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Capsule // pharmacy delivery
Engineering, Full Time    New York City    Posted: Thursday, February 11, 2021
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About Us:

Capsule is rebuilding the $425 billion pharmacy industry from the inside out with an emotionally resonant experience, & technology that enables customized outcomes for doctors, hospitals, insurers, & manufacturers. Our team makes the same promise to each other as the one weve made to our customers, doctors, & partners: everybody needs some looking after sometimes. Capsule has raised over $250 million from the best consumer internet & healthcare investors in the world.

Our values are: everybody needs some looking after sometimes & winning together. People succeed in our culture when they are energized to accomplish ambitious goals & push themselves & those around them to be better. We work hard to teach & share our successes to help others be successful. We anticipate our teammates needs & communicate early & often, using the input of our peers to operate both fast & right. We have tremendous ambitions & have a lot of fun pursuing them if that excites you, we would love to have you join us. 

What You'll Do:

  • Build scalable, fault-tolerant batch & realtime data pipelines to power Capsules consumer & internal applications, operational workflows, & business intelligence
  • Work closely with both non-technical reporting customers & fellow engineers to design a data platform that makes Capsules data accessible to & usable by everyone
  • Operate & maintain Capsules data infrastructure which spans an array of AWS managed services & self-hosted open source big data technologies
  • Collaborate with SRE teams to deploy applications that are repeatable, observable, & fault tolerant.


  • You're fluent in at least one general purpose programming language (Python, Java, Scala, Go, Ruby, C++, etc), Python preferred.
  • You have expertise in SQL, with the ability to perform analysis & write complex transformations using the full breadth of the SQL language
  • You have a history of building scalable batch & realtime data pipelines
  • You're experienced working with Amazon Web Services, certifications preferred 
  • You're familiar with with Big Data query engines & MPP databases such as Presto/Hive/Snowflake/Redshift
  • You are experienced with real-time data processing, leveraging messaging technologies (Rabbit, SNS/SQS, Kinesis)
  • You are experienced with containerized & serverless deployment

About You:

  • You take pride in enabling the best work of others on the team. You think ahead to anticipate the needs of your teammates & you give & get all the facts making it easy for others to make decisions.
  • You drive results in a way that makes everyone better. You accomplish ambitious objectives while uplifting the team around you. You're a magnet for team members looking to get better & be successful.
  • You work hard & want to have fun while you do so. You celebrate wins & remember to enjoy the journey as we build something iconic.
  • You can work both fast & right & don't view them as trade-offs. You understand when things require precision & accuracy & where 80% gets you to the desired outcome.
  • You thrive on being pushed & challenged. You communicate effectively both in written form & live / on your feet - you are not fazed by tough questions in the moment. 
  • You strike the right balance between putting enough work in to share something, but not going off into a corner for weeks at a time to polish something to perfection.
  • You operate like an owner & expect others to as well. You take personal responsibility & value personal responsibility in others. 
  • You check your ego at the door. You are interested in finding the right answer vs. always having the right answer. 

Capsule is committed to hiring the best team possible to build a pharmacy that works for everyone. We have a diverse set of problems to solve, & believe that we need a diverse set of perspectives to deliver the best possible solutions to those problems. We look for talent from a wide range of backgrounds - including but not limited to - race, age, sexual orientation, gender identity & expression, national origin, religion, disability, & veteran status.

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