Analytics Engineer

Creative Solutions Services, LLC; Houston (TX); On-site; USD 90,000 - 120,000; Part time

Benefits offered by this job

Onsite in The Woodlands

6–12 month contract

Job summary

Creative Solutions Services, LLC seeks an Analytics Engineer for The Woodlands, TX. The role focuses on building analytics-ready datasets using DBT and Snowflake, designing star-schema models, and collaborating with data, BI, and product teams to deliver scalable analytics solutions.

The ideal candidate will own data architecture decisions, optimize SQL workloads, and contribute to engineering best practices in a fast-paced environment.

Qualifications

• Hands-on DBT development and testing experience.
• Strong Snowflake experience and SQL optimization.
• Proven ability to design star-schema dimensional models.
• GitHub version control and collaborative development experience.
• Deep understanding of fact and dimension modeling and analytics DW concepts.
• Ability to translate requirements to scalable analytics solutions.

Responsibilities

• Design, develop, and maintain star-schema data models (fact & dimensions).
• Build and support DBT models and testing frameworks for analytics datasets.
• Develop, optimize, and troubleshoot Snowflake SQL workloads.
• Apply dimensional modeling best practices for analytics enablement.
• Collaborate with Data Engineers, BI, and business stakeholders to translate requirements.
• Document modeling decisions and promote consistent standards.

Skills

DBT development

Snowflake

Dimensional modeling

Analytics DW concepts

GitHub collaboration

SQL optimization

Cross-functional teamwork

Tools

DBT

Snowflake

Azure Data Factory

Python

Job description

Seeking an Analytics Engineer - The Woodlands, TX

Must be a US Citizen or Green Card holder - No C2C or Third Parties

Location: Must be local to Houston, TX - 5 days a week onsite required at The Woodlands.

Employment Type: 6-12 month contract with probability of extension

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

Qualifications:

Required:

• 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 concepts
• Ability to work effectively in a collaborative, cross-functional team environment and communicate technical concepts to both technical and non-technical stakeholders

Preferred:

• 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.