Senior Data Engineer

Senior Data Engineer

This job is no longer open
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 — Daylight for anxiety, and Sleepio for insomnia — are available anytime and anywhere to help people overcome their mental health issues.

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. 

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.

As a Senior Data Engineer at Big Health, you will add a tremendous amount of value for our end-users by unlocking our ability to leverage data, enabling and contributing to our data driven decision making and helping refine our digital therapeutics for maximum effectiveness. Your work will help millions get back to good mental health. You will grow our domain-driven data mesh, leading a cross-functional working group that builds products and resources for our data consumers throughout the company. You will improve our internal data platform with new self-serve features, expanded trends monitoring and curated data sets. You will influence our data ecosystem end-to-end, from the data sources (Big Health’s applications and 3rd party services), through our internal pipelines and databases, to our reporting dashboards and machine learning services.

Essential Job Duties:

    • Grow our data mesh by inventing data products together with domain experts and stakeholders
    • Build self-serve data platform features that enable data creators and data consumers
    • Expand our data testing and data monitoring capabilities and coverage
    • Implement both near-real time and recurring batch data pipelines
    • Contribute to new data products such as curated data sets and machine learning services
    • Design software that is tested, scalable, extendable and performant
    • Suggest refinements our project goals that will better serve stakeholder needs
    • Lead the implementation plan for your workstreams
    • Propose technical solutions and process improvements that increase our team’s efficiency

Required Skills and Experience:

    • 5+ years of experience in writing cloud-based software
    • Expertise with AWS data processing products (Kinesis, S3, Lambda, etc.) or comparable (Redis, Kafka, Google DataFlow, etc.)
    • Strong knowledge of relational DBs (Postgres, Snowflake, etc.) including SQL, data modeling, query tuning, etc.
    • Experience delivering software products built using Python
    • Experience using professional software development practices, including: Agile processes, CI/CD, etc)
    • Familiarity with distributed data processing frameworks (AWS Glue, Spark, Apache Beam, etc.)
    • Familiarity with modern data analysis, dashboarding and machine learning tools (DBT, Fivetran, Looker, SageMaker, etc.)

Life at Big Health:

    • Be part of a team that includes clinical psychologists, software engineers, business leaders and even a former professional magician [shh… it’s a secret]
    • Surround yourself with the smartest, most enthusiastic and dedicated people you’ll ever meet, but who listen well, learn from their mistakes and when things go wrong, generously pull together to help each other out 
    • Check out our values - they’re a living, breathing part of our culture
    • Enjoy benefits including a generous vacation policy, professional development fund, flexible working locations and more.
    • Competitive salary packages including stock options
$165,000 - $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.
This job is no longer open
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