Data Engineer

Summary

Join our team as a Data Engineer to create and maintain optimal data pipeline architecture, assemble large complex data sets, and contribute towards shaping the vision of our business.

Requirements

• BS in Computer Science (or in another quantitative discipline); 4+ years of working experience
• Experience working in Python in a professional environment
• Desire to learn new skills and tools (e.g. Redshift, Tableau, AWS Lambda, etc.)
• Experience using data orchestration frameworks such as Airflow, Dagster, Prefect
• Exposure working with a cloud-computing environment (e.g. AWS EC2)
• Comfortable with Linux, including developing shell scripts

Responsibilities

• Design, build, and implement data systems that fuel our ML and AI models
• Develop tools to extract and process client data from different sources and tools to profile and validate data
• Work cross functionally with data scientists to transform large amounts of data and store it in a format to facilitate modeling
• Contribute to production operations, data pipelines, workflow management, reliability engineering, and much more
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies

Benefits

• Full benefits package including medical, dental, vision, 401k, disability, life insurance, and more
• Unlimited vacation days and ample holidays- we all work hard and take time for ourselves when we need it
• Competitive salary and generous stock options - we all get to own a piece of what we’re building
• Ample opportunities to learn and take on new responsibilities
• Paid parental leave