Founding Data Engineer for Healthcare AI Platform

Insidepfa; Woburn (MA); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Wellness reimbursement

Job summary

Patient Funding Alternatives (PFA) is building a data platform from the ground up. You’ll own the data platform, ingestion pipelines, and analytics architecture to turn fragmented healthcare data into actionable insights that help patients access coverage and hospitals operate more efficiently.

Reporting to the CTO, you’ll shape Enable 2.0, partner with product and engineering, build predictive models, dashboards in Power BI, and implement testing and standards across data systems.

Qualifications

• Senior-level experience building production data systems.
• Expert-level Python — pipeline development, data manipulation, modeling, and backend engineering.
• Strong SQL proficiency — complex queries, performance optimization, and database design.
• Experience building predictive analytics models for a production environment.
• Experience with hospital data systems and/or healthcare data standards (HL7, FHIR, claims data).
• Proven track record working with messy, immature, or incomplete datasets — data cleaning and governance is part of the job.

Responsibilities

• Own PFA’s data platform, analytical infrastructure, and data engineering architecture.
• Help redesign and build the next-generation data architecture supporting Enable 2.0, including ingestion pipelines, APIs, analytical models, and cloud-native services.
• Build and maintain integrations for external data injections from hospital and healthcare data partners.
• Design and implement durable data cleaning and quality processes for immature, fragmented healthcare data — build repeatable pipelines, not one-off fixes.
• Design database schemas and data models that support both operational and analytical workloads.
• Work alongside our product and engineering teams to develop AI-driven capabilities including predictive modeling and intelligent workflow prioritization.
• Derive actionable insights from complex hospital datasets and communicate findings clearly to non-technical leaders.
• Build reporting layers and dashboards using Power BI or similar BI tools.
• Develop analyses and models that inform decisions at the executive level.
• Write clean, well-documented, production-grade Python and SQL.
• Apply sound software design principles to data systems — modularity, maintainability, and scalability.
• Use version control (Git) and participate in code reviews as standard practice.
• Build automated testing into pipelines and data systems to ensure reliability.
• Serve as PFA’s internal owner and subject matter expert for the data platform.
• Translate business questions from the CTO and operational leaders into well-scoped technical problems; communicate findings back in plain language.
• Proactively identify where data quality, coverage, or tooling gaps are limiting the business — and own the path to fixing them.
• Establish data best practices and standards as PFA’s data organization grows.

Skills

Python

SQL

Data modeling

ETL pipelines

Big data

BI tooling

Tools

Power BI

Git

Airflow

dbt

Job description

Patient Funding Alternatives (PFA) is building a data platform from the ground up. You’ll own the data platform, ingestion pipelines, and analytics architecture to turn fragmented healthcare data into actionable insights that help patients access coverage and hospitals operate more efficiently.

Reporting to the CTO, you’ll shape Enable 2.0, partner with product and engineering, build predictive models, dashboards in Power BI, and implement testing and standards across data systems.