Find & Apply For Data / Data Mining Analyst Jobs in Spring, Texas

Browse jobs from a variety of sources below, sorted with the most recently published, nearest to the top. Click the title to view more information and apply online.

Skip to job details

Now viewing: Data Analytics Engineer

Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

Apply Offsite

Compunnel, Inc.

Data Analytics Engineer

Pay: Not specified

Posted: 6 days ago

Location: Spring, TX (Onsite)

Last Updated: 3 days ago

Hours: Full-Time

Expires: 10/11/2026

Job Description

Job Summary:

The IT - Data Modeler is responsible for building and maintaining the analytical foundation that supports enterprise reporting and analytics. This hands-on role focuses on DBT, Snowflake, SQL, and dimensional data modeling, with an emphasis on designing scalable analytical solutions that align with business processes and use cases. The role partners with technical and business stakeholders to deliver trusted, analytics-ready datasets from ingestion through transformation and into the semantic layer. Key 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 and make informed decisions regarding 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 data modeling standards.
Support data delivery from ingestion through transformation and into the semantic layer for reporting and analytics.
Document modeling decisions and collaborate with team members to improve data architecture and engineering practices. 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.
Deep understanding of fact and dimension modeling and analytical data warehouse concepts.
Strong hands-on experience with GitHub.
Ability to work effectively in a collaborative, cross-functional team environment.
Ability to communicate technical concepts effectively to both technical and non-technical stakeholders. Preferred Qualifications
Experience with Azure Data Factory (ADF).
Experience with Python or Power Query.
DP-203 or SnowPro certification.