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Arbital Health · 1 day ago

Senior Data Engineer

San Francisco, CA

Full-time

Hybrid

Senior Level

$170K/yr - $215K/yr

Arbital Health is a rapidly growing healthcare technology and actuarial leader that centralizes, measures, and adjudicates value-based care contracts at scale. The Senior Data Engineer will be crucial in curating data and scaling pipelines to ensure customers gain high-value insights from healthcare financial data.

Health CareMedicalWellness

H1B Sponsor Likely

Responsibilities

Leverage your advanced skills in Python and SQL and with platforms like Databricks and AWS to build highly scalable data pipelines and warehouses

Design and maintain context engineering pipelines (embedding generation, indexing, vector storage) for conversational AI, collaborating with the Senior AI Engineers and Data Scientists

Develop and deploy scalable AI/ML data pipelines, specializing in data prep/serving for LLMs and RAG systems

Stay ahead of emerging tech and integrate it into business solutions

Automate data workflows for ingestion, cleansing, quality assurance, enrichment, and aggregation

Ensure data accuracy, integrity, privacy, security, and compliance through automated quality control procedures

Collaborate with an actuarial science team

Contribute to the design, implementation, and overall development of our products

Drive innovation and deliver valuable features for our customers

Qualification

PythonSQLAWSDatabricksMLOpsData EngineeringAI/ML PipelinesStartup ExperienceAttention to DetailCollaboration

Required

Leverage your advanced skills in Python and SQL and with platforms like Databricks and AWS to build highly scalable data pipelines and warehouses

Design and maintain context engineering pipelines (embedding generation, indexing, vector storage) for conversational AI, collaborating with the Senior AI Engineers and Data Scientists

Develop and deploy scalable AI/ML data pipelines, specializing in data prep/serving for LLMs and RAG systems

Stay ahead of emerging tech and integrate it into business solutions

Automate data workflows for ingestion, cleansing, quality assurance, enrichment, and aggregation

Ensure data accuracy, integrity, privacy, security, and compliance through automated quality control procedures

Collaborate with an actuarial science team

Contribute to the design, implementation, and overall development of our products

Drive innovation and deliver valuable features for our customers

Experienced in data-intensive, full-stack development projects

Experience with data/AI architecture and MLOps

Proven, hands-on experience designing and implementing data-intensive solutions using LLMs, vector databases, embeddings, and context engineering techniques (RAG, summarization)

Able to work entrepreneurially – self-motivated, ambitious, and fast-paced

Able to ship extremely high caliber code and build exceptional products

High level of attention to detail

Ability to perform under minimal supervision with accountability for specific objectives and work in a rapidly changing, ambiguous start-up environment

Passionate about improving and innovating

Preferred

Startup experience is highly preferred

Our team works hybrid from the San Francisco Bay Area. We will prioritize candidates who are able to work 1-2x per week from our office and we will consider highly qualified remote candidates who are able to travel for in-person collaboration in San Francisco at least one full week per month

Benefits

Generous equity grants of ISO stock options

Exceptional benefits package with high employer-paid contributions for health, dental, and vision insurance

4% 401(k) match

Flexible PTO, a weeklong winter shutdown, and 10 holidays each year

Occasional travel required - Quarterly team offsites

Company

Arbital Health

Arbital Health provides neutral adjudication services for outcomes-based healthcare contracts.

Founded in 2023

Santa Rosa, California, USA

51-200 employees

https://www.arbitalhealth.com

H1B Sponsorship

Arbital Health has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2024 (3)