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Senior Data Engineer

Headspace  and Ginger  have recently merged to become Headspace Health! While roles are still being recruited separately on our respective websites, new hires from this point forward will be joining Headspace Health. For more information, please speak with your recruiter! 

About the Role:

At Ginger/ Headspace Health, we aim to provide better mental health care to humanity at a scale larger than has ever been possible before. This is no small task and as an expanding team we are working on a number of initiatives to achieve this, including aggressively building tools to simultaneously grow our reach and improve quality of care.

As a Data Engineer, you’ll assist the data science team to open up our data to uncover important insights and help to build the next generation of accessible and compassionate mental health care. 

What You'll Do:

Standing at the center of multiple teams (ML, analytics, engineering), you'll...

  • Help architect systems for near-real-time delivery of recommendations, care insights and other time-critical information to coaches and members. 
  • Design data schemas appropriate for storing, organizing and joining processed communication and care analytics.
  • Devise the tooling that takes us from algorithm prototype to production and can track data/model lineage and statistical drift through time.
  • Develop pipelines that efficiently and reliably route output of machine learning algorithms to consumer processes and persistence mechanisms. 
  • Own operational scalability of our algorithms, systems and data models.
  • Build composable, reusable, and robust infrastructure using Infrastructure-as-Code (AWS CDK). 
  • Stand up infrastructure for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python, SQL and AWS services.
  • Work with a variety of stakeholders including the Data, Product, Engineering, Security, and Executive teams to support their data accessibility needs.

Necessary Skills:

  • Experience architecting and managing data warehouses/data lakes 2+ years
  • Databases SQL/NoSQL 3+ years
  • Cloud platform experience 3+ years
  • Schema design 2+ years
  • Python 4+ years
  • Deploying to production systems with active customers 2+ years
  • Infrastructure as Code (e.g. CDK, Terraform) 1+ years
  • Typescript 1+ years
  • Infrastructure monitoring 2+ years
  • Analytics experience working wit h structured and unstructured data 2+ years
  • Project lead (self-managing) 1+ years

Ideal Skills:

  • MLOPs 2+ years
  • Amazon Web Services (AWS) 3+ years, some products we use:
  • Cloud Development Kit, 
  • Lambda
  • Sagemaker 
  • Fargate / ECS
  • DynamoDB
  • Kinesis
  • EKS
  • Docker / Kubernetes deployments
  • Distributed computing (e.g. Spark, Hadoop etc.) 2+ years
  • DB performance engineering
  • Machine Learning (ML) 1+ years
  • Running ML on GPUs 1+ years
  • Django 1+ years
  • Setting up CI / CD for ML workflows 1+ years
  • Experience architecting, deploying, and managing distributed message queues (e.g. SQS, RabbitMQ, Pika)
  • Strong analytics intuition grounded in significant experience 
  • Experience handling streaming data and/or message based services, e.g. call center
  • Experience in the healthcare space
  • Masters in technical field or experiential equivalent

How we feel about Diversity & Inclusion: Headspace Health is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.  *Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace Health. Please inform our Talent team if you need any assistance completing any forms or to otherwise participate in the application process.





Job type



Data Engineering


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