Staff Data Engineer - Data Operations

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:

This position offers a fast-paced environment with a strong team of diverse engineers that are central in building Arine's data operations infrastructure. You will have the opportunity to have a direct impact on the scalable ingestion and operational architecture that supports our internal data platform. Working alongside our analytics engineers who focus on dbt transformations, you will own the critical "EL" (Extract-Load) infrastructure that feeds our medallion architecture, ensuring raw data flows seamlessly from our platform sources into our staging layer where analytics engineers can build robust dbt models for our data science, machine learning/AI, and reporting teams.

Are You a Good Fit?

The Senior Data Engineer will be responsible for architecting, building, and maintaining scalable data ingestion infrastructure and operational systems that support our medallion architecture (staging → intermediate → marts). This role focuses primarily on the "EL" (Extract-Load) portion of our ELT stack, working closely with analytics engineers who own the dbt transformation layer. You will be responsible for building robust, configuration-driven systems and event-driven processes that scale effectively to handle large enterprise datasets. This position requires expertise in scalable, incremental data migration from sources like RDS and DynamoDB into Snowflake, using tools like Kinesis, Airbyte, or other open-source solutions. You must be comfortable with containerization and building maintainable, configuration-driven toolsets that diverse engineering profiles can utilize effectively.

What You'll be Doing:

• Architecting and implementing scalable data ingestion infrastructure from platform sources (RDS, DynamoDB) into Snowflake
• Building event-driven data pipelines using tools like Kinesis, Airbyte, or other open-source ingestion frameworks that scale effectively
• Designing systems that support our medallion architecture and enable smooth data flow into the staging layer
• Creating configuration-driven, containerized toolsets that can be easily used and maintained by diverse engineering profiles
• Collaborating with analytics engineers to ensure smooth data flow into the staging layer for dbt transformations
• Implementing incremental data migration strategies for large-scale healthcare datasets
• Building monitoring and alerting systems for data ingestion processes and pipeline health
• Applying software engineering best practices including test-driven development and modular design to data infrastructure
• Refactoring and rebuilding existing data ingestion processes to improve scalability and operational efficiency
• Working with containerization technologies (Docker, Kubernetes) to create portable and maintainable data solutions
• Supporting the migration to our staging → intermediate → marts medallion structure
• Mentoring team members on data operations best practices and infrastructure design patterns

Who You Are and What You Bring:

• 6+ years of professional experience in data engineering with focus on large-scale data ingestion and infrastructure
• Strong experience with scalable data ingestion tools such as Kinesis, Airbyte, Kafka, or similar open-source solutions
• Proven experience building event-driven ETL/ELT systems that move large datasets from operational databases (RDS, DynamoDB) to data warehouses (Snowflake)
• Deep understanding of software engineering principles including test-driven development, loose coupling, single responsibility, and modular design
• Experience with containerization technologies (Docker, Kubernetes) and building configuration-driven, maintainable systems
• Understanding of medallion/layered data architecture patterns and experience supporting analytics engineering workflows
• Experience with incremental data processing and change data capture (CDC) methodologies
• Hands-on experience with cloud data infrastructure, particularly AWS services (S3, Kinesis, Lambda, Step Functions, RDS, DynamoDB)
• Proven ability to build tools and systems that can be operated by diverse engineering profiles through configuration rather than code changes
• Experience working with large healthcare datasets and understanding of data privacy and compliance requirements
• Demonstrated ability to refactor and improve existing data infrastructure for better scalability and operational efficiency
• Strong collaboration skills working with analytics engineers, data scientists, and ML engineers
• Excellent verbal and written communication skills with ability to explain technical infrastructure concepts to diverse audiences
• Passion for building robust, maintainable, and operationally excellent data systems

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, Data Scientists, and Digital Health Entrepreneurs.

The posted range represents the expected base salary for this position and does not include any other potential components of the compensation package, 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 base salary range for this position is: $165,000-180,000/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.