Staff Software Engineer, Data

1. About Our Client:

The organization provides an end-to-end ecosystem designed specifically to support Programs of All-Inclusive Care for the Elderly (PACE). It addresses challenges related to care coordination, financial performance, and compliance by replacing outdated technology and manual processes with tailored solutions for risk adjustment, population health, and utilization management. The organization focuses on improving outcomes for dual-eligible seniors, a group with significant social vulnerabilities and clinical complexities within the US healthcare system.

2. About the Opportunity:

The Staff Software Engineer, Data role is a key technical leadership position within the data engineering team responsible for the ELT platform that supports the DataHub product and internal analytics. This position involves shaping the technical strategy, designing solutions for complex problems, mentoring engineers, and enhancing the team’s overall capability. The role directly impacts the platform’s effectiveness and the organization’s ability to deliver improved healthcare solutions.

3. Responsibilities:

• Drive the technical direction of the ELT platform with a multi-quarter strategic focus
• Write design documents to guide major initiatives and establish team standards
• Decompose large, ambiguous projects into actionable work for various engineering levels
• Collaborate with product, leadership, and engineering teams to align platform strategy with business goals
• Provide architectural guidance and make decisions on trade-offs across projects
• Identify and address systemic risks, scalability, and reliability issues proactively
• Deliver deep, substantive feedback on code reviews and design documents
• Mentor senior engineers and guide growth paths for all team members
• Establish and enforce standards for code quality, testing, observability, security, and HIPAA compliance
• Lead responses to complex incidents and drive preventive follow-up work
• Utilize AI-assisted tools to enhance team productivity and define related practices

4. Requirements:

• 7+ years of professional software or data engineering experience with proven technical leadership
• Expertise in SQL and Python
• Hands-on experience with Airflow or similar orchestrators, dbt or modern transformation frameworks, and cloud data warehouses such as Snowflake, BigQuery, or Redshift
• Experience addressing scaling challenges at data, warehouse, and infrastructure levels
• Knowledge in areas like data platform architecture, HIPAA-compliant data handling, or reliability engineering
• Ability to anticipate design flaws, edge cases, and organizational risks early
• Proven track record of owning technical roadmaps and delivering complex projects
• Experience mentoring engineers
• Comfort working across application, infrastructure, deployment, observability, and incident response layers
• Judicious use of AI-assisted development and ability to set team standards
• Commitment to quality with strong emphasis on testing
• Excellent written and verbal communication skills
• Pragmatic approach to balancing long-term investments, technical debt, and delivery

5. Pay Range and Compensation Package:

The pay range and compensation package for this role will be determined based on the candidate’s experience, skills, and other relevant factors.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.