Senior Data Engineer (Remote; East Coast Preference)

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