Netflix

Analytics Engineer

Netflix

Los Gatos, CA, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

We are seeking an experienced and highly motivated Analytics Engineer to join Netflix's Analytics team. You will be responsible for developing, maintaining, and optimizing data architectures to support the company's data-driven decision-making. The ideal candidate for this position is a self-starter and problem solver with a passion for data and analytics and a strong technical background.To be successful in this role, you must have a Bachelor's degree in Computer Science, Information Technology, Mathematics, or a related field. You should be proficient in data engineering tools such as SQL, Python, or Java and have experience with data analysis, data visualization, and machine learning. Strong communication and interpersonal skills are essential as you will be working closely with cross-functional teams to ensure data accuracy and integrity. Additionally, experience working with cloud computing platforms such as Amazon Web Services or Google Cloud Platform will be a plus.If you have the qualifications listed above and are eager to join an innovative and fast-paced team, we would love to hear from you!

Responsibilities:

  1. Develop and maintain data architectures to support data-driven decision-making.
  2. Optimize data architectures for efficient storage and access.
  3. Analyze data and perform data visualizations to understand patterns and trends.
  4. Utilize machine learning techniques to improve data analysis.
  5. Collaborate with cross-functional teams to ensure data accuracy and integrity.
  6. Develop and implement data engineering tools such as SQL, Python, and Java.
  7. Monitor cloud computing platforms such as Amazon Web Services or Google Cloud Platform.
  8. Troubleshoot and debug data architectures and data engineering tools.
  9. Maintain documentation of data architectures and data engineering processes.
  10. Develop and implement strategies for data quality assurance.
Where is this job?
This job is located at Los Gatos, CA, USA
Job Qualifications
  • Data Analysis

  • Statistics

  • Machine Learning

  • Data Visualization

  • Database Design

  • Etl/Elt

  • Big Data Technologies

  • Programming Languages

Required Skills
  • Sql

  • Python

  • Java

  • Data Analysis

  • Scala

  • Tableau

  • Database Management

  • Big Data

  • ETL

  • Machine Learning

  • AWS

  • Data Visualization

  • Data Mining

  • Database design

  • Statistics

Soft Skills
  • Communication

  • Conflict Resolution

  • Leadership

  • Time management

  • Interpersonal Skills

  • creativity

  • Organizational skills

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Analytics Engineer in Los Gatos, CA, USA is $106,450 to $135,819. The exact salary range will depend on the individual's qualifications, experience, and the company they work for.

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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