Senior Data Pipeline Engineer

Radius is a fast-growing, venture-backed startup in the heart of San Francisco. Radius applies advanced data science to deliver the freshest, most accurate, and most comprehensive view on 20M+ US companies—from small businesses to the largest enterprises. We build cutting-edge machine learning solutions that help our customers discover markets, acquire customers, and measure performance through an app that’s intuitive, secure, and enterprise-ready.

We're looking for an experienced Data Software Engineer who enjoys developing highly scalable and robust code to process large data sets. You’ll be working with a team with diverse expertise in designing and deploying distributed systems for large-scale data processing. Your team will be responsible for the validation, standardization and featurization of the source data used to build Radius’s Business Graph.

• Help leading and mentoring the team’s data engineers and scientists to maximize their potential
• Architecting and implementing a pipeline to validate, standardize and featurize millions of records on a daily basis
• Working with the team’s data scientists to turn prototypes into production-ready Scala code
• Guiding the team members and codebase in data engineering and Scala best practices

Requirements:

• 5+ years in computer engineering and/or full lifecycle software engineering experience including: coding, testing, troubleshooting and deployment
• 2+ years in data engineering or cluster computing
• 6+ months production experience in Scala or Spark
• Comfortable working in a remote Linux environment and Cloud (EC2)

Additional Preferred Qualifications:

• Experience with Hadoop
• Experience spearheading efforts around data quality and improvement
• Experience working with data scientists or on data science problems