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# Data Engineer

- **Company:** Motion Recruitment Partners LLC.
- **Location:** Addison, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, ARM Architecture, Continuous Integration, Information Engineering, Data Mart, Data Warehousing, Performance Tuning, Macros, Data Ingestion, Great Expectations (Foster Youth College-readiness and Support Program), Large Language Models, Snowflake, Prompt Engineering, Data Pipelines
- **Published:** October 5, 2026
- **Apply:** https://www.dice.com/job-detail/552d8411-99e8-494a-8016-6b1c6e34d721

## About the Role

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.

## Description

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