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.

Arine is committed to improving the lives and health of complex patients that have an outsized impact on healthcare costs. We deliver recommendations and facilitate clinical interventions that lead to measurable health improvements for patients and cost savings for customers.

Why Arine is a Great Place to Work: Outstanding Team and Culture, Making a Proven Difference in Healthcare, Market Opportunity, and Dramatic Growth. Arine is backed by leading healthcare investors and has achieved notable milestones in its early years.

As a key technical leader and team architect 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, and you will build reusable, configurable tools for data needs across the company.

• Act as the team architect by leading system design reviews, offering recommendations, conducting 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 infrastructure
• Refactor and rebuild existing data ingestion processes to improve scalability and operational efficiency
• Work with containerization technologies (Docker, Kubernetes) to create portable and maintainable data solutions
• Identify and escalate inefficiencies within and across teams
• Provide technical guidance and mentorship to junior engineers, and promote best practices and coding standards
• Author and maintain high-quality technical documentation, and support junior engineers in doing the same
• Collaborate with the DE Manager to report on DE contractor performance issues

• 10+ years working in data engineering, with a focus on large-scale data ingestion and infrastructure
• Deep expertise in Python and modern data engineering tools
• A track record of building automated, production-grade ETL processes using Python and dbt SQL
• Strong understanding of ETL/ELT frameworks and distributed data processing
• Hands-on proficiency with modern data technologies and comfort leveraging AI coding assistants to accelerate development, improve code quality, and enhance productivity
• Skilled in data processing, validation, cleaning, and debugging
• Strong capability integrating APIs for seamless data exchange between systems
• Proven ability to handle and process varied file types and formats, including healthcare standards such as HL7, 834, 837, and NCPDP
• Demonstrated success integrating and consolidating data from diverse source systems into a unified repository, including EHR and claims systems, via both file-based and API integrations
• Comfort working with large-scale datasets (10GB+)
• Strong capability implementing incremental processing and change data capture (CDC) methodologies
• Extensive background designing scalable data architectures in AWS environments
• Solid grounding in software engineering principles, including test-driven development, loose coupling, single responsibility, and modular design
• Hands-on familiarity with containerization (Docker, Kubernetes) and building configuration-driven, maintainable systems
• Proven ability to build tools and systems that diverse engineering profiles can operate through configuration rather than code changes
• A passion for building new data infrastructure and continuously improving existing systems with robustness, maintainability, and operational excellence
• Familiarity with healthcare data and regulatory environments (HIPAA) as a plus
• Strong collaboration skills, with comfort partnering across technical and non-technical stakeholders
• Excellent written and verbal communication, with the ability to explain technical infrastructure concepts to diverse audiences

• 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

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: $170,000-185,000/year.

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

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.