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    $150,000 - $185,000 per year
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This Jobot Job is hosted by: Christina FinsterAre you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.Salary: $150,000 - $185,000 per year

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?

  • 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 useCloud platform - Google Cloud PlatformProgramming languages - Java, Python, and KotlinData warehouse & databases - BigQuery, PostgresDistributed processing frameworks - Dataflow (Apache Beam) and Apache SparkOrchestration - Airflow

RequirementsProfessional data engineering experienceExperience at a sub-200 person companyStrong Object-oriented programming understandingExpert SQL knowledgeYou communicate as well as you codeYou can simplify complex problems into simple solutionsYou balance a strong sense of ownership and responsibility in your work with collaboration and team alignmentYou are comfortable making trade-offs between quality, complexity, and speed-of-delivery

BonusProven experience taking a large project from ideation to productionExperience leading greenfield projectsPast surface knowledge of databases, data warehouses, distributed computing frameworks, etc. for optimization and leveraging correct technologiesWorking knowledge of cloud-native data engineering infrastructure

Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

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