Senior Data Engineer

JOB SUMMARY

We are looking for a Senior Data Engineer who can hit the ground running. You will be a core builder of our data infrastructure, owning end-to-end pipelines, shaping our Microsoft Fabric environment, and leading API integration work as we scale. This role is ideal for someone who can take a rough requirement, ask the right clarifying question, and ship both accurately and quickly. You will operate with a high degree of autonomy, managing your own time, surfacing blockers early, and delivering production-quality work with minimal oversight.

JOB TASKS AND RESPONSIBILITIES

Data Pipeline Development

• Design, build, and maintain scalable data pipelines within Microsoft Fabric (Lakehouse, Data Factory, Synapse Analytics, Power BI datasets).
• Ensure data accuracy, consistency, and integrity across all pipeline outputs.
• Proactively identify performance bottlenecks, data quality issues, and architectural improvements.

API Integration

• Lead and execute API integrations with payer systems, EHR platforms, clearinghouses, and internal tools as we expand our connectivity footprint.

Stakeholder Collaboration

• Translate business and operational requirements from stakeholders into clean, well-documented technical solutions.
• Collaborate with program management, product, and operations teams to surface the right data at the right time.
• Document work clearly so the team can build on it.
• Manage own workload, prioritize effectively, and communicate progress and blockers without being prompted.

SKILL SET

Required Skills and Competencies

• Strong proficiency in SQL and Python.
• Strong grasp of data modeling, ETL/ELT design patterns, and data warehouse concepts.
• Ability to work from high-level requirements and independently drive solutions to completion.
• Self-directed: manages own queue, asks smart questions, and doesn’t wait to be told what to do next.
• Excellent communication skills — able to explain technical decisions to non-technical stakeholders clearly and concisely.
• Experience with cloud-based data platforms, modern data warehouse technologies, and Medallion architecture.
• Experience with complex DAX language and ability to simplify joins and/or migrate into semantic models.
• Experience with data orchestration, automation, and CI/CD practices.
• Experience supporting enterprise analytics and business intelligence initiatives.
• Knowledge of data governance, security, and compliance best practices.
• Ability to mentor data engineers to produce high-quality work that is both precise and quick to deliver.
• Ability to translate business requirements into technical requirements and envision the final product.

Nice to Have

• Experience in healthcare, RCM, or a similarly regulated, data-intensive industry.
• Familiarity with HL7/FHIR standards or payer/clearinghouse API ecosystems.
• Exposure to Agile or Scrum workflows.
• Comfort working in a high-growth, startup-adjacent environment where priorities can shift quickly.

QUALIFICATIONS

Required

• 6+ years of experience in data engineering, with strong proficiency in SQL and Python.
• Hands-on experience with Microsoft Fabric or a demonstrable ability to ramp quickly (Synapse, Azure Data Factory, Power BI Premium experience strongly considered).
• Proven experience building and maintaining REST API integrations in a production environment.
• A track record of delivering accurate, production-quality work under real timelines.

Preferred

• Relevant cloud, database, or data engineering certifications.
• Experience in healthcare, RCM, or a similarly regulated, data-intensive industry.

BENEFITS

• 100% remote first company to foster flexibility, inclusivity, and autonomy.
• Competitive salary and performance-based increases.
• Comprehensive health insurance plans.
• Retirement savings plan (401(k)) with employer matching.
• Responsible PTO and holidays.
• Professional development opportunities.
• Collaborative and supportive work environment.
• Recognized as a Great Place to Work by our employees.