Company Description

Healthcare providers spend roughly $20B annually on premiums for medical professional liability (“MPL”) insurance, $5-6B of which is spent for physicians. Incumbent carriers utilize outdated risk selection, underwriting, and sales processes. For the first time in 10 years, The MPL market is currently in a hardening cycle. While incumbent carriers are increasing rates to make up for underwriting losses, the environment is ripe for an innovative disruptor to capture market share by deploying artificial intelligence.

Rubicon Founders, an entrepreneurial firm focused on building and growing transformational healthcare companies, has launched Indigo to address this issue. Backed by Oak HC/FT, this company will disrupt the medical professional liability market by offering more competitive products to providers. Benefitting from significant potential cost savings as a result, providers may reallocate resources to invest more directly in patient or staff care. This company intends to fulfill Rubicon Founder’s mission of creating enduring value by impacting people in a measurable way.

Position Description

Are you an expert data engineer with a passion for making a difference in the healthcare industry? If so, we want you to join our team at Indigo, where we're using technology to transform medical professional liability insurance. Our AI driven underwriting process and modern technology streamline the insurance process and equip quality physicians and groups with the coverage they need.

As a senior data engineer you will own the various data components of our system, which includes our data model architecture, our data pipeline / ETL, and any ML data engineering needs. You will help us leverage existing data platforms and databases with best practices to ensure that the data strategy is coherent, that our data systems are highly available, secure, and scalable. You will work with cross-functional teams including business stakeholders, product managers, and data scientists to ensure our data pipeline system meets business requirements and adheres to best practices.

We are a remote distributed team who gathers with intention. You will thrive here if you find energy working from home and getting together to build relationships. At Indigo, you'll have the opportunity to contribute to a meaningful mission that makes a difference in the lives of healthcare providers and their patients.

Responsibilities:

Design and build the Indigo data pipeline and ETL process.
Design and build the Indigo application datastore architecture and implementation
Define a governance and lineage strategy.
Define and implement security across our data systems.
Participate in code reviews and ensure the code is of high quality.
Collaborate with cross-functional teams including product and engineering to understand business requirements and translate them into technical requirements.
Keep up to date with emerging trends in data engineering and contribute to improving our development processes.

Requirements:

Bachelor’s degree in CS or similar; masters advantageous
5+ years of data engineering experience
Expert SQL and Python or Javascript (Node.js)
Experience with AWS services such as EC2, Lambda, RDS, DynamoDB, and S3.
Experience with Snowflake, dbt
Strong understanding of data design principles
Experience designing and building data products from concept to productization.
Experience with automation in the processes of data definition, migration.
Excellent design and problem-solving skills.
Self starter, highly autonomous, thrives in a remote distributed environment

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