Data Engineering Lead

Mindbloom; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

A mental health technology company is seeking a Data Engineering Lead to build the data engine for personalized care. The ideal candidate will have over 5 years of experience in data and analytics engineering, a strong emphasis on dbt, and a connection to altered states of consciousness. Responsibilities include conducting analyses, evolving data pipelines, and modernizing the data stack. This role is critical for driving business decisions within the company.

Qualifications

• 5+ years of experience in data engineering and analytics engineering.
• Strong emphasis on dbt and comfortable with data pipelines.
• Experience within a startup environment and direct-to-consumer experience.

Responsibilities

• Conduct deep-dive analyses to drive key business decisions.
• Build and deploy scalable, self-serve tools.
• Own and evolve the data pipeline for accuracy and reliability.
• Modernize the data stack to reduce turnaround times.

Skills

Data engineering

Analytics engineering

dbt

AI tools deployment

Tools

dbtCloud

Job description

Mindbloom is seeking a Data Engineering Lead to build the data engine that powers personalized care, scaled therapy, and measurable outcomes for our clients. We are looking for someone with 5+ years of experience in data engineering and analytics engineering, with a strong emphasis on dbt. You should be comfortable owning and evolving data pipelines, deploying AI tools, and driving key business decisions through deep-dive analyses. Experience within a startup environment (Series C or earlier) and direct-to-consumer experience is highly valued. You should also possess a deep personal connection to altered states of consciousness and a belief in psychedelic medicines.What you'll do:

• Conduct deep-dive analyses to drive key business decisions and answer high-impact questions from every department, including the CEO.
• Build and deploy scalable, self-serve tools that empower teams to access insights independently.
• Own and evolve the data pipeline to ensure accuracy, reliability, and trust across all metrics and dashboards.
• Modernize our data stack and event pipeline to reduce analyst turnaround times and implement more horsepower.
• Implement dbtCloud, backed with an MCP server, to enable our business team to combine AI with Mindbloom-specific data.
• Work closely with our Head of Engineering and Head of of Mindbloom Health to define and launch our next major evolution of Functional Psychiatry.