Join the team shaping the future of healthcare! Medbridge is a dynamic software company working with the country’s largest healthcare providers to build technology solutions that help patients get better faster while decreasing the overall cost of care. The Data & Machine Learning team is building a secure, reliable data foundation that will power better decisions, intelligent product experiences, and improved care for millions of patients.
We hire in the following states: AZ, CO, FL, GA, ID, IL, KS, MA, MI, MN, MO, NH, NY, NC, OH, OR, PA, SC, TN, TX, UT, VA, WA, and WI.
Why work at Medbridge?
- We are mission driven. Our mission is clear—we want to help everyone move well, feel well, and live well.
- You’ll make an impact here. 300,000+ clinicians use our products daily, impacting millions of patients. The content you create helps them stay informed and deliver better care.
- Our customers love Medbridge! We work with 9 of the top 10 private practice and hospital systems nationwide, and 6 of the top 10 home health organizations.
The Staff Data Engineer is the senior individual contributor responsible for Medbridge’s data-platform architecture, security, reliability, and data movement. This is a hands-on role for someone who can simplify a developing environment while introducing the engineering rigor required for internal analytics, secure external use, AI workloads, and data-powered product experiences. Success means creating a simpler, more reliable experience for data producers and consumers, not merely moving complexity into new tools. The role partners closely with Analytics Engineering, DevOps, Data Science, Security, Product Engineering, ML, and the Integrations team, leading through influence rather than direct people management.
In this role you will:
- Own the target-state architecture and technical roadmap for Medbridge’s Snowflake-centered data platform, balancing security, reliability, usability, innovation, cost, and operational complexity.
- Build and operate reliable data pipelines and integrations using strong Python and SQL engineering practices, covering ingestion, incremental processing, schema evolution, failure handling, retries, reconciliation, observability, and recovery across key operational and SaaS data sources.
- Design and enforce Snowflake security and RBAC, applying least privilege, separation of duties, auditability, secure sharing, retention, monitoring, and appropriate access patterns for internal users, external use cases, service accounts, and AI workloads.
- Establish production-grade engineering and platform operations, including testing, version control, code review, CI/CD, secrets management, environment promotion, deployment and rollback, service expectations, monitoring, alerting, incident response, and recovery.
- Own data governance, contracts, and technical lineage, maintaining source-system ownership and inventory while establishing data contracts, schemas, interfaces, quality expectations, change management, deprecations, migrations, documentation, and clear communication of downstream impact.
- Enable secure and reliable data delivery and consumption, creating reusable patterns and interfaces that move data from Snowflake into applications, APIs, analytics, ML/AI workloads, and customer-facing products while making data easier to discover, understand, access, and trust.
- Lead cross-functional technical initiatives and raise engineering standards, partnering with Analytics Engineering, DevOps, Data Science, Security, Product Engineering, ML, and Integrations to establish pragmatic patterns, enable AI/ML workloads, evaluate build-versus-buy decisions, and continuously reduce unnecessary platform complexity.
What will make you succeed:
- Deep experience designing and operating cloud data platforms, including ingestion, orchestration, warehouse architecture, security, reliability, and production operations in regulated environments; healthcare experience is a plus, not a requirement.
- Strong Snowflake expertise, including RBAC, contractual data separation, secure internal and external access patterns, secure views and sharing, warehouse and resource management, query and cost optimization, metadata, monitoring, and environment design.
- Proven data pipeline expertise, building and operating batch and incremental pipelines with explicit failure handling, retries, reconciliation, observability, recovery, and clear ownership.
- Strong Python and SQL engineering skills, with experience in modular design, testing, version control, code review, packaging, CI/CD, and maintainable interfaces.
- Experience operating production data systems, including development, staging, and production workflows, deployment practices, and effective partnership with DevOps or platform engineering.
- Experience delivering data beyond the warehouse, including applications, APIs, ML systems, reverse-ETL, or other operational consumers, with strong data contracts covering ownership, quality, compatibility, schema evolution, deprecation, and breaking-change communication.
- Sound security and architectural judgment, including experience partnering with Security, Privacy, or Legal on sensitive or regulated data and making pragmatic build-versus-buy and managed-service decisions.
- Strong technical communication and cross-functional leadership, with the ability to explain architecture, risks, incidents, and tradeoffs clearly; lead complex initiatives; establish standards; and influence without formal authority.
- A self-directed, low-ego approach to engineering, favoring simple, supportable solutions, shared understanding, and a strong developer and data-consumer experience over unnecessary complexity.
- A technical or quantitative degree, or equivalent capability demonstrated through professional experience.
Preferred:
- Advanced Snowflake security experience, including secure access for employees, external customers or partners, and AI or service workloads.
- Experience building data-to-product capabilities, including warehouse-to-product or reverse-data flows and collaboration with application engineers on customer-facing data products.
- Experience enabling ML/AI workloads in Snowflake, including Snowpark, Model Registry, ML Jobs, compute pools, containerized workloads, or comparable managed capabilities.
- Experience modernizing developing data environments, with exposure to Openflow, dbt, Terraform, data catalogs, observability platforms, or healthcare interoperability/EHR/EMR ecosystems, while introducing operational rigor without over-engineering.
Our Values:
Excellence: A job worth doing is a job worth doing RIGHT.
- We believe that excellence is never an accident. It’s the result of high intention, sincere effort, and intelligent execution.
- We are change-makers who push the boundaries of what is possible, continually reimagining patient care.
- We realize that our work impacts people’s health and demands that we hold ourselves to the highest possible standards.
- We know a good thing when we see it; when exceptional talent comes our way, we hire them and help them grow.
- We understand the value of time, and we give our best effort every day because we have a day in which to give it.
Fortitude: Our goals are big. Our dedication is bigger.
- We embrace ambitious and challenging projects with confidence in our ability to achieve them together.
- We are courageous as we venture into the unknown.
- We persevere in the face of difficulties.
- We do not let perfection be the enemy of progress; we focus on taking the next best step forward.
- We take ownership of our mistakes and of our successes, and we learn from both.
Service: We work for something more important than ourselves.
- We care deeply about our colleagues, customers, and patients, ensuring our work at Medbridge has a lasting impact.
- We take a multi-disciplinary, data-oriented approach to solving problems.
- We lead with confidence and humility, embracing a servant-leadership mindset as we support and challenge one another to reach our shared goals.
- We know that if we do great work, we help people live healthier lives.
Salary Range: $180,000 - $200,000
At Medbridge, salary ranges are assigned to a job based on 3rd party salary benchmark surveys. Individual pay within this range is informed by the candidate’s skills, capabilities, and experience.
We embrace diversity and are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. No matter your background, your orientation, your identity expression, or whatever else makes you unique, if you want to raise the bar and join an amazing team of passionate people, then we’d love to work alongside you at Medbridge.
Take the Next Step
If you’re excited about this opportunity and think Medbridge is the right fit for your career, apply now! Our Talent Acquisition team will follow up with you shortly.
Please note: Due to reports of phishing, we’re requesting that all Medbridge applicants apply through our official careers page at https://www.medbridge.com/careers. All official communication from Medbridge will come from email addresses ending with @.