Data Engineer

April 25

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Sesame

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51 - 200

Description

• Sesame is the home for Americans who have been priced out of the traditional healthcare system. Whether they are uninsured or burdened by high-deductible insurance, the Sesame marketplace brings millions of Americans access to healthcare they need at a fraction of the typical price. • Customers on our platform love that they can get high-quality care quickly and easily for a fair price. • We have raised $75 million in capital from leading investors including Google Venture, General Catalyst, and Industry Ventures, and we continue to invest in scaling our marketplace! • Engineering at Sesame: Want to help? Join our team! We are growing and looking for experienced Data Engineers. At Sesame the Data Engineer plays a pivotal role in overseeing the data pipelines integral to our platform, which harmonizes our technological, product, and operational facets, driving strategic insights for executive-level decision-making. Collaborating across departments, you'll be instrumental in crafting our analytics strategy and fostering best practices. Your responsibilities will encompass the management of our current platform, while spearheading its evolution to match Sesame's expansion. You'll be tasked with constructing novel data pipelines and enhancing existing ones, always prioritizing the facilitation of data-informed decision-making throughout the organization. • Our offer: Working with us means you will be challenged every day by our customers, our partners, and your peers. You can be yourself, speak freely, be trusted and respected. We are an organization that values radical candor and believe that product-defining ideas can come from anywhere.

Requirements

• Design, develop, and maintain data pipelines and data models • Analyze and interpret data to identify trends and insights • Create dashboards and reports to visualize data • Utilize machine learning and predictive analytics to drive business decisions and strategies • Develop data-driven solutions and strategies for clients • Utilize big data technology to process and store large data sets • Troubleshoot and address data-related issues • Stay up to date with the latest technologies and industry trends • Collaborate with other departments to ensure data accuracy • Develop and maintain data quality standards • Tech Stack: Postgres, Google Cloud Platform, Snowflake, Temporal, & ClickHouse

Benefits

• Competitive total compensation package with generous equity • Generous, flexible vacation policy • A fun and international work environment with teams in New York and Europe (Berlin, Germany) • The opportunity to work independently and remotely • The chance to learn first-hand about the biggest industry in the world