About The Role

The Attribution team develops software to collect and infer ownership information of Internet assets, such as IP addresses and domain names. Our team is looking for a data engineer to productionize prototype statistical models for attribution, and integrate new data sources into the attribution pipeline. We value experience in the networking and anti Internet-abuse communities.

Requirements:

• 3+ years of experience with:

• Scala or Python, both preferred

• Distributed systems (e.g. Spark, Hadoop)

• Database systems (e.g. Postgres, MySQL)

• Experience with the following is preferred:

• IP (v4/v6) allocation and addressing conventions

• DNS conventions and best practices

• Anti-abuse investigations

• Bachelor’s degree (CS, CE/EE, Math, or Statistics preferred)

Traits

• Comfortable working as part of a distributed team

• Excellent communication and teamwork skills

• Ability to make data driven decisions

• Ability to do independent research

Interview Process

• Phone conversation with a Talent Acquisition team member to learn more about your experience and career objectives. 30 minutes.

• Technical interview with hiring manager via video (preferred). Will include some coding. 30-45 minutes.

• 1-2 technical interviews with data engineer and data science team members via video or in person. 1-1.5 hours for both.

• Final meeting with engineering leadership via video or in person. 1 hour.