Data Engineer Intern

Summary

VoxelCloud is a Los Angeles-based leader in artificial intelligence analysis of medical images. The Data Engineer intern will participate in the acquisition and manipulation of large-scale medical and healthcare data, supporting software developers and machine learning engineers while optimizing data systems.

Responsibilities

• Create and maintain optimal data pipelines to support machine learning research and development
• Identify, design, and implement internal process improvements: automating data QA, optimizing data delivery, re-designing infrastructure for greater scalability, etc
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS/AliCloud big data technologies
• Build analytics tools that utilize the data pipeline to provide actionable insights into product utilization and operational efficiency
• Keep our data separated and secure across national boundaries both locally and on cloud storage

Skills

• Proficient with at least one object-oriented/object function scripting languages: Python, Java, C++, Scala, etc
• Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases (Postgres)
• Experience building and optimizing ‘big data' data pipelines, architectures and data sets
• Solid understanding of information retrieval, statistics and machine learning
• Skillful with automation tasks, but willing to get hands dirty for quality control
• Detail-oriented, well organized and self-motivated with a continuous drive to learn, explore and challenge; good communication skills and team player
• Experience supporting and working with cross-functional teams in a dynamic environment
• MS, BA/BS degree in computer science, statistics or related field
• Prefer 1+ years in big data and related technology (e.g. DFS); experience with high-performance and scalable distributed system
• Prefer experience with AWS cloud services: EC2, EMR, RDS, Redshift

Qualifications

Must Haves

• Proficient with at least one object-oriented/object function scripting languages: Python, Java, C++, Scala, etc
• Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases (Postgres)
• Experience building and optimizing ‘big data' data pipelines, architectures and data sets
• Solid understanding of information retrieval, statistics and machine learning
• Skillful with automation tasks, but willing to get hands dirty for quality control
• Detail-oriented, well organized and self-motivated with a continuous drive to learn, explore and challenge; good communication skills and team player
• Experience supporting and working with cross-functional teams in a dynamic environment
• MS, BA/BS degree in computer science, statistics or related field

Nice to Haves

• Prefer 1+ years in big data and related technology (e.g. DFS); experience with high-performance and scalable distributed system
• Prefer experience with AWS cloud services: EC2, EMR, RDS, Redshift

Benefits

• An outstanding start-up culture;
• Transparent, collaborative work environment;
• Competitive compensation
• Excellent Medical, Dental, and Vision coverage
• 401k, paid Vacation and Holiday