RightMove Health

Compensation

Full Description

About RightMove RightMove is redefining how value-based musculoskeletal (MSK) care is delivered. Built in partnership with the Hospital for Special Surgery (HSS)—the world leader in MSK health trusted by elite athletes—we’re creating a new standard of coordinated, expert-led care that gets people moving better and faster. We partner with PCPs, Orthopedic specialists, and health plans to deliver high-value, patient-centered MSK care. Our value-based care model includes patient engagement, virtual physical therapy, and care navigation to high-value imaging and specialty partners. Our Mission & Values We’re a high-performing team driven by one mission: to free people to move and thrive. At RightMove, we move fast, collaborate deeply, and deliver with precision. We’re a startup with enterprise-grade rigor—where talented operators, engineers and clinicians challenge conventions to improve patient outcomes. We live our values every day: Perform to Win – We bring our best to deliver measurable results, valuing impact over optics. Be Direct with Respect – We communicate clearly, with honesty and care. Move as One Team – We win together, across roles and functions. Act with Agency – Our teams have high trust and high accountability, with the freedom to own and responsibility to deliver. Choose Optimism – We bring energy and perspective, even when the work is hard. Your Role The Senior Data Engineer will report to the COO and the Head of Data & Analytics and serve as both a strategic leader and a hands-on technical expert. You will join our small, but high-impact tech team to build scalable data pipelines, optimize our modern data stack and deliver reliable data products to internal stakeholders and external partners. This is a role that lives in both data engineering and analytics engineering worlds. Analytics Engineering – You are a master analytics data modeler and have at least 3 years using DBT (Core or Cloud) and have comfort with advanced DBT functionality. Skilled Python developer – you have experience with design and implementation of full-stack data applications. You are able to help implement and promote best practices in Python development. Additional responsibilities include: Designing, building and maintaining scalable data pipelines using AWS (S3, Lambda, Step Functions, Transfer Family, IAM, CDK) Building and integrating APIs to pull and update data Building and owning DBT models Improving Snowflake queries and infrastructure Ensuring data quality, observability and documentation are embedded in every process Collaborating with the Product Owner and Payor Data SME to prioritize and deliver roadmap initiatives Partnering cross-functionally to understand data needs and define scalable solutions Managing project timelines, resourcing and delivery milestones Overseeing data security best practices, including HIPAA-compliant architecture Ensuring data access governance, monitoring, and secure operations in AWS and Snowflake In the first 12 months you can expect to: Build EMR data integrations Build DBT data models Build robust data pipelines / ETL Ensure the successful implementation of all new payors going live in 2026 Collaborate with the Product Owner and CDAO to align data engineering priorities with business objectives Translate roadmap initiatives into technical deliverables with clear milestones and capacity planning Partner with stakeholders to identify new data products or features that support value-based care initiatives Drive initiatives that position the data platform to scale with company growth Evaluate and enhance current data pipelines in AWS (S3, Lambda, Step Functions, Transfer Family, IAM, CDK) for scalability and performance Help built RightMove ML/AI architecture and predictive models About You 5+ years of experience in data engineering Deep expertise with AWS services (CDK, S3, Lambda, Step Functions, Transfer Family) Strong experience with Snowflake and DBT Hands-on proficiency in Python and SQL Proven ability to lead both technical projects and people Experience working in a startup or high-growth environment is a strong plus Deep experience with healthcare or payor data Experience with Snowflake environment and structures Working knowledge of business intelligence/reporting tools, experience analyzing data, writing queries, and building ad-hoc reports Knowledge of modern database design and emerging data technologies Familiarity with emerging data analytic concepts and technologies Comfortable working in a matrixed reporting structure and operating with ambiguity Preferred Experience Experience with our platform tools: AWS, and Sigma Experience with Heath Plan Payor Data Experience with EMR data Experience with HIE data Experience with ML/LLMs/AI