Data Engineer

Capsule , updated 5 months ago
Employment type
Salary
120000.0000
Benefits
Specialty
Industry
Seniority Level
Location
New York, New York, United States Of America

Job description

About Capsule

Capsule is rebuilding the $425 billion pharmacy industry from the inside out ( https://medium.com/@ekinariwala/a-pharmacy-that-works-for-everyone-22a5d4e7841b )with an emotionally resonant brand and technology that enables customized outcomes for doctors, hospitals, insurers, and manufacturers. Our team makes the same promise to each other as the one we've made to our customers, doctors, and partners: everybody needs some looking after sometimes. We'll never lose sight of the fact that behind all the craziness of the healthcare system, we're just people looking after other people. Capsule has raised $70 million from Thrive Capital, Glade Brook Capital, and The Virgin Group ( https://www.virgin.com/richard-branson/tackling-pharmacy-consumer-experience-ground ).

In this role you will:

Build scalable, fault-tolerant batch and realtime data pipelines to power Capsule's consumer and internal applications, operational workflows, and business intelligence
Help manage Capsule's data infrastructure which spans an array of AWS managed services and self-hosted open source big data technologies
Build data driven features into our Django webapp and React front end
Answer complex questions by diving into data spread across many disparate sources
Work closely with both non-technical reporting customers and fellow engineers to design a data platform that makes Capsule's data accessible to and usable by everyone
Collaborate with DevOps engineers on AWS infrastructure improvements

You'd be a good fit if:

Fluency in at least one general purpose programming language (Python, Java, Scala, Go, Ruby, C++, etc…)
Comfortable with SQL

Nice to have*:

Experience with Python
Experience building scalable batch and realtime data pipelines
Experience with AWS technologies such as Redshift, S3, Lambda, EMR, Kinesis, RDS
Experience with data technologies such as Presto, Airflow, Hadoop, Spark, HBase
Experience with dockerization, Kubernetes
Experience building Machine Learning pipelines
Experience in an agile startup environment
Experience at a healthcare technology company

Benefits


Competitive salary and equity
Health, Dental, and Vision Insurance
Health and Commuter FSAs
Flexible vacation policy
"Nice to have" really means "nice to have". It's completely possible that you don't have any of these and are still a great fit for the team.

Capsule