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ABOUT THE ROLE

We are looking for a mission-driven Senior Data Engineer to join our early team at a critical and exciting time for the company. In this position, you will play a pivotal role in building out Hopscotch Health’s data and analytics platform and data team. You will have an opportunity to own end-to-end execution of data products and initiatives that directly impact the care delivery process. You will be part of a skilled, passionate, and collaborative team committed to working together to realize Hopscotch Health’s ambitious and important vision.

RESPONSIBILITIES

Near-term focus areas for this role will include, but are not limited to:

• Build out and maintenance of the data infrastructure that supports end-user workflows, 3rd party integrations, and analytics needs
• Support integration of new data (e.g. HIE, ADT feeds) as needed to enhance quality and breadth of information available to clinical care teams
• Build out and maintenance of data pipelines that drive actionable intelligence
• Requirements scoping and documentation with key stakeholders to continually improve the design of data products across the company
• Monitor and maintain data pipeline health from ingest to final data products
• Contribute to our organizational ontology (i.e. data modeling)
• Collaborate with product teams to design and build out the backing data and infrastructure for organizational workflows
• Generate analytic insights, build backend KPIs and other metrics to help provide visibility into company performance towards critical goals

ABOUT YOU:

You would be a great fit for this position if you have 4+ years of experience in data engineering, preferably in healthcare services, and you are:

• Knowledgeable about healthcare, preferably in the services/provider sector
• Results-driven and focus time/resources against the most important priorities
• Creative in finding solutions to arrive at mutually beneficial outcomes
• Strategic and can bring a structured, proactive approach to get things done
• Can quickly develop insights from data, and translate findings into action
• Demonstrate first-principles approach to understanding and solving new problems
• Can translate complex concepts, verbally and in writing, and use synthesized communications to collaborate across an organization

From a cultural perspective, you are:

• Thoughtful and can work effectively in a fast-paced, ever-changing environment
• Constantly seeking ways to simplify and improve how things are done
• Accountable, holding yourself and others to a high standard
• Willing to roll up your sleeves to support the work required and collaborate effectively with people of all backgrounds
• Concise and articulate, drive towards clarity
• Collaborative, assuming positive intentions
• Mission-driven, with a passion for serving patients and communities
• Intellectually curious, with a desire to learn new skills and explore new spaces

ADDITIONAL QUALIFICATIONS:

• Experience shipping production level code and pipelines for data purposes
• Familiarity with healthcare data sources, interfaces and software including EHR, population health tools, patient portals, and clinical decision support technology
• Comfortable writing clear, testable python code, with pyspark experience preferred
• Experience with tools to build re-usable, testable, and maintainable data models (e.g. ontologies)
• Experience with Airflow, Prefect, or other task execution platforms
• Experience with data lake solutions such Palantir Foundry, Databricks
• Comfortable in Docker and on the Unix command line
• Experience with cloud infrastructure (e.g. AWS) and working with serverless computing services (e.g. Lambda)