Why This Role Stands Out
This hybrid Data Engineer role offers fantastic opportunities to grow your MLOps expertise within a reputable consulting firm, directly impacting large-scale retail projects. You'll thrive here if you have a strong foundation in data engineering and ML pipeline experience, and you're eager to leverage your skills in an enterprise setting. Apply now to join a dynamic team and advance your career!
Quick Overview
Job Description
Job Description
Data Engineer - MLOps
Sunnyvale, CA
Strong Data Engineering experience with Python, SQL, PySpark
Hands-on MLOps / ML pipeline experience
Experience with Databricks, Airflow, and cloud platforms
Strong background in ETL/ELT, data pipelines, and workflow orchestration
Experience supporting machine learning models in production
CI/CD, Docker, Kubernetes, and MLflow experience is a plus
Walmart/retail/e-commerce domain experience is a strong advantage
Must be comfortable working in a large-scale, enterprise environment with high-volume data
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