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 New York City or 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 Business Intelligence Developer
Reporting & Dashboard Development: Design, develop, and maintain insightful reports, interactive dashboards, and compelling visualizations using leading BI tools (e.g., Looker, Tableau, Power BI) for various stakeholders, including hospital providers, managed care organization operators, healthcare providers, and healthcare executives.
Data Analysis & Insights: Conduct deep-dive analyses on large, complex healthcare datasets to identify trends, opportunities, and areas for improvement related to patient outcomes, medical costs, financial performance, and operational efficiency. SQL &
Database Proficiency: Write complex, optimized raw SQL queries to extract, transform, and load data from various relational and non-relational databases, ensuring data accuracy and performance.
Healthcare Domain Expertise: Apply exceptional knowledge of healthcare metrics, statistics, HCC coding, DRG coding, and the operational intricacies of various commercial and government healthcare plans (e.g., Medicare, Medicaid, commercial payers) to contextualize data and generate relevant insights.
Data Structure Understanding: Leverage a strong understanding of how healthcare data is structured across different sources (e.g., claims, EMRs, clinical notes) to effectively integrate and analyze information.
Minimum Qualifications
7+ years of hands-on experience as a Business Intelligence Analyst, Data Analyst, or a similar role, with a strong focus on delivering actionable insights.
Exceptional knowledge of healthcare metrics and statistics, including an in-depth understanding of HCC coding, DRG coding, and how various commercial and government healthcare plans operate.
Proficiency with databases and expertise in complex queries, dimensional modeling, and performance optimization, including how to access them and the ability to write complex, raw SQL queries for data extraction and manipulation.
Mastery of various BI visualization tools, specifically Looker and Tableau.
Mastery of dbt (macros, testing, Jinja templating) and GCP BigQuery (partitioning, clustering, cost/performance tuning).
Experience with pipeline design, orchestration tools (Airflow/Cloud Composer), and Python for automation.
Strong in data testing/validation, Git-based workflows, and translating business requirements into technical solutions.
Comprehensive understanding of how healthcare data is structured across different systems and formats.
Intimate knowledge of and ability to implement data validation, quality assurance, and testing strategies for BI deliverables.
Experience providing technical leadership and guidance, and thinking strategically and analytically to solve complex business problems.
Friendly communication skills and ability to work well in a diverse, cross-functional team setting.
Demonstrated experience working with many cross-functional partners
Preferred Qualifications
Actuarial background or related experience in risk assessment and financial modeling within healthcare.
Direct experience having worked at a health plan (commercial, Medicare Advantage, Medicaid, or self-funded employer plans).
Knowledge of various standard plan formats (e.g., X12, HL7, FHIR, custom payer feeds).
Experience with big data technologies and cloud data platforms (e.g., Google Cloud Platform, AWS, Snowflake, Databricks).
Proficiency in scripting languages like Python for data manipulation and automation.
Experience with statistical analysis and predictive modeling.
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Experienced data engineer needed to build and optimize production ETL and real-time data pipelines on Azure while mentoring junior engineers and improving data architecture.
Experienced Data Engineer needed to architect and deliver scalable, low-latency cloud data systems and lead cross-functional projects for a US-based partner, recruited via Jobgether.
SpaceX is hiring a Data Engineer in Redmond, WA to build data systems and analytics that power the Direct to Cell network and scale connectivity for millions of users.
Experienced data architecture leader needed to design enterprise data platforms, establish standards, and enable analytics and AI across a cloud-first environment.
Experienced data engineer needed to build and optimize cloud data pipelines, implement data security and compliance, and support analytics at scale in a remote-first role.
As Tin Can’s first Analytics Engineer you’ll design the end-to-end data stack, ship production pipelines and models, and turn data into actionable insights that shape product and growth.
Mod Op is seeking a Junior Data Engineer to build scalable ETL/ELT pipelines and dashboards across GCP/AWS to enable data-driven marketing and analytics.
Lead the design and execution of data use governance for Intuitive’s digital and clinical product portfolio to ensure compliant, secure, and customer-focused data utilization.
A remote-first SaaS company is hiring a Technical Leader and Manager to own platform and data architecture, lead an engineering team, and deliver reliable, observable production systems.
Nest is hiring a Data Engineer to design and scale the pipelines and analytics infrastructure that make veterinary and financial data reliable, accessible, and actionable.
Jobgether seeks a Senior Data Engineer to design and deliver scalable batch and streaming data pipelines that turn complex data into reliable, actionable insights for a US-based employer offering flexible remote work.
Experienced BI Developer needed to deliver and optimize Tableau and SSRS analytics, leveraging dbt and Snowflake in a fast-paced, healthcare-focused environment.
Experienced Informatica Product360 Architect needed to lead PIM architecture, workflow development, and governance for high-impact, cross-team projects in a remote U.S. role.