Netflix

Analytics Engineer

Netflix

Remote
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

Are you an experienced Analytics Engineer looking for an exciting opportunity to join a revolutionary streaming service? At Netflix, our mission is to entertain the world, and our Analytics team plays an integral role in helping us achieve that goal. As an Analytics Engineer, you'll be responsible for developing and maintaining data pipelines to support our data-driven culture.We're looking for someone who is passionate about data engineering and has the technical skills and experience to join our world-class team. To be successful in this role, you should have experience in designing, building, and maintaining large scale data pipelines. You should also be comfortable working with a variety of data engineering technologies such as SQL, Python, AWS, and BigQuery.If you have strong problem-solving skills and an aptitude for learning new technologies, we want to hear from you. Apply today and become part of a company that is changing the way the world consumes entertainment.

Responsibilities:

  1. Design, build, and maintain large-scale data pipelines.
  2. Collaborate with other teams to ensure data accuracy and consistency.
  3. Utilize data engineering technologies such as SQL, Python, AWS, and BigQuery.
  4. Monitor and review data pipelines for any issues and troubleshoot any potential problems.
  5. Develop and implement data strategies and quality assurance processes.
  6. Perform data analytics and develop insights to inform business decisions.
  7. Stay up to date with the latest data engineering technologies and trends.
  8. Provide technical support and mentorship to team members.
Where is this job?
This job opening is listed as 100% remote
Job Qualifications
  • R

  • Excellent Problem-Solving Skills

  • Python

  • Strong Communication And Interpersonal Skills

  • Ability To Work Independently And In A Team

  • Familiarity With Data Analysis And Visualization Tools

  • Proficient In Sql

  • And Other Programming Languages

  • Experience With Machine Learning And Big Data Technologies

  • Knowledge Of Software Engineering Principles

  • Understanding Of Statistics And Predictive Modeling

Required Skills
  • Sql

  • Python

  • Business Intelligence

  • Data Analysis

  • Big Data

  • ETL

  • Machine Learning

  • Data warehousing

  • Data Visualization

  • Cloud Computing

  • Data Mining

  • Dashboarding

  • Modeling

  • Statistics

  • Streaming analytics

Soft Skills
  • Communication

  • Leadership

  • Time management

  • Interpersonal Skills

  • creativity

  • Organization

  • flexibility

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Analytics Engineer is $75,000 to $115,000 per year. The specific salary of an individual Analytics Engineer may vary depending on their experience, skills, qualifications, location, and employer.

Additional Information
Netflix is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedNovember 6th, 2023
Apply BeforeMay 22nd, 2025
This job posting is from a verified source. 
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About Netflix

Netflix, Inc. operates as an Internet subscription service company, which provides subscription service streaming movies and TV episodes over the Internet and sending DVDs by mail. The company operates its business through the following segments: Domestic streaming, International streaming and Domestic DVD. Netflix obtains content from various studios and other content providers through fixed-fee licenses, revenue sharing agreements and direct purchases. It markets its service through various channels, including online advertising, broad-based media, such as television and radio, as well as various partnerships.

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