Staff Data Engineer, Individual Contributor – Data & Machine Learning

🔥 0 minutes ago

🌵 Arizona, Colorado, +21 more states – Remote

🌵 Arizona – Remote ⛰️ Colorado – Remote 🐊 Florida – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🌪️ Kansas – Remote 🗻 New Hampshire – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🌲 Oregon – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ⚔️ Virginia – Remote ☕ Washington – Remote 🧀 Wisconsin – Remote

💵 $180k - $200k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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MedBridge

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

⚕️ Healthcare Insurance

📚 Education

💰 Venture Round on 2021-01

Healthcare • Healthcare Insurance • Education

MedBridge is a healthcare education and patient care software company that provides innovative solutions for healthcare professionals to enhance patient care and practice efficiently. Offering a rich library of evidence-based online continuing education courses, customizable home exercise programs, and digital care tools, MedBridge supports various disciplines including physical therapy, occupational therapy, speech-language pathology, and nursing among others. The platform is trusted by over 350,000 healthcare providers and aims to bridge the gap between patient and provider with its comprehensive resources and expert-driven content aimed at improving healthcare outcomes.

📋 Description

• Own the target-state architecture and technical roadmap for Medbridge’s Snowflake-centered data platform • Balance security, reliability, usability, innovation, cost, and operational complexity • Build and operate reliable data pipelines and integrations across operational and SaaS data sources • Design and enforce Snowflake security and RBAC using least privilege, separation of duties, auditability, secure sharing, retention, monitoring, and appropriate access patterns • Establish production-grade engineering and platform operations, including testing, version control, code review, CI/CD, secrets management, environment promotion, deployment, rollback, monitoring, alerting, incident response, and recovery • Own data governance, contracts, and technical lineage • Maintain source-system ownership and inventory, data contracts, schemas, interfaces, quality expectations, change management, deprecations, migrations, documentation, and downstream-impact communication • Create reusable patterns and interfaces to deliver data from Snowflake into applications, APIs, analytics, ML/AI workloads, and customer-facing products • Make data easier to discover, understand, access, and trust • Lead cross-functional technical initiatives with Analytics Engineering, DevOps, Data Science, Security, Product Engineering, ML, and Integrations • Establish pragmatic patterns, enable AI/ML workloads, evaluate build-versus-buy decisions, and reduce unnecessary platform complexity • Lead through influence rather than direct people management

🎯 Requirements

• Deep experience designing and operating cloud data platforms, including ingestion, orchestration, warehouse architecture, security, reliability, and production operations in regulated environments • 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 experience building and operating batch and incremental data pipelines with failure handling, retries, reconciliation, observability, recovery, and clear ownership • Strong Python and SQL engineering skills • Experience with modular design, testing, version control, code review, packaging, CI/CD, and maintainable interfaces • Experience operating production data systems across development, staging, and production workflows • Experience with deployment practices and partnership with DevOps or platform engineering • Experience delivering data to applications, APIs, ML systems, reverse-ETL, or other operational consumers • Experience with data contracts covering ownership, quality, compatibility, schema evolution, deprecation, and breaking-change communication • Experience partnering with Security, Privacy, or Legal on sensitive or regulated data • Ability to make pragmatic build-versus-buy and managed-service decisions • Strong technical communication and cross-functional leadership skills • Ability to lead complex initiatives, establish standards, and influence without formal authority • Self-directed, low-ego approach to engineering • A technical or quantitative degree, or equivalent capability demonstrated through professional experience • Healthcare experience is a plus, not a requirement • Preferred: advanced Snowflake security experience • Preferred: experience building data-to-product capabilities • Preferred: experience enabling ML/AI workloads in Snowflake • Preferred: experience modernizing developing data environments with Openflow, dbt, Terraform, data catalogs, observability platforms, or healthcare interoperability/EHR/EMR ecosystems

🏖️ Benefits

• Mission-driven work helping patients get better faster • Opportunity to impact millions of patients through products used by 300,000+ clinicians • Equal opportunity employment