Snowflake AI Engineer

Remote • Posted 3 days ago • Updated 1 day ago
Contract W2
12 Months
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Artificial Intelligence
  • Data Science
  • Python
  • Machine Learning (ML)
  • Snowflake

Summary

Required Qualifications

  • Prior professional experience working at an asset manager, investment manager, hedge fund, or closely related buy-side investment firm — this is a firm requirement, not a nice-to-have
  • Working knowledge of investment management concepts and data: securities master/reference data, portfolio holdings and performance, market data, benchmarks, and/or investment research workflows
  • Understanding of the regulatory, compliance, and data governance considerations specific to investment management (e.g., MNPI/information barriers, data lineage, model risk management)
  • 4+ years of experience in software engineering, data engineering, or ML engineering roles
  • Hands-on production experience with Snowflake (data modeling, performance tuning, Snowpark, security/role-based access)
  • Strong programming skills in Python (SQL fluency required as well)
  • Experience building and deploying machine learning models or AI applications in production environments
  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform) and modern data architecture patterns
  • Experience with version control, CI/CD, and software engineering best practices
  • Strong communication skills and ability to work cross-functionally with investment professionals (portfolio managers, analysts, traders) as well as technical stakeholders


Preferred Qualifications

  • Experience with LLM application development (prompt engineering, RAG architectures, agentic workflows, vector databases such as Pinecone/Weaviate/Snowflake Cortex Search)
  • Experience with orchestration tools (Airflow, dbt, Dagster)
  • Background in financial services, asset management, or another regulated industry
  • Exposure to MLOps tooling (MLflow, Kubeflow, SageMaker, etc.)
  • Bachelor''s or advanced degree in Computer Science, Engineering, Data Science, or related field

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10267472
  • Position Id: 9033120
  • Posted 3 days ago
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