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

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