Data Engineer

Tech Breakdown 40% Snowflake Administration & Optimization 30% dbt Development & Data Modeling 20% Data Pipeline Development & ELT Management 10% AI & Advanced Analytics Initiatives

Daily Responsibilities Own and optimize the Snowflake platform and data warehouse Develop and maintain dbt models, data pipelines, and data marts Manage data ingestion and integrations through Fivetran and related tools Ensure data quality, monitoring, and pipeline reliability Partner with business stakeholders and consulting teams to deliver scalable analytics solutions Evaluate and implement AI-driven capabilities, including Snowflake Cortex and LLM integrations Drive data engineering best practices, governance, and platform growth throughout the organization

7+ years of Data Engineering experience Strong hands-on experience with Snowflake, including administration, optimization, and performance tuning Advanced dbt experience with ownership of production projects (models, tests, snapshots, macros, CI/CD, and environment management) Experience with Fivetran, Airbyte, Stitch, or similar ELT/integration platforms Strong understanding of data warehousing concepts and dimensional data modeling Desired Skills & Experience

• Snowflake Cortex Experience
• AI/LLM integrations and prompt engineering experience
• Experience with Great Expectations, Monte Carlo, Elementary, Soda, or similar data quality tools.
• SnowPro Certification
• Experience in multi-site or rapidly growing organizations through M&A activities.

You will receive the following benefits:

• Eligible for salary bonus
• Medical, Dental & Vision Insurance
• PTO & Paid Holidays
• 401(k) with Company Match
• Hybrid Schedule (3 Days Onsite)
• Strong Growth & Leadership Opportunity

Seeking a Senior Data Engineer for a full-time, hybrid role in Addison, TX (3 days onsite). This position will play a key role in building and ultimately owning a modern data platform for a growing home services organization, leveraging Snowflake, dbt, Fivetran, Azure, and AI technologies. The ideal candidate will help drive enterprise reporting, data warehousing, and future AI initiatives across a multi-site business operating nationwide.