Senior Analytics Engineer

We’re looking for a Senior Analytics Engineer who thrives at the intersection of business logic and scalable data modeling.

In this role, you won’t just transform data — you’ll define how the business understands it.

You’ll partner with stakeholders, data engineers, and BI teams to build clean, trusted, analysis-ready data assets in Snowflake using dbt and SQL. You’ll apply dimensional modeling best practices, clarify ambiguous requirements, and create reusable data models that scale with the business.

This is a high-autonomy role for someone who wants to own analytical domains end-to-end and influence how data is structured across the organization.

NOTE This role is hybrid to our Dallas, TX location and will require being on-site at our office 3 days a week.

What You Will Do:
• Lead the design and development of scalable analytical data models in Snowflake
• Build clean, well-documented datasets using dbt, SQL, and Python
• Translate complex business processes into intuitive data structures
• Implement business logic, derived metrics, and reusable domain data marts
• Establish and evolve data quality standards
• Apply dimensional modeling best practices for usability and performance
• Operate independently from requirements through delivery
• Mentor and guide analytics engineers and analysts

What You Bring :
• 7+ years in analytics engineering, data modeling, or transformation work
• Advanced SQL skills and hands-on dbt experience
• Strong understanding of dimensional modeling
• Experience owning analytical domains end-to-end
• Ability to navigate ambiguity and clarify business requirements
• Experience mentoring others
• Experience with Snowflake or modern cloud data warehouses

Why This Role Is Exciting:
• High impact, business-facing ownership
• Complex modeling challenges
• Clear influence over data standards
• Strategic partner to both technical and business teams