Staff Data Engineer
ArineRemote (United States of America)$170k – $185kPosted 2 April 2026
Job Description
Based in San Francisco, Arine is a rapidly growing healthcare technology and clinical services company with a mission to ensure individuals receive the safest and most effective treatments for their unique and evolving healthcare needs.
Frequently, medications cause more harm than good. Incorrect drugs and doses costs the US healthcare system over $528 billion in waste, avoidable harm, and hospitalizations each year. Arine is redefining what excellent healthcare looks like by solving these issues through our software platform (SaaS). We combine cutting edge data science, machine learning, AI, and deep clinical expertise to introduce a patient-centric view to medication management, and develop and deliver personalized care plans on a massive scale for patients and their care teams.
Arine is committed to improving the lives and health of complex patients that have an outsized impact on healthcare costs and have traditionally been difficult to identify and address. These patients face numerous challenges including complicated prescribing issues across multiple medications and providers, medication challenges with many chronic diseases, and patient issues with access to care. Backed by leading healthcare investors and collaborating with top healthcare organizations and providers, we deliver recommendations and facilitate clinical interventions that lead to significant, measurable health improvements for patients and cost savings for customers.
Why is Arine a Great Place to Work?:
Outstanding Team and Culture - Our shared mission unites and motivates us to do our best work. We have a relentless passion and commitment to the innovation required to be the market leader in medication intelligence.
Making a Proven Difference in Healthcare - We are saving patient lives, and enabling individuals to experience improved health outcomes, including significant reductions in hospitalizations and cost of care.
Market Opportunity - Arine is backed by leading healthcare investors and was founded to tackle one of the largest healthcare problems today. Non-optimized medications therapies which cost the US 275,000 lives and $528 billion annually.
Dramatic Growth - Arine is managing more than 18 million lives across prominent health plans after only 4 years in the market, and was ranked 236 on the 2024 Inc. 5000 list and was named the 5th fastest-growing company in the AI category.
The Role :
As a key technical leader and team architect working in a fast-paced environment, you will drive the design, development, and optimization of scalable data ingestion pipelines within the Arine platform. Leveraging expert-level proficiency in Python and AWS, you will architect solutions that handle diverse file types and large-scale healthcare datasets. You will have a direct impact on building reusable, configurable tools set for handling data needs for the entire company.
What You'll be Doing:
Act as the team architect by leading system design reviews, offering recommendations, conducting comprehensive peer reviews, and demonstrating expert-level proficiency in Python and AWS services
Architect and implement scalable data ingestion pipelines that handle different file types into the Arine platform
Develop reusable components that integrate into data pipelines to increase efficiency and reduce future implementation time
Create configuration-driven, containerized toolsets that are easy to use and maintain across diverse engineering profiles
Work collaboratively with cross-functional teams to meet data requirements through ETL components
Design and maintain data transformation pipelines using DBT, including macros, incremental models, and DBT tests
Implement incremental data ingestion strategies for large-scale healthcare datasets
Build monitoring and alerting systems for data ingestion processes and overall pipeline health
Apply software engineering best practices, including test-driven development and modular design, to data infrastruc ... (truncated, view full listing at source)
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