Senior Data Engineer

November 25

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Arbiter

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SaaS • Healthcare Insurance

Arbiter is a care orchestration platform that unifies patients, payers, and providers on a single intelligent system to automate referrals, prior authorizations, scheduling, and care optimization. The modular SaaS embeds into existing clinical workflows, consolidates clinical, financial, and policy data, and uses AI-driven routing and automation to improve referral matching, reduce administrative burden, and ensure timely, cost-effective care. Arbiter is built by industry operators and integrates with EMRs and payer systems to deliver closed-loop execution across the care continuum.

11 - 50 employees

Founded 2025

☁️ SaaS

⚕️ Healthcare Insurance

📋 Description

• Architect & Build: Design, develop, and maintain robust, scalable, and high-performance data processing systems (batch and/or real-time streaming) that power critical business functions, AI agents, and advanced analytics. • Technical Leadership: Lead complex data engineering initiatives from conception to deployment, ensuring data pipelines are reliable, efficient, testable, maintainable, and adhere to best practices for data ingestion from EMRs, claims, payor files, and payer policies. • Data Modeling & Governance: Drive the design of our enterprise data models for optimal storage, retrieval, and analytical performance, ensuring alignment with product, business, and regulatory requirements, including tracking RAF performance and HCC code detection. • Platform & Tooling: Champion and contribute to the development of core data platform tooling, frameworks, and standards that enhance developer productivity and data quality across the organization, supporting our AI agents and auditable systems. • Cross-Functional Collaboration: Partner closely with product managers, data scientists, software engineers, and other non-technical stakeholders to understand data needs, deliver impactful solutions, and provide expert data insights that drive the intelligent operating system. • Mentorship & Growth: Actively participate in mentoring junior data engineers, contributing to our team's growth through technical guidance, code reviews, and knowledge sharing. • Hiring & Onboarding: Play an active role in interviewing and onboarding new team members, helping to build a world-class data engineering organization.

🎯 Requirements

• 8+ years of deep, hands-on experience in Data Engineering, Data Infrastructure, or building Data Engineering Tools and Frameworks, ideally within a high-growth tech environment. • Exceptional expertise in data structures, algorithms, and distributed systems. • Mastery in Python for large-scale data processing; experience with other languages like Java or Scala is a plus. • Extensive experience designing, building, and optimizing complex, fault-tolerant data pipelines (both batch and real-time streaming). • Profound understanding and hands-on experience with cloud-native data platforms, especially Google Cloud Platform (GCP) services like BigQuery, Dataflow, Composer, Dataproc. • Demonstrated experience with modern data orchestration (e.g., Airflow), data transformation (dbt), and data warehousing concepts. • Intimate knowledge of and ability to implement unit, integration, and functional testing strategies. • Experience providing technical leadership and guidance, and thinking strategically and analytically to solve problems. • Friendly communication skills and ability to work well in a diverse team setting. • Demonstrated experience working with many cross-functional partners. • Demonstrated experience leading a software product or component vision and delivery plan.

🏖️ Benefits

• Highly Competitive Salary & Equity Package: Designed to rival top FAANG compensation, including meaningful equity. • Generous Paid Time Off (PTO): To ensure a healthy work-life balance. • Comprehensive Health, Vision, and Dental Insurance: Robust coverage for you and your family. • Life and Disability Insurance: Providing financial security. • Simple IRA Matching: To support your long-term financial goals. • Professional Development Budget: Support for conferences, courses, and certifications to fuel your continuous learning. • Wellness Programs: Initiatives to support your physical and mental health.