Data Engineering Tech Lead

Mindbloom 🧠 

We’re on a mission to transform lives to transform the world. Founded in 2018, Mindbloom is the #1 trusted brand in psychedelic therapy.

Today, we’re the first and largest national provider of ketamine therapy for depression, anxiety, and PTSD. Our product is the most clinically effective and premium client experience by far, all while being affordable to everyday Americans 100% from the comfort and convenience of home.

Every day, we hear stories of transformation from clients like Leslie, “I suffered from crippling anxiety, depression, and became treatment-resistant. I tried Mindbloom out of literal desperation. Ketamine therapy has changed my life – perhaps even saved it”. 

• 300,000+ treatments per year

• 38 states reaching 86% of Americans

• 2 largest peer-reviewed studies in psychedelic medicine history

Tomorrow, Mindbloom will offer the next generation of psychedelic medicines, including MDMA and psilocybin.

Do The Best Work Of Your Life ✨

The team that you build is the company you build.

Mindbloom is an intense, mission-obsessed, and fun environment. We might take our work a little too seriously, but never ourselves. Clients come first, and we hold a high bar for talent and performance. If you’re looking to play on Easy mode, this is not for you. All Bloomineers are voracious learners, fiercely committed to becoming the best in their craft. Relentless drive is the baseline because lives are on the line, and anything less than excellence is failure.

• Our Founder and CEO, Dylan Beynon, is a 3X founderbuilding world-positive companies (1 exit and 2 healthcare category leaders with hundreds of millions raised)

• Our Medical Director, Dr. Leonardo Vando, is a pioneer in psychedelic therapy

• Our seasoned leadership team hails from household-name startups

We’re backed by Tier 1 investors including Kleiner Perkins, 8VC, and Founders Fund. 

Build In A Conscious Company Culture 🧘🏽‍♀️🧘‍♀

We don’t just transform our clients’ lives – we transform our Bloomineers’ lives too, through a culture of freedom and responsibility. 

• Remote-first from founding

• Asynchronous-oriented

• Rigorous and writing-based

Our CEO won the Tony Hsieh Award for building an innovative and transformational culture, and we’re consistently honored in employer awards like LinkedIn’s Top 50 Startups. 

Our core values:

• Practices Intellectual Honesty: You seek and speak the truth directly and possess high courage and low ego

• Makes Exceptional Decisions: You use the case-appropriate level of rigor, data, and speed

• Cultivates Wholeness: You bring your authentic self and practice positivity

• Focus: You simplify, practice deep work, and say no often

Role 🎨

As Data Engineering Tech Lead, you’ll literally transform and save lives by building the data infrastructure that powers every client breakthrough — accelerating our ability to personalize care, scale psychedelic therapy, and make life-changing outcomes measurable. You’ll drive engineering velocity through rock-solid pipelines, airtight tracking, and AI-powered workflows — while mentoring a team and setting the bar for excellence across Mindbloom’s entire data ecosystem.

What You’ll Work On:

• Build Data Infra: Design and scale the cloud architecture that powers large-scale ELT workflows and real-time pipelines across Mindbloom’s platform.

• Integrate Seamlessly: Partner cross-functionally to ensure smooth, reliable data flow across tools and teams.

• Automate Everything: Implement CI/CD for data, from deployment to monitoring, to ensure rapid iteration and minimal downtime.

• Optimize for Scale: Proactively troubleshoot, debug, and fine-tune performance in production to maximize speed, reliability, and efficiency.

• Lead with Vision: Mentor a high-performing team, champion best practices, and drive adoption of AI tools to elevate pipeline quality and engineering velocity.

• Audit and Architect Tracking: Ensure accurate, scalable event tracking across analytics and advertising tools — from client-side data capture to downstream systems like Segment, GTM, and Meta.

• Advise on Growth Data Strategy: Guide cross-functional partners on best practices for tracking, instrumentation, and data infrastructure to power high-leverage growth campaigns.

Tech Stack:

• Back-end: Python/Django, Postgres

• Front-end: Vue, React Native

• Hosting: AWS (RDS, SQS, S3, ECS)

• Data & Product: Segment, Amplitude, Snowflake, Looker

Sound Like You? 🎧

• Consummate Developer and Architect: Upholds exemplary coding, test, and observability practices; acts as a steward for the code base and the resultant client experience

• Resourceful Owner: Leverages both experience and new state-of-the-art tools and services to solve client problems; bias for action

• Mission-Obsessed: You have firsthand experience with altered states of consciousness

• Remote-able: You excel in a remote-first, writing-based culture of freedom and responsibility

Interview Process ✍

• Recruiter Phone Screen 

• HM Interview

• Tech Deep Dive 

• Career Story Interview

• Founder & CEO Interview 

• Reference Calls 

Benefits 🤝

• Psychedelic Therapy: 90% off Mindblooom for you and 40% off for your family

• Fully Remote: More freedom, flexibility, and deep work than you’ve ever experienced

• Culture: Annual company retreat and department offsite

• Time Off: Take what you need, vacation and parental leave policy

• Insurance: Medical, dental, and vision insurance

• Retirement: Employer-sponsored 401k plan 

Given Mindbloom’s funding and size, we heavily value the potential upside from equity in our compensation package. Further, note that Mindbloom has minimal hierarchy and titles, but the scope of the role and compensation will be reflective of your level.  The estimated annual salary range for this role is $110,000 - $165,000 USD. The actual base salary may differ based on your current level of job-related skills and experience, location, and on market data changes. Total compensation for this role may vary depending on equity, sales incentives (for sales roles), and benefits elected.