Over $200M raised, investors include Khosla Ventures
Stack
SQL, Python, dbt, Airflow
The posting, condensed
Analytics Engineer building scalable data products for healthcare PBM and care navigation using dbt, SQL, and Python. Works with Analytics Platform team on data modeling, warehousing, and enabling self-service analytics across cloud data warehouses.
We are seeking an Analytics Engineer to join our Analytics Platform team to design, build and maintain scalable data products that power our Pharmacy Benefit Management (PBM) and Care Navigation organizations. In this role, you will be responsible for transforming complex healthcare data into trusted, analytics ready datasets that support operational reporting, client insights, financial analysis and strategic decision-making. You will partner closely with Analytics, Data Engineering, Clinical, Client Success, Product and Operations teams to build reliable and scalable data models within our data foundry.
This role is ideal for someone who is passionate about analytics engineering, has strong dbt expertise, enjoys solving complex healthcare data challenges and thinks beyond individual requests to build reusable and maintainable systems.
You will play a key role in shaping the future of our data platform by developing high-quality data products, establishing engineering best practices, and helping the organization evolve toward AI-enabled and self-service analytics capabilities.
WHAT YOU’LL DO:
Apply hands on analytics and data expertise to solve complex, fast moving financial and operational problems in the health tech space
Design, develop and maintain scalable, analytics ready data models (primarily in dbt) that power a PBM and care navigation data ecosystem that support client reporting, performance analytics, operational analysis and self-service business intelligence.
Translate complex pharmacy benefits and healthcare navigation workflows, business rules and operational processes into transparent, maintainable, and auditable data models.
Partner closely with data and analytics engineers, data analysts and business stakeholders to deliver reliable data products that can be leveraged across multiple use cases and continuously optimize data models and warehouse performance to support large-scale PBM/care navigation datasets and growing business needs.
Implement automated data quality checks, testing frameworks and reconciliation processes to ensure data reliability.
Establish documentation standards, lineage and analytics engineering guardrails that promote transparency and auditability.
Contribute to engineering best practices including version control, CI/CD, incremental models, code reviews, and observability.
Contribute to data governance by establishing modeling standards, documentation and guardrails that support auditability, explainability and long term maintainability.
Build data foundations that enable future agentic analytics engineering use cases, including self-service analytics and AI-assisted insight generation.
Stay informed on emerging technologies and identify opportunities to incorporate AI into analytics engineering workflows.
WHO YOU ARE:
3+ years of experience in analytics engineering, data modeling, data warehousing or a related field.
Strong experience with dbt (core or cloud) and modern analytics engineering best practices (required).
Advanced SQL proficiency and experience developing data transformations and workflows using python.
Strong understanding of dimensional modeling, medallion architecture, semantic modeling and scalable data architecture principles.
Experience building and maintaining production-grade data models, data quality tests, and documentation.
Experience working with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery.
Experience orchestrating and monitoring data pipelines using tools such as Apache Airflow., Dagster etc.
Experience working within cloud environments, preferably AWS.
Familiarity with software engineering practices including Git, CI/CD, pull request reviews, testing, and deployment workflows.
Interest or experience in leveraging AI-enabled development workflows and analytics tooling, including experience with or willingness to learn technologies such as claude, claude skills, Model Context Protocol (MCP) and AI assisted engineering practices.
Strong problem-solving and analytical skills with a focus on building scalable, maintainable data solutions.
Effective communication skills and the ability to collaborate with both technical and non-technical
COMPENSATION: $120,000 - $150,000 annually, in addition to bonus and equity
Compensation offered will be determined by geographic location, experience, and qualifications.
CYBERSECURITY AWARENESS NOTICE
In response to ongoing and industry-wide fraudulent recruitment activities (i.e., job scams), Rightway wants to inform potential candidates that we will only contact them from the @rightwayhealthcare.com email domain. We will never ask for bank details or deposits of any kind as a condition of employment.
ABOUT RIGHTWAY:
Rightway is on a mission to harmonize healthcare for everyone, everywhere. Our products guide patients to the best care and medications by inserting clinicians and pharmacists into a patient’s care journey through a modern, mobile app. Rightway is a front door to healthcare, giving patients the tools they need along with on-demand access to Rightway health guides, human experts that answer their questions and manage the frustrating parts of healthcare for them.
Since its founding in 2017, Rightway has raised over $300mm from investors including Khosla Ventures, Thrive Capital, Francisco Partners, and Tiger Global. We’re headquartered in New York City, with satellite offices in Denver and Dallas. Our clients rely on us to transform the healthcare experience, improve outcomes for their teams, and decrease their healthcare costs.
HOW WE LIVE OUR VALUES TO OUR TEAMMATES:
We’re seeking those with passion for healthcare and relentless devotion to our goal. We need team members that embody our core values:
1) We are human, first Our humanity binds us together. We bring the same empathetic approach to every individual we engage with, whether it be our members, our clients, or each other. We are all worthy of respect and understanding and we engage in our interactions with care and intention. We honor our stories. We listen to—and hear—each other, we celebrate our differences and similarities, we are present for each other, and we strive for mutual understanding.
2) We redefine what is possible We always look beyond the obstacles in front of us to imagine new solutions. We approach our work with inspiration from other industries, other leaders, and other challenges. We use ingenuity and resourcefulness when faced with tough problems.
3) We debate then commit We believe that a spirit of open discourse is part of a healthy culture. We understand and appreciate different perspectives and we challenge our assumptions. When working toward a decision or a new solution, we actively listen to one another, approach it with a “yes, and” mentality, and assume positive intent. Once a decision is made, we align and champion it as one team.
4) We cultivate grit Changing healthcare doesn’t happen overnight. We reflect and learn from challenges and approach the future with a determination to strive for better. In the face of daunting situations, we value persistence. We embrace failure as a stepping stone to future success. On this journey, we seek to act with guts, resilience, initiative, and tenacity.
5) We seek to delight Healthcare is complicated and personal. We work tirelessly to meet the goals of our clients while also delivering the best experience to our members. We recognize that no matter the role or team, we each play a crucial part in our members’ care and take that responsibility seriously. When faced with an obstacle, we are kind, respectful, and solution-oriented in our approach. We hold ourselves accountable to our clients and our members’ success.
Rightway is proud to be an Equal Opportunity Employer that believes in the strength of diverse thought, beliefs, backgrounds, and education. We foster an inclusive culture where differences are celebrated to drive the best business decisions possible. We do not discriminate on any basis protected by applicable law. All employment decisions are based on merit, qualifications, need, and performance.
