Netflix

Data Engineer – Platform

Netflix

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

Visit company website
✨ AI Apply
Apply

Salary

💰 $170,000 - $720,000 per year

Job Level

Mid-LevelSenior

Tech Stack

AWSCloudEC2JavaPythonScalaSparkSQL

About the role

  • Engineer efficient, adaptable, and scalable data pipelines to process structured and unstructured data
  • Develop a deep understanding of the cloud infrastructure domain at Netflix
  • Partner with the platform engineering and finance teams to understand platform efficiency goals and provide data that will empower teams to improve efficiency
  • Maintain and rethink existing datasets and pipelines
  • Enable smart analytics by building robust, reliable, and useful data sets that can power various analytic techniques like regression, classification, clustering, etc
  • Join a stunning team of data engineers with diverse skill sets, partnering closely with analytics engineering and data science counterparts

Requirements

  • Highly proficient in at least one of Java, Python or Scala (Scala preferred)
  • At least 6 years of data engineering experience
  • Advanced-level SQL skills in a complex data environment
  • At least 4 years of experience in engineering data pipelines using big data technologies (Spark, Presto, Flink, etc.) on medium to large-scale data sets
  • Comfortable working cross-functionally with multiple types of stakeholders and groups
  • Able to successfully lead large, complex systems design and implementation challenges independently
  • Prior experience with AWS cloud resources (S3, EC2, RDS etc) strongly preferred
Benefits
  • Health Plans
  • Mental Health support
  • 401(k) Retirement Plan with employer match
  • Stock Option Program
  • Disability Programs
  • Health Savings and Flexible Spending Accounts
  • Family-forming benefits
  • Life and Serious Injury Benefits
  • Paid leave of absence programs
  • Flexible time off for salaried employees

Applicant Tracking System Keywords

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

Hard skills
JavaPythonScalaSQLSparkPrestoFlinkdata engineeringdata pipelinesbig data technologies
Soft skills
cross-functional collaborationleadershipproblem-solvingcommunicationadaptabilityefficiency improvementteamworkanalytical thinkingstakeholder managementindependence