Analytics Engineer - Remote Eligible

Analytics Engineer

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 cost 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.

The Role

The Analytics Engineer role will report to the Director of Data Services and work within the Analytics team alongside our data operations engineers. This position offers an excellent opportunity to develop your analytics engineering skills while working within our medallion architecture to build data transformations that power business intelligence solutions. You will collaborate closely with senior analytics engineers to translate business needs into technical specifications and deliver high-quality data products.

As an Analytics Engineer, you will work within the intermediate and marts layers of our data platform, building on the solid foundation provided by our data operations team's staging layer. This role provides clear growth opportunities toward more senior analytics responsibilities while contributing to data-driven decision making across the organization.

What You'll Be Doing

• Build and maintain dbt data models within our medallion architecture, transforming staging data into intermediate and mart layers for business consumption
• Develop dashboards and reports using QuickSight and other BI tools to present healthcare data in clear, actionable formats for stakeholders
• Collaborate with product teams and Customer Solutions Architects to understand requirements and translate business needs into data model specifications
• Write production-quality SQL transformations in Snowflake, following established patterns and best practices for data modeling
• Implement data validation and testing using dbt tests and other quality assurance frameworks to ensure data accuracy and completeness
• Support metric standardization by contributing to our single source of truth for organizational KPIs and healthcare outcome measurements
• Work closely with data operations engineers to optimize data flows from staging through marts layers and provide feedback on staging layer requirements
• Create technical documentation for data models, transformations, and analytics solutions to support team knowledge sharing
• Assist in user support and training for analytics tools and help stakeholders understand and effectively use data products
• Process and analyze healthcare datasets including claims data, clinical outcomes, and medication management metrics while maintaining HIPAA compliance

Who You Are and What You Bring

• 2-4 years of experience in analytics engineering, business intelligence development, or data analysis roles
• Strong SQL skills with experience in data warehousing platforms, preferably Snowflake
• Experience with dbt or similar transformation frameworks for building data models and pipelines
• Proficiency with BI tools such as QuickSight, Tableau, Power BI, or similar visualization platforms
• Understanding of data modeling concepts including dimensional modeling, fact/dimension tables, and analytics layer design
• Experience with version control (Git) and collaborative development workflows
• Python programming skills for data processing, automation, and integration tasks
• Familiarity with cloud data platforms and AWS services, particularly those supporting analytics workloads
• Healthcare data exposure or strong interest in learning healthcare analytics, claims data, and clinical outcomes
• Strong analytical and problem-solving abilities with attention to data quality and validation
• Excellent communication skills and ability to translate technical concepts for non-technical stakeholders

Preferred Qualifications:

• Experience with medallion architecture or layered data platform design (staging → intermediate → marts)
• Background in healthcare analytics with understanding of claims data, clinical datasets, or population health metrics
• Advanced dbt experience including macros, packages, and performance optimization techniques
• AWS analytics services experience including S3, Lambda, Step Functions, or QuickSight administration
• Agile development experience and familiarity with sprint-based delivery and stakeholder collaboration
• Data visualization design skills with focus on user experience and actionable insights
• Understanding of healthcare compliance including HIPAA requirements and data privacy standards
• Cross-functional collaboration experience working with clinical, product, and customer success teams

Technical Skills:

Analytics Platforms: Snowflake, dbt, QuickSight, AWS analytics services

Programming: SQL (advanced), Python, basic shell scripting

Data Modeling: Dimensional modeling, fact/dimension design, metrics frameworks

Development: Git, dbt testing frameworks, CI/CD for analytics workflows

Healthcare Data: Claims data analysis, clinical outcomes, medication management metrics

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, Data Scientists, Software Architects, 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: $110,000-135,000/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.