Senior Data Engineer
Remote - US
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Big Health
Clinically proven digital care programs, therapy, and care navigation. Get started today with our effective mental health solutions.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 VisionOver 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.
Job Responsibilities:
- 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
Required Skills and Experience:
- 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)
Life at Big Health:
- 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
More Background on Big Health:
- 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
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: BigQuery Business Intelligence Data management Data pipelines dbt Docker Engineering ETL Pipelines PostgreSQL Privacy PySpark Python RDBMS Redshift Security Snowflake Spark SQL
Perks/benefits: Career development Competitive pay Equity / stock options Team events
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