About the Role

Lead a team to design, implement, and operate large-scale data structures for analytics and data science. Implement data ingestion routines using AWS technologies and big data tools, and collaborate with engineers and scientists to create efficient algorithms.

Key Responsibilities

• Lead team to design, implement, and operate large-scale data structures for analytics and data science
• Implement data ingestion routines using AWS technologies and big data tools
• Gather business requirements and translate into scalable data architecture solutions
• Collaborate with scientists to create algorithms for optimization, statistical analysis, and machine learning
• Hire, manage, and develop team members

Required Skills & Qualifications

Must Have:

• Master's degree in Computer Science, Statistics, Engineering or related field with 3 years experience, or Bachelor's with 5 years experience
• 2+ years experience in data modeling, data warehousing, and building ETL pipelines
• 2+ years experience writing complex SQL queries across large data sets
• 2+ years experience with AWS services including Redshift, S3, AWS Glue, EMR, or DynamoDB

Benefits & Perks

• Medical benefits
• Financial benefits
• Equity compensation
• Sign-on payments