Clover Health is driving down costs and producing improved health outcomes with a unique health insurance plan. We use sophisticated analytics and custom software to direct our own clinical staff to proactively fill in gaps in the care of our members. We have a proven model we’re scaling out.
We’re focusing on elderly and low-income patients that stand to benefit from our model the most. This puts us in a position to make a major dent in healthcare expense in the United States and reverse an unsustainable, decades-long spending trend.
The Job
We are looking for Senior Data Engineers to join our team. You’ll be part of a team building data pipelines and tools to support our analytics and application development, with opportunities to touch and explore a wide range of technologies. You will work with data scientists, frontend engineers, and healthcare professionals in a unique environment — leveraging iterative, technical insights and building tools to improve medical outcomes. We value moving fast, but we do so with a pragmatic approach that will allow us to sustain velocity over time.
Healthcare experience is not required
Role and Responsibilities
Develop and maintain systems for capturing changes to data, ensuring correctness and consistency.
Develop batch ingestion (ETL) systems for 3rd party data and internal processes (data science).
Create real-time ingestion systems for applications.
Empower control over these operations.
Design and implement systems for providing data to stakeholders, ensuring correctness and consistency.
Guarantee data freshness and availability.
Enable visibility into history and provide the ability to identify the root causes of change.
Ensure compliance with the highest standards of quality – data is forever.
Advance the organizational understanding of available data, incorporating it into improving our view of the world.
Advocate innovative uses for data, including methodologies, techniques, and tools.
Define and maintain development practices that let us move fast with quality — including writing tests and documenting key implementations.
Assist with continually enhancing operational excellence – deployment, migrations, uptime, performance, etc.
Work with a wide range of tools and technologies (from Python to PostgreSQL) and be able to evaluate technologies for what we are building.
Promote the cause of Complex Data (in contrast to Big Data).
