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.