Job Description

Our Mission

At Big Health, our mission is to help millions back to good mental health by providing fully digital, non-drug options for the most common mental health conditions. Our digital therapeutics — Sleepio for insomnia, Daylight for anxiety, and Spark Direct for depression — provide treatment anytime, anywhere. 

In pursuit of our mission, we’ve pioneered the first at-scale digital therapeutic business model, in partnership with some of the most prominent global healthcare organizations, including CVS Health and the UK’s NHS. Through product innovation, robust clinical evaluation, and a commitment to equity at scale, we are designing the next generation of medicine and the future of mental health care. 

Our Vision

Over the next 5-10 years, digital therapeutics (DTx) will transform the delivery of health care worldwide, providing access to safe and effective evidence-based treatments to billions. Big Health is in a prime position to take the lead in this transformation.

Big Health is a remote-first company, and this role can be based anywhere in the US. We encourage you to apply even if you don’t meet 100% of the job requirements.

Join us.

As a Senior Data Engineer at Big Health, you will be a critical member of our Engineering team and develop data systems for the digital therapeutics (DTx) platform. You will have the opportunity to influence technology decisions and systems as we optimize the product and scale our digital therapeutics platform.

• Design, build, and monitor data pipelines that collect, process, and store data from various sources, user behavioral analytics, databases, and third party vendors
• Identify opportunities and implement automation, data management tools, and frameworks to enhance efficiency and productivity
• Optimize and manage data flows and integrations across various platforms and applications
• Work extensively with large-scale event-level data, aggregating and processing it to support business intelligence and analytics
• Collaborate with product managers, data analysts and engineers to define requirements and data specifications that drive customer engagement and retention

• 5+ years of hands-on experience in data engineering, cloud data warehouses, and ETL development, preferably in a customer-facing environment
• Strong understanding of cloud-based columnar databases (e.g., Snowflake, Redshift, BigQuery), with hands-on expertise in relational databases (e.g., PostgreSQL)
• Expert knowledge in writing complex pySpark, SQL, dbt and ETL development with experience processing extremely large datasets.
• Strong Python programming abilities with experience in Docker
• Understanding of data security and privacy principles, as well as regulatory compliance requirements (e.g., GDPR, CCPA)

• Join a diverse team of all backgrounds, we’re proud to be an equal opportunity employer
• Autonomy over your work and freedom to input
• Enjoy a clearly structured personal review and development program
• Quarterly happiness survey that we use to ensure we’re creating a healthy and happy workplace for ourselves
• Fund for spending on personal happiness
• Regular team and company events
• Generous vacation and maternity/paternity policy
• Competitive salary and equity package

• Backed by leading venture capital firms, Index Ventures, Octopus Ventures, and Kaiser Permanente Ventures
• With offices in London and San Francisco, Big Health’s products are used by large multinational employers and major health plans to help improve sleep and mental health. To date, more than 12 million people across 60+ countries have access to Sleepio or Daylight

$145,000 - $190,000 a year

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Additional compensation may include benefits, variable pay, discretionary bonuses and equity.

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. The pay scale is subject to change depending on business needs.

Because we are on a mission to bring millions back to good mental health, we believe it’s essential to reflect the diversity of those we intend to serve . We’re an equal opportunity employer dedicated to building a culturally and experientially diverse team that leads with empathy and respect.

Additionally, we will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Big Health participates in E-Verify and will provide the federal government with Form I-9 information from all new employees to confirm that they are authorized to work in the U.S. Big Health does not use E-Verify to pre-screen applicants.

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