Data Engineer

Anywhere in the U.S.

Full Time
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Calm
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Posted 2 weeks ago

About Calm

We have a simple mission at Calm: To make the world a happier and healthier place.   The heart of Calm is digital but the brand is expanding offline into a variety of products and services that bring more peace, clarity and perspective into people’s busy lives. We are building Calm into the Nike of the Mind. We believe Calm can become one of the most valuable and meaningful brands in the world.   Over 75 Million people have downloaded the app and we are growing by 100,000 new downloads a day. The company is profitable and headquartered in San Francisco, CA.   Calm was co-founded by Alex Tew (Million Dollar Homepage) and Michael Acton Smith (Mind Candy, Moshi Monsters, Firebox).     Mission   We are currently building and supporting state-of-the-art data system using SQS, Firehose, Spark, Redshift, and Airflow, that is run in the cloud on AWS, deployed via Docker and Kubernetes, and has a codebase written with Go, Python, and SQL.  We are looking for a data engineer who can help us define, design, build, and optimize our data ecosystem.  You will help us integrate different data sources, improve the efficiency, reliability, and latency of our data system, help automate data pipelines, and improve our data model and overall architecture.  We are looking for someone who has experience working with data scientists and understands how to support their needs.  We are also looking for someone who is keenly aware of and motivated by driving business value.  Calm has an extremely data-driven culture and your work will be critical to our success as a company.   You can read more about our interview process, our engineering organization, and what we've worked on recently.   Outcomes
  • Build data integrations within our data platform and between partners 
  • Write well-tested, production ready code in Python, Go, and/or SQL
  • Improve the efficiency, reliability, and latency of our data system
  • Create automated, highly reliable data pipelines
  • Help define and craft our data model
  • Onboard onto Airflow and Redshift and assist with improvements and maintenance
  • Define, design, and build data testing and quality frameworks
  • Test all code written and ensure production readiness before shipping
  • Work cross-functionally with our product, marketing and growth teams on complex and exciting projects that propel Calm’s business
  • Stays up-to-date with high-potential new technologies, and can evaluate and present to the team for Calm's use case
  Competencies
  • Extensive experience working with at least one data processing tool such as Spark, Redshift/Snowflake, Airflow/Luigi, etc
  • Basic working knowledge of other big data technologies 
  • Experience building and maintaining critical, reliable ETL pipelines
  • Experience writing production-level code in Python or Go 
  • Fluent in SQL
  • Great communicator who can easily break down complex concepts to non-technical stakeholders
  • Excellent sense of how to drive business impact
  • Experience working with data scientists, analysts and can understand their needs
  • Bonus points if you have some devops related-experience working with, e.g., kubernetes, terraform, etc.
    Benefits
  • Competitive salary and equity
  • Unlimited PTO
  • We pay your medical, dental, & vision insurance premiums
  • 401K
  • Commuter benefits
  • Life insurance and disability benefits
  • Apple equipment
  • Opportunity to work with a product focused on making the world happier and healthier
  • And much more!

 

 
Job tags: Airflow AWS Big Data Engineering ETL Kubernetes Marketing Python Redshift Spark SQL