Data Engineer I: Build Scalable Cloud Data & AI

varsitybrands; Farmers Branch (TX); On-site; USD 65,000 - 90,000; Full time

Job summary

Varsity Brands in Farmers Branch, TX is seeking an entry‑level Data Engineer I to join our enterprise data platform team. You will contribute to building data pipelines, data transformations, and data products that support analytics, reporting, and AI initiatives.

Under guidance, you will test, optimize, and maintain ETL processes, write SQL queries, and collaborate across engineering, BI, and analytics teams to deliver reliable data solutions.

Qualifications

• Foundational understanding of data engineering principles and data platforms.
• Basic understanding of relational databases, data modeling and integration concepts.
• Familiarity with cloud data platforms and modern data engineering environments.
• Basic understanding of data governance and metadata concepts.

Responsibilities

• Develop, test, and maintain data pipelines, transformations, and data integration processes using established standards.
• Assist in building and maintaining data products that support analytics, reporting, and AI use cases.
• Write, optimize, and troubleshoot SQL queries and data transformations.
• Participate in code reviews and incorporate feedback to improve quality and performance.
• Troubleshoot low‑complexity data pipeline and data quality issues and escalate when needed.
• Collaborate with Data Engineering, Analytics Engineering, BI, and stakeholders to deliver reliable data solutions.
• Follow engineering practices for testing, version control, CI/CD, security, and documentation.

Skills

SQL

Python

Git

Data pipelines

ETL/ELT

Snowflake

Cloud data platforms

Job description

Varsity Brands in Farmers Branch, TX is seeking an entry‑level Data Engineer I to join our enterprise data platform team. You will contribute to building data pipelines, data transformations, and data products that support analytics, reporting, and AI initiatives.

Under guidance, you will test, optimize, and maintain ETL processes, write SQL queries, and collaborate across engineering, BI, and analytics teams to deliver reliable data solutions.