Sr. Analytics Engineer

Pelago • New York City, NY

1d

About The Position

Pelago is hiring a Senior Analytics Engineer to help shape how data is structured and defined across the company. The role is part of a data team that turns complex healthcare and product data into clean, reliable, well-documented models used for reporting, experimentation, AI initiatives, and company decision-making. It is a business intelligence role with an analytics engineering toolkit, reporting to the Director of Analytics and partnering with Commercial, Marketing, and Health Services teams.

The Analytics Engineer will own dbt and semantic layers, build scalable and reusable data assets, and ensure data consistency, quality, and usability for dashboards, experimentation, analysts, and AI use cases. The role requires translating business needs and ambiguous questions into well-modeled data and dashboards, governing metrics, supporting campaign measurement and experimentation, and identifying data issues before they affect the business. Pelago describes its mission as providing personalized substance use and mental health care supported by technology and clinical expertise.

The position is full-time. The US base pay range is $165,000–$185,000, with total compensation also including an incentive bonus program, stock options, comprehensive benefits, and applicable incentive pay. Pelago is unable to offer visa sponsorship for this position.

Requirements

• At least 5 years of experience in analytics engineering, business intelligence, data analytics, or data modeling.
• Expert SQL skills and fluency with dbt, Git, and the full analytics development lifecycle.
• Software engineering discipline, including DRY code, meaningful tests, and clear lineage.
• Strong data modeling and data warehousing fundamentals.
• Ability to create clean, well-documented tables with clear grain that work for analysts and AI.
• Experience building and governing metric definitions through a semantic layer in partnership with analysts, data engineers, and product teams.
• A track record of translating business needs into models and dashboards that stakeholders use.
• Hands-on experience building AI-driven workflows or skills.
• Comfort operating autonomously in a changing environment.

Nice To Haves

• Experience with Cube, Looker, or similar semantic-layer and BI tools.
• Background in healthcare or another regulated-data field.
• Experience measuring marketing campaigns, experiments, or engagement.

Responsibilities

• Build and maintain dbt models in Redshift, designing backward from business needs rather than forward from raw data.
• Apply software engineering practices to the transformation layer, including DRY code, meaningful tests, clear lineage, and documentation.
• Translate ambiguous questions from Commercial, Marketing, and Health Services teams into reusable data models and dashboards for analysts and AI.
• Define and govern consistent metrics through the semantic layer and continually assess whether those metrics remain appropriate.
• Support experimentation and campaign measurement to determine what is working and why.
• Partner with Data Engineering and Product to understand source data, and collaborate with analytics peers to deliver analysis-ready data.
• Build reusable AI-driven workflows that change how the data team works.
• Find and fix data problems before they become business problems.

Benefits

• Generous equity package.
• Full medical, dental, and vision coverage.
• 401(k) plan.
• Unlimited paid time off.
• 10 paid holidays and company-wide “Me Time” days.
• Paid maternity, paternity, and new parent leave.
• Flexible working environment.
• Annual learning and development stipend.
• Wellness reimbursement program.
• Access to reproductive and family planning care.
• Substance use support for employees and family members.
• Incentive bonus program and stock options.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed