Senior Data Engineer

Senior Data Engineer

This job is no longer open

*This is a remote position*

At Cerebral, we’re on a mission to improve access to long-term, high-quality mental health care for all. We believe that everyone, everywhere deserves to get the care they need. And how are we doing this? By making care convenient and accessible and tackling the stigma that surrounds mental illness.

Since launching in January 2020, we have gone from a team of 5 to over 2,500 team members across the United States and in the United Kingdom working hand-in-hand to transform access to high-quality mental health care at scale. Our team will not stop building, growing, and iterating until everyone, everywhere can access high-quality mental health care without the high cost, long wait times, and stigma. Simone Biles, world champion gymnast and mental health advocate, joined Cerebral as our Chief Impact Officer to help further our mission.

We are the fastest mental health company ever to achieve unicorn status, having raised over $462 million and achieving a valuation of $4.8 billion in under two years. Cerebral’s investors include SoftBank Venture Fund 2, Silver Lake, Access Industries, Bill Ackman, Chris Burch, WestCap, and Oak HC/FT.

It is just the beginning for Cerebral, and we need your help as we transform access to high-quality mental health care in the United States and beyond.

How you will contribute:

  • Work with our team of Data and Machine Learning engineers to scale and increase the capabilities of our backend data platform for our important mission of delivering data-driven mental health care.
  • Establish our workflow orchestration toolset using technologies like DBT and Airflow
  • Build streaming and batch data pipelines from third-party services with as well as in-house applications and Kafka topics, to the Snowflake data warehouse
  • Support the development of scalable data-powered APIs by setting up AWS resources using terraform, kubernetes, docker containers, and github actions
  • Manage internal application and analytics data models, while applying best practices for read and write performance where needed
  • Troubleshoot technical issues with platforms, including data discrepancies in BI tools Looker and Heap, and diagnose DataDog alerts, etc.

Our tech stack:

  • Languages: Python, SQL
  • Tools: AWS, Docker, Kubernetes, Airflow, Terraform, Snowflake, Postgres, Kafka, DBT, Fivetran, Datadog 

Skills you’ll bring:

  • Experience with cloud computing (preferably AWS), containerization (Docker and Kubernetes), and infrastructure as code (e.g. Terraform)
  • Experience in data modeling, schema design, and ability to write advanced SQL queries in relational databases
  • Experience building workflow automation tooling and creating DAGs with sensors in Airflow 
  • Experienced in building and managing event-driven ETL pipelines and streaming services using technologies like Kafka or similar technologies
  • Experience developing REST APIs that interface with robust and scalable microservices 
  • Manage releases and deployment, and work with QE and DevOps to automate testing 
  • Familiarity with implementing data and/or machine learning algorithms in production systems (e.g. AWS Sagemaker, GCP Datalab or custom implementation) 
  • Engineer with security and compliance as a foundation

About You:

  • Passion for data with years of progressive experience as a software engineer
  • Demonstrate strong technical architecture and platform engineering skills along with the ability to switch between technology paradigms
  • Curious, love to learn and to dig into new technologies, and can pick them up quickly
  • Strong communicator - able to explain key concepts in meetings and in writing to teammates from different functions and experience levels
  • Maintain startup grit; willingness and desire to take on personal responsibility for the business as a whole and “figure it out”, whether it’s in your exact functional lane or not
  • Love working with some of the best world-class engineers, product managers, and architects
  • Excited to expand access and improve outcomes in behavioral and mental health. See this link for more detail on Cerebral’s vision and values

Benefits:

  • Top-quality healthcare, dental, and vision plans
  • Remote friendly (only remote!)
  • Monthly happy hours
  • 401K 
  • Unlimited PTO policy
  • Stock options compensation plan 
This job is no longer open
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