Arine: Data Engineering Lead

Position Overview

Arine is a rapidly growing healthcare technology and clinical services company based in San Francisco. Our mission is to ensure individuals receive the safest and most effective treatments for their unique and evolving healthcare needs. We address the significant harm and waste caused by incorrect medications, which costs the US healthcare system over $528 billion annually. Arine redefines excellent healthcare by solving these issues through our SaaS platform, combining cutting-edge data science, machine learning, AI, and deep clinical expertise. We deliver a patient-centric view to medication management and develop personalized care plans at scale for patients and their care teams.

Arine is committed to improving the lives of complex patients who significantly impact healthcare costs and have historically been difficult to identify and address. These patients often face challenges with complicated prescribing issues across multiple medications and providers, chronic disease management, and access to care. Backed by leading healthcare investors and collaborating with top healthcare organizations, we deliver recommendations and facilitate clinical interventions that lead to measurable health improvements for patients and cost savings for our customers.

Why Arine is a Great Place to Work:

• Outstanding Team and Culture: Our shared mission unites and motivates us. We possess a relentless passion and commitment to innovation, striving 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 overall cost of care.
• Market Opportunity: Arine is backed by leading healthcare investors and was founded to tackle one of the largest healthcare problems: non-optimized medication therapies, which cost the US 275,000 lives and $528 billion annually.
• Dramatic Growth: In just four years, Arine manages over 18 million lives across prominent health plans. We were ranked 236 on the 2024 Inc. 5000 list and named the 5th fastest-growing company in the AI category.

The Role: Data Engineering Lead

The Data Engineering Lead is a pivotal hybrid role within the Data Engineering team, combining hands-on development with leadership responsibilities. This individual will lead a squad of Data Engineers to deliver high-quality, high-velocity customer data pipelines while maintaining existing ones. The Data Engineering Lead owns end-to-end delivery, including project management, data quality, and timelines, and is accountable for both team output and their own individual contributions. This role requires consistently high standards in both coding and execution.

Responsibilities:

• Collaborate with the Implementation team and Data Analyst to review and own DE requirement writeups, ensuring they fully address data needs discussed in implementation calls.
• Communicate timelines for deliverables to unblock Data Engineers for ETL pipeline development.
• Proactively flag risks to timelines or quality to stakeholders and project managers.
• Lead backlog grooming for implementation-related tickets.
• Ensure team cross-coverage: both the DE Lead and assigned Data Engineer should understand the full ETL flow, with at least two additional engineers familiar at a high level.
• Conduct thorough peer reviews and DE UATs after initial UAT completion.
• Work with QA and CSA teams to resolve post-UAT issues and update the DE UAT checklist.
• Provide technical guidance and mentorship to junior engineers, promoting best practices and coding standards.
• Identify and escalate inefficiencies within and across teams.
• Support project management and provide leadership to peers as needed.