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Senior Data Engineer


United States
Base Salary
175k-210k USD
Grow Therapy

Job Description

About us:

Grow Therapy is on a mission to serve as the trusted partner for therapists growing their practice, and patients accessing high-quality care. Powered by technology, we are a three-sided marketplace that empowers providers, augments insurance payors, and serves patients. Following the mass increase in depression and anxiety, the need for accessibility is more important than ever. To make our vision for mental healthcare a reality, we’re building a team of entrepreneurs and mission-driven go-getters. Since launching in February 2021, we’ve empowered more than ten thousand therapists and hundreds of thousands of clients across the country and insurance landscape. We’ve raised more than $178mm of funding from Sequoia Capital, Transformation Capital, TCV, SignalFire, and others.

What You’ll Be Doing:

  • Own the design and optimization of the data infrastructure.
  • Collaborate with product and engineering to advocate best practices and build supporting systems and infrastructure for the various data needs.
  • Create reliable data pipelines and associated documentation for source of truth tables.
  • Implement data governance and error monitoring, ideally using an orchestration framework like Airflow.
  • Unlock self-serve analytics by building out comprehensive data models for different teams.

You’ll Be a Good Fit If:

  • You have at least 5+ years of experience in a data engineering role building products, ideally in a high-growth, fast-paced environment
  • Experience with Snowflake, Fivetran, DBT, SQL, Airflow and LookML.
  • Strong foundations in Python, Spark (nice to have), data modeling and system design
  • You have excellent communication and collaboration skills, and can work effectively with cross-functional teams to achieve common goals.
  • You are proactive and self-motivated, and can work independently to identify and prioritize opportunities for optimizing and improving our data pipelines and infrastructure.

Please upload your Resume in a PDF format.

The salary range for this role is 175-210k.


  • The chance to drive impact within the mental healthcare landscape from day one
  • Comprehensive health insurance plans, including dental and vision
  • Our dedication to mental health guides our culture. Wellness benefits include (but are not limited to):
    • Flexible working hours and location (remote OR in-office, your choice!)
    • Generous PTO
    • Company-wide winter break
    • Mental health mornings (2 hours each week)
    • Team meditation
    • Wellness Stipend
    • In-office lunch and biweekly remote lunch on us!
  • Continuous learning opportunities
  • Competitive salary
  • The opportunity to help build a rapidly scaling start-up organization by taking strong ownership of your work, mentorship, and our unbounded leadership opportunities

Grow Therapy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Advice from our career coach

As a successful applicant for this data engineering role at Grow Therapy, you should have a strong background in data infrastructure design and optimization, as well as experience with tools like Snowflake, Fivetran, DBT, SQL, Airflow, and LookML. To stand out as an applicant, focus on showcasing your experience working in a high-growth, fast-paced environment and highlight your abilities in Python, Spark, data modeling, and system design. Additionally, emphasize your excellent communication skills, collaboration abilities, and proactive, self-motivated work style.

  • Highlight your experience in data engineering roles in a high-growth environment.
  • Showcase your expertise with tools like Snowflake, Fivetran, DBT, SQL, Airflow, and LookML.
  • Emphasize your skills in Python, Spark, data modeling, and system design.
  • Demonstrate your strong communication and collaboration abilities.
  • Showcase your proactive and self-motivated work style.

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