Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they’re met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported.
Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we’re expanding access to meaningful care and driving better outcomes from the comfort of home.
As a rapidly growing organization, we're reaching more communities every day and building a team that’s redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we’d love to meet you.
About the Role
The Revenue Engine team at Charlie Health services all parts of our business related to revenue collection, financial reporting, and the patient financial experience by sourcing, curating, and activating internally and externally sourced datasets, and building user-facing products. As a data engineer on the Revenue Engine team, you will be responsible for building ELT pipelines, developing custom DAGs, transforming and warehousing data with DBT, and building integrations between our systems.
We’re a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you’re inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today.
Responsibilities
- Develop, release, and maintain high quality data pipelines using Python, FiveTran, DBT, and Snowflake.
- Own and guide the development of our data infrastructure.
- Orchestrate complex data workflows using Dagster.
- Identify bottlenecks and implement improvements to our data engineering processes, tools, and procedures. Everyone on our team shares responsibility for continuously improving how we work.
- Promote a culture of collaboration and learning across the technology team via mentoring, documentation, presentations, or other knowledge-sharing methods.
- Ensure our data is always available by participating in our on-call rotation.
Requirements
- Bachelor’s degree in Computer Science, Mathematics, or other technical discipline, or equivalent practical experience
- 7+ years experience in engineering, with at least 5 years of experience in a data engineering role
- Deep expertise in SQL. You understand CTEs, aggregation functions, window functions, partitioning and clustering approaches to run correct and highly-performant queries
- High proficiency in Python and experience using common data engineering libraries such as Pandas, Numpy, and Great Expectations
- Experience with a modern data stack. Experience with our tools - FiveTran, Snowflake, DBT, Dagster, and Tableau - is a big plus
- Experience with data exploration, profiling, governance, visualization, and activation
- Proven ability to thrive in an ambiguous and rapidly changing environment
- Experience working with sensitive data in a regulated environment
- Expertise in healthcare and/or revenue cycle management is a plus
- You live within a 75 minute commute of our NYC office (near Union Square) and are able to work in-office 4 days per week.
Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.
The total target base compensation for this role will be between $175,000 and $255,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID
- Connection: Care deeply & inspire hope.
- Congruence: Stay curious & heed the evidence.
- Commitment: Act with urgency & don’t give up.
Please do not call our public clinical admissions line in regard to this or any other job posting.
Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services.
Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals.
At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people.
Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation.
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Charlie Health New York, New York, USA Office
215 Park Avenue South, New York, New York, United States, 10003
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