Senior Data Engineer (Remote; East Coast Preference)

RightMove Health

10d•Remote

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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
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