Back to positions

Experienced Entry-Level Data Engineer – Part-Time Position at Netflix: Unlocking the Power of Data to Revolutionize the Entertainment Industry

Remote role Full-time Open position

About Netflix

At Netflix, we're on a mission to entertain the world. With over 200 million paid members in over 190 countries, we're pushing the boundaries of how entertainment is produced, consumed, and experienced. Our commitment to innovation and excellence has led us to become a leader in the streaming industry, with a wide range of genres and languages available across hundreds of thousands of devices. As a part-time Data Engineer at Netflix, you'll play a critical role in helping us make data-driven decisions that drive business growth and improve the user experience.

About the Role

We're looking for an experienced Entry-Level Data Engineer to join our team on a part-time basis. As a Data Engineer at Netflix, you'll be responsible for designing, building, and maintaining large-scale data systems that support our business operations. You'll work closely with cross-functional teams to develop data pipelines, data warehouses, and data lakes that provide insights into our business performance. Your expertise will help us make data-driven decisions that drive business growth, improve user experience, and enhance our competitive edge.

Key Responsibilities:

  • Design, build, and maintain large-scale data systems that support business operations
  • Develop data pipelines, data warehouses, and data lakes that provide insights into business performance
  • Collaborate with cross-functional teams to develop data-driven solutions that drive business growth and improve user experience
  • Work closely with data scientists and analysts to develop data products that support business decision-making
  • Develop and maintain data quality and governance processes to ensure data accuracy and integrity
  • Stay up-to-date with emerging trends and technologies in data engineering and apply them to improve our data systems

Essential Qualifications:

To be successful in this role, you'll need to have:

  • A bachelor's degree in Computer Science, Engineering, or a related field
  • At least 1-2 years of experience in data engineering, software engineering, or a related field
  • Strong programming skills in languages such as Java, Scala, Python, or C++
  • Experience with big data technologies such as Hadoop, Spark, or Flink
  • Knowledge of data modeling, data warehousing, and data governance
  • Excellent communication and collaboration skills
  • Ability to work in a fast-paced, dynamic environment

Preferred Qualifications:

We're looking for candidates who have:

  • Experience with cloud-based data platforms such as AWS or GCP
  • Knowledge of data visualization tools such as Tableau or Power BI
  • Experience with machine learning and artificial intelligence
  • Strong understanding of data security and compliance
  • Ability to work in a global, distributed team

Career Growth Opportunities and Learning Benefits:

As a Data Engineer at Netflix, you'll have opportunities to:

  • Work on high-impact projects that drive business growth and improve user experience
  • Collaborate with cross-functional teams to develop data-driven solutions
  • Develop your skills in emerging trends and technologies in data engineering
  • Participate in mentorship programs and training sessions to enhance your skills
  • Take ownership of your career growth and development

Work Environment and Company Culture:

At Netflix, we value diversity, equity, and inclusion. We're committed to creating a workplace that's inclusive, respectful, and supportive of all employees. Our company culture is built on the principles of innovation, collaboration, and continuous learning. We offer a range of benefits, including:

  • Flexible work arrangements and remote work options
  • Competitive salary and benefits package
  • Opportunities for professional growth and development
  • Access to cutting-edge technology and tools
  • A dynamic and inclusive work environment

Compensation, Perks, and Benefits:

We offer a competitive salary and benefits package, including:

  • Base salary: $20/hour
  • Benefits package, including health insurance, retirement plan, and paid time off
  • Access to cutting-edge technology and tools
  • Opportunities for professional growth and development
  • A dynamic and inclusive work environment

How to Apply:

If you're passionate about data engineering and want to join a dynamic and innovative team, apply now! Please submit your resume, cover letter, and any relevant work samples or projects. We can't wait to hear from you!

Apply Job!

Equal Opportunity Employer:

Netflix is an equal opportunity employer. We value diversity and encourage individuals from all backgrounds to apply. We're committed to creating a workplace that's inclusive, respectful, and supportive of all employees.

Apply for this job

Further positions

Experienced Full Stack Data Engineer – Web & Cloud Application Development for Netflix Games

Remote role Full-time

Experienced Remote Data Entry Specialist – Digital Systems Maintenance and Operations

Remote role Full-time

Experienced Entry-Level Actuarial Statistician – Data Entry and Analysis for Actuarial Field Development

Remote role Full-time

Experienced Customer Service Representative - Specialty (Work-from-Home) - Transforming Patient Care through Compassionate Support

Remote role Full-time

Part-Time Remote Jobs - CVS Customer Service Representative with a Passion for Healthcare Excellence

Remote role Full-time

Experienced Virtual Customer Care Representative – Delivering Exceptional Service for American Express

Remote role Full-time

Experienced Entry-Level Data Entry Clerk – Remote Opportunity for Aspiring Professionals in Logistics and Shipping Industry

Remote role Full-time

Experienced Full Stack Data Analyst – Consumer Insights, Measurement & Analytics for Disney Parks, Experiences and Products

Remote role Full-time

Experienced Digital Media Manager – Video Advertising and Client Services

Remote role Full-time

Experienced Data Engineer – Cloud-Based Data Pipelines and Analytics Solutions for a Global Streaming Giant

Remote role Full-time

Senior Machine Learning Engineer I // II

Remote role Full-time

AI Enablement Lead

Remote role Full-time

Experienced Full Stack Insurance Sales Representative – Life Insurance Marketing and Customer Service

Remote role Full-time

[Remote/WFM] Started doing part-time job - Make money online

Remote role Full-time

Experienced Remote Healthcare Customer Service Representative – Compassionate Patient Advocate for arenaflex

Remote role Full-time

Coordonnateur(trice) principal(e), Mise en place de projets de laboratoire/Senior Laboratory Project Set-Up Coordinator

Remote role Full-time

Work From Home (Remote) Data Entry Position - Flexible work schedule with no prior experience needed (Hiring Immediately)

Remote role Full-time

Experienced Remote Customer Support Specialist – Delivering Exceptional Service as a blithequark Home Advisor from the Comfort of Your Home

Remote role Full-time

Senior Security Engineer, Threat Detection

Remote role Full-time

Bilingual Call Center Agent, CICC

Remote role Full-time