Cognite

Data Engineer II

Cognite

full-time

Posted on:

Location Type: Hybrid

Location: Phoenix • Arizona • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

ETLPythonSQL

About the role

  • Design, develop and implement data infrastructure and best-in-class pipelines that collect, connect, centralize and curate data from various internal and external data sources
  • Ensure that architectures support the needs of the business
  • Recommend ways to improve data reliability, efficiency
  • Collaborate with product development to turn customer needs into potential product offerings
  • Prototype data visualization and dashboards

Requirements

  • 4+ years of experience in a Data intense role or relevant college course work
  • Experience in Oil &Gas or Manufacturing is a huge plus
  • BS or MS degree in computer science or related field
  • Loves to code, passion for coding, and enjoys sharing that knowledge with others
  • Strong understanding of data analysis or data science
  • Experience working with data technologies, such as: ETL, SQL, Python
  • Ability to work on both internal and external client-facing projects and communicate with key stakeholders
  • Ability to travel onsite to meet with and engage with clients
Benefits
  • Competitive Compensation including base plus bonus
  • 401(k) with 4% employer matching
  • Health, Dental, Vision & Disability Coverages with premiums fully covered for employees and all dependents
  • Unlimited PTO
  • 18 Company Holidays including the week between Christmas & New Years
  • Parental Leave Program
  • Employee Stock Purchase Program (ESPP)
  • Employee Referral Program
  • Paid mobile phone and WiFI
  • Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries
  • Join a team of 60 different nationalities
  • A highly modern and fun working environment with sublime culture across the organization

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data infrastructuredata pipelinesdata visualizationETLSQLPythondata analysisdata science
Soft skills
collaborationcommunicationproblem-solvingknowledge sharing
Certifications
BS in computer scienceMS in computer science
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