise in SQL and Python, with a strong software-engineering approach to data engineering.
• Extensive hands-on experience with Airflow or a comparable orchestration platform, dbt or another modern transformation framework, and a cloud data warehouse such as Snowflake, BigQuery, or Redshift.
• Proven experience solving scaling, performance, reliability, and infrastructure challenges at the warehouse and data-platform levels.
• Strong expertise in at least one adjacent area such as data platform architecture, HIPAA-compliant data handling, or reliability engineering.
• Demonstrated ability to anticipate architectural flaws, edge cases, scaling constraints, and organizational risks before they materially affect delivery.
• Experience owning technical roadmaps, converting ambiguous requirements into actionable designs, and guiding multiple engineers through delivery.
• Proven track record of mentoring engineers and influencing technical direction beyond individual projects.
• Comfort working across application boundaries, infrastructure, deployment tooling, observability, and incident response.
• Strong judgment regarding when and how to use AI-assisted development, along with the ability to establish effective engineering practices around these tools.
• Quality-driven mindset with a strong emphasis on testing rigor, maintainability, reliability, and operational excellence.
• Excellent written and verbal communication skills, particularly the ability to align engineering, product, and leadership through clear technical documentation.
• Pragmatic approach to engineering decisions, knowing when to make long-term investments, reduce technical debt, or ship an imperfect but valuable solution.
• Experience with healthcare data standards such as HL7 or FHIR, EHR integrations, value-based care, PACE, Medicare/Medicaid populations, Kubernetes, Snowflake, MongoDB, or observability tooling is a plus.
• Experience in staff/principal-level data platform roles, technical hiring or organizational design, or machine learning/AI applications in healthcare analytics is also advantageous.
• Must be based in the United States; this position is not eligible for sponsorship.

• Competitive base salary: $180,000–$190,000 annually, with final compensation based on experience, skills, and organizational needs.
• Fully remote: Work remotely from anywhere in the United States.
• Opportunity to shape the technical direction of a mission-driven healthcare data platform.
• Significant staff-level ownership over architecture, engineering standards, reliability, and platform evolution.
• Collaborative, remote-first environment built around ownership, data-informed decision-making.