Our Data team sits at the center of how Pelago makes decisions. As we scale, we’re evolving our data function to bridge the gap between raw data and real business insight.
We transform complex healthcare and product data into clean, reliable, and well-documented models that power reporting, experimentation, AI initiatives, and day-to-day decision-making across the company.
Overview of the Role:
We’re looking for an Analytics Engineer who loves building scalable data models, thinking deeply about business logic, and creating reusable data assets.
In this role, you’ll help shape how data is structured and defined across Pelago—ensuring consistency, quality, and usability for everything from dashboards to experimentation to future machine learning use cases.
What You’ll Do:
Build the foundation for analytics- Design, build, and maintain scalable dbt models for analytics and reporting
- Develop modular, well-documented transformation logic in Redshift
- Optimize performance and maintainability of transformation pipelines
- Implement testing, validation, and observability standards to ensure data quality
- Translate ambiguous business requirements into structured, reusable data models
- Define and maintain standardized KPIs and metric logic
- Own and evolve Pelago’s semantic layer to ensure consistency across teams
- Build reusable data marts for dashboards, experimentation, ROI analysis, and AI workflows
- Reduce metric inconsistencies and reporting fragmentation
- Work closely with Data Engineering to ensure reliable upstream pipelines
- Collaborate with Product, Clinical, Client Success, Finance, and Growth teams
- Support Data Analysts with clean, analysis-ready datasets
- Contribute to documentation, data governance, and analytics best practices
- Structure data for experimentation, personalization, ROI measurement, and AI initiatives
- Prepare datasets for downstream data science and machine learning workflows
- Identify opportunities to improve analytics velocity through better modeling and abstraction
What We Look For:
Required- 3+ years of experience in analytics engineering, data analytics, or data modeling
- Advanced SQL skills and experience building production-grade data models
- Strong understanding of data warehousing concepts and dimensional modeling
- Experience with dbt and analytics engineering best practices
- Experience working in a modern data stack (Redshift, Snowflake, or similar)
- Proven ability to translate business needs into scalable data solutions
- Experience working in cross-functional, agile environments
- Experience with Looker or similar BI tools and semantic layer design
- Familiarity with healthcare data or regulated environments
- Experience supporting experimentation, ROI measurement, or product analytics
- Exposure to AI/ML data preparation or feature-ready modeling
- Experience implementing data quality testing and observability frameworks
What You'll Love About Us:
We have a whole host of perks for our people! From life essentials to nice-to-haves, there are more than a few good reasons to love working with us. We strive to ensure Pelago employees have equitable access to healthcare, wellbeing, time away, and then some.
- Generous and meaningful equity package
- Private Health Coverage
- Pension Plan
- Unlimited PTO Policy, Bank Holidays, & company wide “Me Time Days”
- Paid maternity, paternity, & new parent leave
- Flexible working environment
- Annual Learning and Development stipend to support continued learning and career development
- Wellness Reimbursement Program
- Access to Reproductive & Family Planning Care
- Substance Use Support for employees and family members
At this time, we are unable to offer visa sponsorship for this position.
Before you apply, see how we build.We write about our technical decisions, product philosophy, and the real challenges of scaling behavioral health. Read the blog → https://pelagohealth.ai/
The provided range reflects our US target salary range for this full-time position, which is part of our broader total compensation package, including incentive bonus program, stock options, comprehensive benefits, and incentive pay applicable to eligible roles. Individual pay within the range will vary based on a variety of factors like role-related experience and education, internal pay equity, and other relevant business factors. At Pelago, we are committed to an equitable and fair pay philosophy and review total compensation for our employees at least twice a year.
Top Skills
Pelago New York, New York, USA Office
1732 1st Ave, #20163, New York, New York, United States, 10128
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