Analytics Engineer – Snowflake/DBT

Raise; Spring (TX); On-site; USD 83,000 - 96,000; Full time

Job summary

Raise is seeking an Analytics Engineer with hands-on DBT, Snowflake, and dimensional modeling expertise to build analytics-ready datasets and supporting architectures. You will work closely with Data Engineering, BI, and business stakeholders to translate requirements into scalable solutions.

You will design star schemas, develop DBT models, optimize Snowflake workloads, and promote best data practices across cross-functional teams.

Qualifications

• Hands-on DBT development and testing.
• Strong Snowflake and SQL optimization experience.
• Proven experience designing star-schema dimensional models.
• Version control with GitHub for collaboration.

Responsibilities

• Design, develop, and maintain star-schema data models.
• Build and test DBT models to deliver analytics-ready datasets.
• Optimize Snowflake SQL workloads and data structures.
• Collaborate with Data Engineers, BI, and stakeholders to translate requirements.

Skills

DBT development

Snowflake

SQL optimization

GitHub

Dimensional modeling

Tools

Snowflake

DBT

GitHub

Job description

Analytics Engineer – Snowflake/DBT

• Pay Rate: $60 - $70/hour (on W2)
• Contract Length: 12 months
• Location: Spring, TX 77389

Overview

We are looking for a hands‑on Analytics Engineer with strong experience in DBT, Snowflake, and dimensional data modeling to build and maintain the analytical foundation that supports enterprise reporting and analytics. This role owns the design and delivery of trusted, analytics‑ready datasets, partnering closely with Data Engineering, BI, and business stakeholders to translate requirements into scalable analytical solutions.

Responsibilities

• Design, develop, and maintain star‑schema data models, including fact and dimension tables
• Build and support DBT models and testing frameworks to deliver trusted, analytics‑ready datasets
• Develop, optimize, and troubleshoot data structures and SQL workloads in Snowflake
• Apply data modeling best practices, making informed decisions on dimensional design, normalization, and denormalization
• Partner with Data Engineers, BI Developers, Product Owners, and business stakeholders to translate requirements into scalable analytical solutions
• Participate in design discussions, knowledge sharing, and peer reviews to promote consistent modeling standards across the team
• Support data delivery from ingestion through transformation and into the semantic layer for reporting and analytics
• Document modeling decisions and collaborate with the team to continuously improve data architecture and engineering practices
• Manage version control and collaborative development workflows using GitHub

Required Qualifications

• Strong, hands‑on experience with DBT development and testing
• Strong experience with Snowflake and SQL optimization
• Proven experience designing and implementing star‑schema dimensional models
• Working proficiency with GitHub for version control and collaborative development
• Deep understanding of fact and dimension modeling and analytical data warehouse conceptsAbility to work effectively in a collaborative, cross‑functional team environment and communicate technical concepts to both technical and non‑technical stakeholders

Preferred Qualifications

• Azure Data Factory (ADF)
• Python or Power Query
• DP-203 or SnowPro certification

Ideal Candidate:

• A collaborative analytics engineer who enjoys working with teammates and stakeholders to transform complex source data into well‑designed star‑schema models using DBT and Snowflake, while contributing to a strong engineering culture and data modeling best practices.

Looking for meaningful work? We can help

Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity.

We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.

We have a dedicated webpage for accommodations where you can learn more about what we offer, and request accommodation: https://raise.jobs/accommodations/

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