A bit about us:

Founded in 2016, We are on a mission to determine the net worth of everyone on the planet. More than 400 organizations use us to identify and engage their most promising constituents. Based in San Francisco and backed by Bullpen Capital, Bonfire Ventures, Industry Ventures, TenOneTen Ventures. ValueStream Ventures, and Auren Hoffman.

Data Science is at the core of the company DNA. Our mission is to make accurate data accessible to brands across the world.

As a member of the data science team, the data scientist will work on groundbreaking R&D projects to leverage massive structured, unstructured, transactional and real-time data sets from a variety of sources.

Are you ready to drive and scale data science in a hyper-growth environment?

Why join us?

Perks
  • Small team = opportunity for a big impact
  • Compensation includes equity and a competitive salary
  • Excellent company-sponsored benefits
  • Shiny new laptop
  • Monthly team events
  • Fully stocked kitchen
  • Team is currently remote with offices in San Francisco and Downtown Denver Post Covid

Job Details

Some technologies you will use
Cloud platform - GCP
Programming languages - Java, Python, and Kotlin
Data warehouse & databases - BigQuery, Postgres
Distributed processing frameworks - Dataflow (Apache Beam) and Apache Spark
Orchestration - Airflow

Requirements
Professional data engineering experience
Experience at a sub-200 person company
Strong Object-oriented programming understanding
Expert SQL knowledge
You communicate as well as you code
You can simplify complex problems into simple solutions
You balance a strong sense of ownership and responsibility in your work with collaboration and team alignment
You are comfortable making trade-offs between quality, complexity, and speed-of-delivery

Bonus
Proven experience taking a large project from ideation to production
Experience leading greenfield projects
Past surface knowledge of databases, data warehouses, distributed computing frameworks, etc. for optimization and leveraging correct technologies
Working knowledge of cloud-native data engineering infrastructure