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Senior Data Engineer

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🔥 0 minutes ago

🇺🇸 United States – Remote

đź’µ $180k - $190k / year

⏰ Full Time

đźź  Senior

đźš° Data Engineer

đź‘» Ghost score 0%

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Logo of Diverge Health

Diverge Health

51 - 200 employees

🏥 Healthcare

⚕️ Healthcare Insurance

🌍 Social Impact

Healthcare • Healthcare Insurance • Social Impact

Diverge Health is a company dedicated to empowering primary care practices to deliver the highest quality care to underserved patients. The company provides infrastructure support to primary care providers, including highly trained community health teams, administrative aids, and technology solutions for local population health management. Diverge Health aims to enhance healthcare outcomes and assist practices in transitioning to value-based payment models. The company grew its foundation by acquiring the intellectual property of City Health Works, focusing on deploying trusted community health workers to assist patients in effectively managing care and reducing complications. Diverge Health plays a pivotal role in improving primary care delivery, patient health literacy, and providing better financial performance and provider satisfaction for payors.

đź“‹ Description

• Own the health, reliability, and architectural direction of the data pipeline relied on by care teams, provider partners, and analytics functions • Build and maintain pipelines and warehouse structures, with primary responsibility for payer data flowing into Diverge Health • Maintain the data pipeline, focusing on the health and timeliness of payer data • Ingest and standardize new member rosters and claims data from payers, building models to interpret payer structures and combine data into a consistent view • Make architectural decisions regarding database, schema design, and Snowflake environment structure while balancing performance, cost, and scalability • Administer Snowflake infrastructure, including provisioning, account and user creation, and access and role management • Stand up and support Snowflake as a service for teams across the business, including application development • Oversee the Git environment, including repository and permissions management, setup, and governance • Develop and maintain data pipelines from file receipt through processing, ensuring reliability, graceful failure handling, monitoring, and alerting • Participate in the team's circulating support rotation and respond to issues during business hours • Support iterative definitional work with stakeholders by building and running proposed definitions against data and presenting impacts • Lead a team or project independently, providing technical guidance and mentorship • Partner with Finance, Payer Account Management, and other teams to understand data needs, align definitions, and explain technical concepts and tradeoffs • Evaluate process improvements and implement solutions to streamline development and improve pipeline performance

🎯 Requirements

• 10+ years of professional data engineering experience, with a track record of independently owning production data pipelines • Healthcare industry experience, including hands-on work with claims data, membership data, and healthcare data transformation • Demonstrated hands-on expertise with Dagster as a primary orchestration tool • Expert-level proficiency in Python • Extensive hands-on experience with Snowflake, including schema design, performance optimization, and environment structure decisions • Snowflake administration experience, including provisioning, account and user creation, access and role management, and supporting Snowflake as a service for other teams • Strong SQL skills and broad data warehousing fundamentals beyond any single platform • Git administration experience, including repository and permissions management, setup, and governance • Demonstrated ability to lead and mentor other engineers, serving as a technical resource for the team • Comfort operating where definitions do not yet exist, with the judgment to establish them in partnership with the business rather than waiting for an existing answer • Strong communication skills, with the ability to explain technical concepts clearly to non-technical audiences • Proven ability to balance competing priorities and follow work through to completion in a dynamic, fast-paced environment • Preferred: Bachelor's degree, or equivalent experience, in computer science, engineering, or a related technical field • Preferred: Salesforce development experience • Preferred: Proficiency with VS Code or comparable development tooling • Preferred: Experience incorporating AI coding assistants, such as Claude, ChatGPT, or Copilot, into a professional development workflow • Candidates must be authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

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