Netflix

Data Engineer 5 – Privacy

Netflix

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $170,000 - $720,000 per year

Job Level

SeniorLead

Tech Stack

JavaPythonScalaSparkSQL

About the role

  • Design and implement elegant frameworks to scalably meet various internal and consumer facing data privacy and legal needs
  • Engineer efficient, adaptable and scalable data pipelines to process structured and unstructured data
  • Develop a deep understanding of the data ecosystem at Netflix from a privacy lens
  • Partner with the privacy engineering teams to understand product goals and provide data which enables us to respond to customer and regulatory data requests
  • Mentor and inspire teammates while elevating the impact of the team
  • Enable Netflix to effectively manage legal and regulatory risk and compliance while maintaining a high standard of consumer data privacy expectations

Requirements

  • Passionate about consumer centric data privacy and risk mitigation for the business
  • Highly proficient in at least one of Java, Python or Scala with at least 8 years of software/data engineering experience
  • Proficient in advanced SQL and effective in a complex data environment
  • Highly experienced in engineering data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large scale data sets
  • Comfortable working cross functionally with multiple types of stakeholders groups
  • Able to successfully lead large, complex systems design and implementation challenges independently
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
  • 35 days annually for paid time off for full-time hourly employees
  • Flexible time off for full-time salaried employees

Applicant Tracking System Keywords

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

Hard skills
JavaPythonScalaSQLHivePrestoSparkFlinkdata engineeringdata pipelines
Soft skills
mentoringteam leadershipcross-functional collaborationcommunicationproblem-solvingadaptabilityinspirationstakeholder managementrisk mitigationconsumer centricity