Senior Data Engineer

Arbiter is reimagining how healthcare works - not by adding more point solutions, but by building the infrastructure that runs the system. We’re designing the intelligent operating spine that unifies data, automates workflows, and aligns incentives across providers, payers, and patients. Our platform embeds AI into real-world care and revenue cycle operations, transforming administrative chaos into orchestrated execution.

We’ve just closed one of the largest early-stage raises in health tech history - backed by some of the most influential players in the industry who collectively manage millions of lives and billions in spend. Paired with a powerhouse board and executive team, we have the capital, context, and relationships to move quicker than anyone - tackling the problems we know intimately and scaling what works. Our MVP is already live with hundreds of providers managing hundreds of thousands of lives, and improving daily based on real-world feedback.

At Arbiter, engineers don’t just ship features - they shape the foundation of an industry in flux. You’ll work alongside a small, elite team of product leaders and technologists from FAANG and top startup and healthcare orgs to architect systems that handle millions of patient records, build AI agents that execute critical healthcare workflows, and design platforms that major health entities depend on daily. Every line of code you write shapes how a $4T industry operates.

The role is on-site, based in our Boca Raton office - a fast-paced, collaborative environment where great ideas move quickly from whiteboard to production.

Pay Transparency

The annual base salary range for this position is $180,000-$240,000. Actual compensation offered to the successful candidate may vary from the posted hiring range based upon work experience, and/or skill level, among other things. This role is also eligible for an equity package.
We’re assembling a team of exceptional builders and are offering hyper-competitive benefit packages, including unlimited PTO, and other great benefits to attract and reward standout performers. If you’re looking for purpose, pace, and the opportunity to modernize one of the largest industries in the world, let’s talk.

Responsibilities of the Senior Data Engineer

• Architect & Build: Design and maintain scalable, high-performance batch and streaming data systems supporting core functions, AI agents, and analytics.

• Technical Leadership: Lead data initiatives end-to-end, ensuring pipelines are reliable, efficient, testable, and aligned with ingestion best practices across EMRs, claims, and payer data.

• Data Modeling & Governance: Define enterprise data models for optimal storage, retrieval, and analytics, aligned with business, regulatory, RAF, and HCC requirements.

• Platform & Tooling: Develop and standardize core data tools and frameworks to boost developer productivity and system auditability.

• Cross-Functional Collaboration: Work with product, data science, engineering, and non-technical teams to understand data needs and deliver impactful solutions.

• Mentorship & Growth: Mentor junior engineers through code reviews, guidance, and knowledge sharing.

• Hiring & Onboarding: Support interviewing and onboarding to help scale a top-tier data engineering team.

Minimum Qualifications

• 7+ years of hands-on experience in data engineering, infrastructure, or tooling, ideally in high-growth tech environments.

• Strong expertise in data structures, algorithms, and distributed systems.

• Proficient in Python for large-scale data processing; Java or Scala a plus.

• Proven track record building and optimizing complex, fault-tolerant batch and streaming pipelines.

• Deep experience with cloud-native platforms, especially GCP (BigQuery, Dataflow, Composer, Dataproc).

• Skilled in orchestration (e.g., Airflow), transformation (dbt), and data warehousing.

• Strong grasp of unit, integration, and functional testing strategies.

• Experienced technical leader with strategic and analytical problem-solving skills.

• Effective communicator who thrives in diverse, collaborative teams.

• Experienced in cross-functional collaboration.

• Led product/component vision and execution.

Preferred Qualifications

• Experience deploying machine learning models in production, ideally in healthcare or life sciences, with focus on AI agent development.

• Skilled in extracting and correlating insights from unstructured medical data (e.g., PDFs, clinical notes).

• Proficient in BI tools like Looker, Tableau, or similar for data analysis and visualization.

• Familiar with data governance, security, and compliance (e.g., HIPAA, GDPR) in regulated industries.