Senior Analytics Engineer

Job Summary

Working remotely, the full-time Senior Analytics Engineer will design and build reusable components for machine learning model calibration, manage data pipelines, and optimize data for ingestion and consumption across multiple engineering teams.

Key responsibilities

• Model raw data into clean, reusable datasets to facilitate stakeholder access and understanding
• Build ETL pipelines for processing large datasets and maintain online and offline feature stores for ML training and inference
• Develop and maintain documentation that visualizes data flow and ensures consistency in data definitions across the organization

Required qualifications

• Over 4 years of hands-on experience in data engineering, analytics, or data science, particularly with machine learning pipelines
• Bachelor's degree in statistics, mathematics, computer science, software engineering, or related field; Master's degree is a plus
• Proficiency in SQL and Python, with practical experience in data orchestration tasks
• Experience with tools for building data pipelines such as Snowflake, Amazon Redshift, and Google BigQuery
• Familiarity with software engineering best practices, including version control and CI/CD processes