Title: Data Engineer + ML
Location: Atlanta, GA(Hybrid) 3 days on-site
Job Requirement: ML-Focused Data Engineer
Experience:10+
Must-Have Skills:
- Strong proficiency in the Databricks toolchain, specifically Spark and Airflow.
- Hands-on experience with Feature Stores and Data Versioning within an ML lifecycle.
- Proven ability to be a technical leader on a small, high-impact team.
- Exceptional communication skills and the ability to work independently.
- Experience in Years: Senior-level (typically 6-8+ years in Data Engineering, with at least 2-3 years focused on ML infrastructure).
Specific Roles and Responsibilities:
- Design and maintain scalable data pipelines using Spark and Airflow.
- Build and manage Feature Stores to support Data Science use cases.
- Implement data versioning to ensure reproducibility of ML models.
- Serve as a technical lead, bridge the gap between raw data and model-ready features, and work closely with Data Scientists on AI use cases.
With Regards,
Vamsi Sattaru | US IT Technical Recruiter