Senior Analytics Engineer
About The Position
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.
Requirements
- 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
Responsibilities
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
