Machine Learning Data Engineer
ARCHIVED
We can't find an active application page for this role right now. It may reopen or be listed elsewhere. Use Next Steps to search for an active apply link and similar live jobs.
A company is looking for a Machine Learning Data Engineer to build and maintain production data pipelines for algorithmic products.
Key Responsibilities
Design, build, and maintain production data pipelines using various orchestration frameworks
Optimize SQL transformations in Snowflake and manage dbt models for data transformation
Integrate and reconcile data from multiple sources while operationalizing ML model outputs
Required Qualifications
Master's degree or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field (or equivalent experience)
3-5 years of experience as an ML Engineer, Quantitative Engineer, or Research Scientist
Strong proficiency in Python and deep experience with SQL and cloud data warehouses, particularly Snowflake
Hands-on experience with workflow orchestration tools like Prefect or Airflow
Proficiency with dbt for SQL-based data transformation and testing