Python Developer

Company: Staffer
Location: New York, New York, United States
Type: Full-time
Posted: 03.SEP.2021
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Summary

Why We Exist Every morning, 10,000 Americans wake up and begin their first day of retirement. Chapter is re-inventing the way that American...

Description

Why We Exist

Every morning, 10,000 Americans wake up and begin their first day of retirement. Chapter is re-inventing the way that Americans transition into retirement, starting with Medicare. We are re-authoring the aging narrative by enabling Americans to age with purpose and security and to define their best chapter.

For most people, Medicare is boring, bureaucratic, and confusing. But it's tremendously important.

What We Do

Our team and technology help retirees to navigate Medicare, including when and how to sign up, what specific coverage to choose, and how to maximize the benefits from their coverage.

Chapter has built industry-leading technology to help retirees save thousands of dollars on their healthcare. Our promise is simple: we want people to improve their health coverage while reducing what they pay for it.

Our Team

Our team is high-integrity and high-horsepower with a big heart. We are software engineers, illustrators, lawyers, and former management consultants. We have worked at organizations including Palantir, Axios, Latch, and McKinsey.

The Role: Software Engineer, Data

We're looking for a data engineer to join as a member of our core team. You will join a tight-knit team and be empowered to shape the direction of technology and culture of the company.

Some of the things you can look forward to at Chapter

You will build features and pipelines across the platform, from tools that collect and generate data to pipelines that transform and model data into usable, operational systems. We have the best data management platform in the world as the first startup to use Palantir's data management platform, Foundry. You will establish technical strategy and direction and will also support growing and developing a world-class engineering team. There are so many important problems to solve that directly impact the lives of the 10,000 Americans entering retirement every day.

What you'll need to be successful

  • Strong proficiency with Python. Familiarity with Spark or PySpark is preferred but not required
  • Understanding of data pipeline best practices and data modeling techniques
  • Excitement to build scalable data collection mechanisms to unlock information previously siloed away
  • Comfort with ambiguity. While starting from a blank slate is challenging, you find it exciting, rewarding, and empowering. You are able to build products from the ground up
  • Passion and excitement for the cause: to re-define how Americans age and transition into their third chapter
  • Superlative positional empathy with a strong understanding of how technical decisions impact the user of what you're building
We are an equal-opportunity workplace. We are deeply committed to building an inclusive workplace for people of all races, ages, gender identities, sexual orientations, religions, and ethnicities.

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