Staff Engineer, Healthcare Data

Capital Factory; United States; Remote; USD 180,000 - 220,000; Full time

Benefits offered by this job

Stock options

Benefits package

Incentive pay

Job summary

b.well is hiring a Staff Engineer for Healthcare Data to lead ingestion, transformation, and delivery of health data at scale on a FHIR-based platform. You will own the architecture of end-to-end pipelines, drive data quality and conformance, and advance AI-native tooling and secure engineering practices.

Collaborating across teams, you will set standards for performance, reliability, and PHI-safe delivery while mentoring engineers and shaping secure, scalable health-data solutions.

Qualifications

• 8+ years in data engineering or health IT with staff-level ownership.
• Proven experience building large-scale health-data pipelines end-to-end.
• Experience defining frameworks and standards that accelerate teams.
• AI-native engineer familiar with coding agents and reusable AI skills.

Responsibilities

• Set the technical direction for ingestion, transformation, and delivery.
• Own end-to-end architecture of large-scale pipelines transforming raw data to FHIR.
• Diagnose performance bottlenecks and optimize distributed processing.
• Build automated testing and validation for data quality and FHIR conformance.

Skills

Distributed data engineering

PySpark / Spark

Databricks / Delta Lake

Python

FHIR standards

HIPAA compliance

AI-native engineering

Job description

Position: Staff Engineer, Healthcare Data

Location: Remote

Job Id: 406

# of Openings: 1

Staff Engineer, Healthcare Data Individual Contributor - Staff Level

Health Data Platform FHIR at Scale

Company Overview

b.well is solving healthcare's fragmentation problem with our FHIR-based health data management platform. The platform connects data from EHRs, wearables, portals, and other sources, while our intelligence engine personalizes the consumer experience. By simplifying the complex healthcare ecosystem, we make it easy and convenient for consumers to engage and take action - whether it's scheduling care, setting reminders, accessing health data, and more. For our clients, this means better health outcomes, operational efficiency, and stronger consumer engagement.

The Role

You'll set the technical direction for how b.well ingests, transforms, and delivers healthcare data at scale on our FHIR-based platform - owning our hardest problems (large-scale pipeline performance, data quality and de-duplication, terminology normalization, and reliable delivery of standards-conformant FHIR) and turning each solution into reusable frameworks the whole team builds on. This is an AI-native role: you'll pair first-principles engineering rigor with modern agentic tooling - coding agents such as Claude Code and reusable AI skills, to ship faster and turn raw health data into trustworthy, reasoning-ready health data intelligence.

What You'll Do:

Work AI-native & Set the Bar

• Make coding agents (e.g., Claude Code) and reusable AI skills a first-class part of how the team engineers - shipping faster by automating the repetitive and amplifying the hard parts
• Bring the rigor to know when to trust an agent, when a deterministic rule-based approach wins, and how to keep AI-generated code correct, tested, and PHI-safe
• Package engineering and data-quality judgment into reusable tooling the whole team applies consistently

Build & Scale Healthcare Data Solutions

• Own the end-to-end architecture of large-scale pipelines that transform raw source data into clean, standards-conformant FHIR
• Diagnose and eliminate performance and scaling bottlenecks in distributed processing so jobs run faster and more cost-efficiently
• Set standards for data quality, de-duplication, patient/record linking, and terminology normalization; drive reliable, idempotent delivery at production volume
• Build automated testing and validation for data quality and FHIR conformance

Lead, Secure & Mentor

• Set technical direction across ingestion, transformation, and delivery, and define the frameworks and standards that accelerate the team
• Champion PHI-safe engineering and uphold HIPAA, 21st Century Cures Act, and ONC/CMS compliance across the platform
• Mentor senior and mid-level engineers, and represent b.well in relevant standards and industry discussions

Required Experience

• 8+ years in data engineering, health IT, or healthcare interoperability - with a Staff-level track record of owning systems, not just tasks
• Proven production experience building large-scale health-data pipelines and owning a complex platform end-to-end, including its hardest performance and correctness problems
• Experience defining frameworks and standards that measurably accelerated a team
• AI-native engineer: you already ship with coding agents (e.g., Claude Code) and reusable AI skills, and can raise the whole team's leverage without compromising engineering rigor

Technical Skills

• Distributed data engineering: Apache Spark / PySpark at scale (partitioning, performance and memory tuning); lakehouse tooling such as Databricks and Delta Lake; schema evolution; batch and streaming pipelines
• Pipelines & languages: ETL/ELT, CDC, incremental/delta and idempotent processing; strong Python (required) and SQL; Git, CI/CD, and automated testing
• FHIR & standards: HL7 FHIR R4 (resources, profiles, Bundles), US Core / USCDI, and HL7 v2.x / C-CDA to FHIR conversion
• Terminologies & payer data: SNOMED CT, LOINC, RxNorm, ICD-10, CPT, CVX and crosswalks; claims, coverage, and eligibility data models
• Compliance: HIPAA, 21st Century Cures Act, ONC certification, and CMS Interoperability Rule

Preferred

• Large-scale FHIR data modeling; patient matching / MPI and clinical data-quality profiling
• Payer data exchange (CARIN Blue Button, Da Vinci) and lab/pharmacy data
• LLMs/agents for clinical data extraction, normalization, and terminology mapping; open-source healthcare or HL7 working-group contributions

What Makes You Successful

• Deep curiosity and passion for hard healthcare-data problems, with relentless debugging instincts across multi-stage pipelines
• Uncompromising commitment to data quality, patient safety, and PHI/consent security
• Self-directed - you drive ambiguous problems to a production fix and communicate clearly to technical and non-technical audiences
• AI-native by default: fluent with coding agents (e.g., Claude Code) and reusable AI skills, shipping faster without sacrificing rigor
• Strong engineering mindset: first-principles thinking, deep ownership, correctness over cleverness
• Treats health data as intelligence: turns messy source data into clean, coded, de-duplicated, reasoning-ready records

Salary & Benefits

The target salary range for this position is $180,000 - $220,000 annually and is part of a competitive total rewards package including stock options, benefits, and incentive pay for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually at minimum to ensure competitive and fair pay.

Pay Range: $180,000 - $220,000 per year

Diversity & Inclusion

Data shows that women, people of color, and other underrepresented groups may be less likely to apply for jobs unless they believe they are a perfect match. But b.well holds diversity amongst its key values, and we have a strong commitment to building our workforce and products through that lens.

We are committed to an inclusive and diverse b.well. We are an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran, genetic information, marital status or any other legally protected status.