Senior Analytics Engineer (2) Remote (within locations) $110k - $140k / year

Caribou is building the engagement infrastructure for the home care workforce and the agentic layer for home care operations.

The home care workforce is the largest and fastest-growing workforce in America. We need more caregivers, more durable home care businesses, and higher-quality care delivered in the home.

The global population is aging, and the need for home care is growing each year. Unfortunately, at a time when care is needed more than ever, the home care industry is facing a crisis - a shortage of care workers.

At Caribou, we're on a mission to solve the caregiver crisis. When caregivers feel valued, recognized, and financially secure, they stay longer, deliver better care, and strengthen our communities.

Our platform helps care organizations attract, engage, and retain staff through data-driven recognition, rewards, and coordination tools that make caregivers' lives better - and agencies more successful. On average, our customers grow their staff by 25% in year one and reduce turnover dramatically.

Now, we're expanding what's possible. Caribou is deploying AI-powered agentic systems that work alongside agency coordinators - handling routine coordination, outreach, and administrative workflows so that staff can spend more time on what matters most: building and maintaining relationships with the caregivers and patients they serve. Better agency operations lead to a more stable caregiver workforce.

Caribou was recently recognized as one of The Globe and Mail's Top Growing Companies - in technology- and we're just getting started. Join us as we transform how care organizations recognize and retain the people who make care possible.

The Opportunity

We are looking for a Senior Analytics Engineer to join our data team as Caribou continues to scale across North America. You will report to the CTO and work across our full data stack - from dbt transformations in Snowflake to dashboards in Omni - supporting Product, Customer Success, and Engineering with trusted, well-documented data.

This is a hands-on role. You will build and maintain data models, create governed dashboards, own data documentation, and help establish the quality and testing infrastructure that a fast-growing company needs. You will work closely with stakeholders to translate business questions into reliable analytics while contributing to the engineering foundation that makes self-service possible.

Caribou is building solutions for an industry that has traditionally been left behind. Your work will directly impact the lives of those receiving and delivering care. We are still early in our journey, doubling annually in clients and revenue, and our data capabilities need to grow with us.

What You Will Be Doing

Data Modeling & Quality (40%)

• Build, maintain, and optimize dbt models across our core domains
• Implement and expand data quality tests
• Maintain trust tier labeling on all models
• Monitor automated test runs and investigate failuresContribute to pipeline optimization
• Help maintain the dev/staging environment and CI/CD pipeline for dbt

Dashboards & Stakeholder Analytics (35%)

• Build and maintain standardized dashboards in Omni for Product and Customer Success
• Handle incoming analysis requests through our structured intake process
• Collaborate with stakeholders to translate business questions into well-scoped data work
• Support Customer Success with client reporting and data verification
• Create reusable Omni topics and workbooks that enable self-service

Documentation & Enablement (25%)

• Own and maintain the data dictionary: field definitions, nuances, linkages, and trust status
• Write and update Omni topic guides so teams can self-serve effectively
• Maintain documentation while testing Claude workflows and other agentic tools to ensure accurate data acces
• Support analytics training for Product and CS teams
• Contribute to our Claude/Omni governance framework and agentic data strategy

About You

• You are comfortable working across both analytics and engineering - you can build a dashboard in the morning and optimize a dbt model in the afternoon
• You thrive in small teams where ownership is high and context-switching is normal
• You care about data quality and documentation, not just delivering the answer
• You can translate between technical and non-technical stakeholders - you know how to ask the right questions to scope a request
• You are comfortable with ambiguity and can prioritize when there is more work than time
• You are curious about AI-assisted analytics and interested in how tools like Claude can augment data work

Required Skills

• 5+ years of professional experience in analytics engineering, data analysis, or data engineering
• Strong SQL skills and 2+ years of experience with dbt (or equivalent transformation tool: SQLMesh, Dataform)
• Experience with Snowflake, BigQuery, Databricks, or Redshift in a production environment
• Experience building dashboards and working with BI tools (Om