Senior Data & ML Engineer I

Overview

Role involves designing and optimizing data pipelines and collaborating across teams.

Ideal candidate has 5+ years in Data Engineering with strong skills in SQL, Python, and data pipeline technologies.

Locations

• United States

Requirements

• 5+ years experience in Data Engineering
• Proven experience with batch and streaming pipelines
• Strong SQL and Python skills
• Solid understanding of data modeling and architecture
• Hands-on experience with Snowflake, Azure, Databricks, and dbt
• Exposure to MLOps and machine learning workflows
• Experience in microservices architecture
• Familiarity with NoSQL databases

Responsibilities

• Architect and scale streaming pipelines
• Design and optimize batch processing workflows
• Build robust ELT and CDC pipelines
• Implement observability and testing frameworks
• Implement feature pipelines for ML models
• Develop self-service patterns for analytics
• Maintain and evolve Delta Lake environment
• Collaborate with cross-functional teams

Benefits

• Flexible working culture
• Incentive programs
• 20 days PTO
• Generous paid parental leave
• 100% employer covered insurance
• Learning and wellness subscription stipend
• Company-sponsored 401k match