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