Data Engineer (Snowflake, Python, AI/ML Data Pipelines)

Motion Recruitment; Dallas (TX); Remote; USD 120,000 - 150,000; Full time

Job summary

Motion Recruitment seeks a Data Engineer for a fully remote, 12-month contract to build modern data solutions using Snowflake, Python, dbt, Airflow, and AI/ML technologies that power enterprise analytics and next-generation AI applications.

Candidates who convert to full-time should be in or willing to relocate to one of the organization\'s hub locations in Atlanta, GA; La Vista, NE; Oakdale, MN; Scottsdale, AZ; or St. Petersburg, FL.

Qualifications

• Strong SQL development experience.
• Python and/or Scala for data pipeline development.
• Experience with Snowflake and dbt.
• Experience with Airflow or similar workflow orchestration.

Responsibilities

• Hands-on data engineering and building data pipelines.
• Collaborate across teams on AI/ML data needs and analytics initiatives.
• Contribute to architecture and planning for scalable data platforms.

Skills

SQL development

Python/Scala for data pipelines

Tools

Snowflake

dbt

Airflow

Job description

A leading wealth management technology firm is seeking a Data Engineer to join their growing AI and Data team. This fully remote contract opportunity offers the chance to build modern data solutions leveraging Snowflake, Python, dbt, Airflow, and AI/ML technologies that support enterprise-scale analytics and next-generation AI applications. Candidates who convert to full-time should be in or willing to relocate to one of the organization's hub locations in Atlanta, GA; La Vista, NE; Oakdale, MN; Scottsdale, AZ; or St. Petersburg, FL.

This role sits at the center of data engineering and artificial intelligence initiatives. The team is building the infrastructure behind advanced AI solutions, including RAG applications, vector search, and machine learning systems. They're looking for an engineer who enjoys solving complex data challenges while working with cutting-edge AI technologies. You'll have the opportunity to help shape the future of data platforms within a highly respected financial services organization while gaining hands-on experience with modern AI architectures and enterprise-scale data environments.

Contract Duration: 12 Months

Required Skills & Experience

• Strong SQL development experience
• Python and/or Scala for data pipeline development
• Snowflake
• dbt for data transformation and orchestration
• Airflow or similar workflow orchestration tools

Desired Skills & Experience

• Scala experience
• Experience supporting production AI/ML systems
• Experience with cloud-native data platforms
• Data governance and data quality expertise
• Knowledge of large language models and AI infrastructure

What You Will Be Doing

Tech Breakdown

• 40% Snowflake, SQL & Data Engineering
• 25% Python Development
• 20% AI/ML Data Pipelines & RAG
• 15% dbt & Airflow Orchestration

Daily Responsibilities

• 80% Hands-On Engineering
• 10% Cross-Functional Collaboration
• 10% Architecture & Planning

Posted By: Tariq Othman