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
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