Data Engineer

Data Engineer

Richardson, TX (4 days onsite) | Up to $175,000 Base + Bonus

We're partnering with a well-established, financially strong organization undergoing a major enterprise data transformation. Backed by executive leadership, this is a rare opportunity to join at the ground level of a greenfield data platform initiative and help shape the future state of data, analytics, and AI across the business.

What You'll Do

• Build and scale modern data pipelines and data models
• Develop ELT processes and data products using cloud-native technologies
• Partner with stakeholders to translate business requirements into scalable data solutions
• Drive data quality, testing automation, and platform best practices
• Contribute to the buildout of an enterprise-wide data platform supporting high-impact business initiatives

What We're Looking For

• 7-8+ years of Data Engineering experience
• Strong Python and SQL skills
• Hands-on experience with Snowflake and dbt (required)
• Experience building modern ELT/data modeling solutions in cloud environments
• Familiarity with CI/CD, Terraform, and modern data engineering practices
• Proven track record of delivering scalable, production-grade data solutions

Why This Role?

• Greenfield environment with the opportunity to influence architecture and standards from day one
• Executive-sponsored transformation with significant investment and long-term commitment
• Collaborative, highly visible team focused on modern data and AI-driven engineering
• Strong career growth potential as the organization continues to scale its data function

Please note: Sponsorship and visa transfers are not available for this position.

This role is ideal for a hands-on builder who wants to make a meaningful impact in a large-scale modernization effort rather than simply maintain existing systems.

Desired Skills and Experience

7-8+ years of Data Engineering experience
Strong Python and SQL skills
Hands-on experience with Snowflake and dbt (required)
Experience building modern ELT/data modeling solutions in cloud environments
Familiarity with CI/CD, Terraform, and modern data engineering practices
Proven track record of delivering scalable, production-grade data solutions