Part Time Jobs At Netflix Near Me $21/Hour

Netflix; Phoenix (AZ); On-site; USD 23,866 - 33,992; Full time

Job summary

Netflix is looking for a Data Engineer in Phoenix, USA, responsible for building intuitive data products and effective data pipelines. This role entails collaboration with various teams to handle both structured and unstructured data.

The ideal candidate should have a Bachelor's Degree, be proficient in cutting-edge SQL, and experienced with tools like Hive and AWS cloud services. This position offers an opportunity to innovate within the emerging games space at Netflix.

Qualifications

• Bachelor's Degree required.
• Experience with large-scale data tools.
• Proficient in SQL and AWS services.

Responsibilities

• Engineer effective and adaptable data pipelines.
• Develop high-level metrics for games.
• Collaborate with diverse teams to solve complex problems.

Skills

Cutting-edge SQL

AWS cloud services

Data product development

Designing data pipelines

Education

Bachelor's Degree

Tools

Hive

Voila

Flash

Flink

Job description

Job Responsibilities: Data Engineer. Salary: $/21Hour. Company: Netflix. Location: Phoenix, USA. Educational Requirements: BachelorDegree.

Responsibilities

• Engineer effective, versatile, and adaptable data pipelines to handle structured and unstructured data.
• Foster a profound comprehension of the emerging games space at Netflix.
• Cooperate with our game studio prompts to develop high-level metrics for games.
• Partner with Netflix's interior game studios (Night School, Next Games, Manager Battle, and Nimble Fox) to ingest significant metrics and game data into the Netflix data system.
• Join forces with the Netflix SDK group and external game partners (e.g., Gameloft) to acquire data using the Netflix Games SDK.
• Collaborate with a diverse group of data engineers, research designers, and data science partners to solve complex problems.

Qualifications

• Energetic about building intuitive data products.
• Proficient in cutting‑edge SQL.
• Experienced designing data pipelines using large-scale data tools such as Hive, Voila, Flash, and Flink on medium to large datasets.
• Well‑versed with AWS cloud services (S3, EC2, RDS, etc.).
• Skilled at taking requirements and building versatile data models and pipelines.
• Motivated to demonstrate excellence, learn new technologies, and advance your career.