Data Engineer

Hybrid | Miami, FL or Austin, TX - need to be local - relocation not offered
U.S. Citizens & Green Card Holders Only
Build the Future of Data at a Growing Company

Looking to take the next big step in your data engineering career?

We're partnering with a rapidly growing organization that is investing heavily in its modern data platform and analytics capabilities. This is an opportunity for a Data Engineer with strong SQL, Python, and dbt skills to join a team that's building a scalable cloud-based data environment from the ground up.

You’ll work alongside experienced data professionals and implementation partners to develop pipelines, transform data, and help create the foundation that powers reporting, analytics, and future AI initiatives across the business.

This role is perfect for someone who enjoys solving data problems, learning modern technologies, and making a visible impact on a growing organization.

What You’ll Do

• Build and maintain data pipelines using SQL, Python, and modern ELT practices
• Develop and optimize dbt models that support analytics and business reporting
• Integrate data from multiple business systems into a centralized cloud data warehouse
• Improve data quality, reliability, and accessibility across the organization
• Partner closely with analytics and business teams to deliver trusted datasets
• Support the implementation of a new Snowflake environment and modern data platform
• Contribute to data governance, documentation, and best practices as the platform grows

Technologies You’ll Work With

• SQL
• Python
• dbt
• Snowflake
• Fivetran
• Domo
• Modern Cloud Data Warehousing
• ELT / Data Transformation

What We’re Looking For

• Approximately 3+ years of experience in Data Engineering, Analytics Engineering, or a related field
• Strong SQL skills with experience working with large datasets
• Hands‑on Python experience for data processing and automation
• Experience building and maintaining dbt models
• Exposure to data warehousing concepts and cloud-based data platforms
• Understanding of ETL/ELT processes and data transformation best practices
• Strong problem‑solving skills and desire to learn in a fast‑paced environment
• Excellent communication skills and ability to collaborate across technical and business teams

Nice to Have

• Snowflake experience
• Fivetran experience
• Experience supporting BI or analytics teams
• Exposure to data governance or data quality initiatives
• Experience working in a cloud data environment

Why Join?

• Work on a modern data stack centered around SQL, Python, dbt, and Snowflake
• Be part of a major data transformation initiative from the beginning
• Gain exposure to enterprise-scale data engineering projects
• Work directly with experienced leaders and consultants who can accelerate your growth
• High visibility and real ownership of impactful projects

Clear opportunities for career advancement as the data team expands

Logistics

Miami, FL or Austin, TX - local candidates only

Up to $165,000 Base Salary

U.S. Citizen or Green Card Holder required

Target Start: October 2026

Ideal Candidate

A Data Engineer with around 3 years of experience who is confident with SQL, Python, and dbt, eager to grow in a modern cloud environment, and excited by the opportunity to help build something from the ground up rather than maintain legacy systems.

Desired Skills and Experience

• Approximately 3+ years of experience in Data Engineering, Analytics Engineering, or a related field
• Strong SQL skills with experience working with large datasets
• Hands‑on Python experience for data processing and automation
• Experience building and maintaining dbt models
• Exposure to data warehousing concepts and cloud-based data platforms
• Understanding of ETL/ELT processes and data transformation best practices
• Strong problem‑solving skills and desire to learn in a fast‑paced environment
• Excellent communication skills and ability to collaborate across technical and business teams
• Snowflake experience
• Fivetran experience
• Experience supporting BI or analytics teams
• Exposure to data governance or data quality initiatives
• Experience working in a cloud data environment