Data Engineering Lead

Overview 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 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. 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 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 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 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 salary range represents the expected compensation for this position and may include bonus and equity components. The final pay decision will consider factors such as 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 and Equal Opportunity 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. J-18808-Ljbffr