Data Engineering Lead

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:

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.

What You'll be Doing:

• 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 by making sure the DE Lead and assigned Data Engineer 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

• Design and maintain data transformation pipelines using dbt, including macros, incremental models, and dbt tests

• 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, and promote best practices and coding standards

• Identify and escalate inefficiencies within and across teams

• Support project management and provide leadership to peers as needed

• Author and support high-quality technical documentation, assisting junior engineers in doing the same

• Collaborate with the DE Manager to report on DE contractor performance issues

• Champion AI-assisted development across the team - establishing norms, workflows, and expectations for using AI coding tools (e.g., Claude Code, Cursor, Copilot) to generate, iterate, and ship production-quality code
  
• Model the “builder to reviewer” shift - demonstrating how senior engineers direct AI agents to produce full solutions, then apply rigorous review, testing, and judgment to own the output
  
  
• Identify opportunities to automate repetitive engineering work using LLMs and AI tooling, including pipeline scaffolding, boilerplate generation, data transformation logic, and documentation

Who You Are and What You Bring:

• 6+ years working with data in production environments

• Proven ability to lead a small team (up to 3 engineers)

• Track record of building automated ETL workflows using Python and dbt SQL

• Hands-on proficiency with modern data technologies and comfort leveraging AI coding assistants to accelerate development, improve code quality, and enhance productivity

• Strong skills in data processing, validation, cleaning, and debugging across complex datasets

• Demonstrated success building production-grade dbt pipelines (macros, incremental and Python models, and testing)

• Deep, demonstrable understanding of healthcare and healthcare claims data

• Comfort working with large-scale datasets (10GB+)

• Excellent verbal and written communication skills

• Demonstrated hands-on experience building software with AI coding tools - not just autocomplete, but directing AI agents to generate complete solutions and applying disciplined review and ownership of the output
  
  
• A genuine conviction that AI-augmented development is the future of software engineering, paired with the judgment to validate, test, and take accountability for AI-generated code
  
  
• Experience or strong interest in integrating LLMs into engineering workflows beyond development assistance - such as automating data quality checks, generating pipeline logic, or surfacing anomalies

Nice to Have:

• Familiarity with AWS services such as S3, DynamoDB, Batch, and Step Functions

• Hands-on knowledge of Snowflake

• Strong data modeling skills for reporting and business intelligence solutions

Remote Work Requirements:

• An established private work area that ensures information privacy
• A stable high-speed internet connection for remote work
• This role is remote, but you will be required to come to on-site meetings multiple times per year. This may be in the interview process, onboarding, and team meetings

Perks:

Joining Arine offers you a dynamic role and the opportunity to contribute to the company's growth and shape its future. You'll have unparalleled learning and growth prospects, collaborating closely with experienced Clinicians, Engineers, Software Architects, and Digital Health Entrepreneurs.

The posted range represents the expected salary for this position and does not include any other potential components of the compensation package (including bonus and equity), benefits, and perks. Ultimately, the final pay decision will consider factors such as your experience, job level, location, and other relevant job-related criteria. The salary range for this position is: $150,000-170,000/year.

Job Requirements:

• Ability to pass a background check
• Must live in and be eligible to work in the United States

Information Security Roles and Responsibilities:

All staff at Arine are expected to be part of its Information Security Management Program and undergo periodic training on Information Security Awareness and HIPAA guidelines. Each user is responsible to maintain a secure working environment and follow all policies and procedures. Upon hire, each person is assigned and must complete trainings before access is granted for their specific role within Arine.

Arine is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace where all employees are treated with fairness and respect. We do not discriminate on the basis of race, ethnicity, color, religion, gender, sexual orientation, age, disability, or any other legally protected status. Our hiring decisions and employment practices are based solely on qualifications, merit, and business needs. We encourage individuals from all backgrounds to apply and join us in our mission.

Check our website at https://www.arine.io. This is a unique opportunity to join a growing start-up revolutionizing the healthcare industry!

Job Offers: Arine uses the arine.io domain and email addresses for all official communications. If you received communication from any other domain, please consider it spam.

Note to Recruitment Agencies: We appreciate your interest in finding talent for Arine, but please be advised that we do not accept unsolicited resumes from recruitment agencies. All resumes submitted to Arine without a prior written agreement in place will be considered property of Arine, and no fee will be paid in the event of a hire. Thank you for your understanding.