Staff Data Engineer, Individual Contributor | Data & Machine Learning

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.

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.

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.

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 @ medbridge.com .