200+ applicants

Company

Netflix · 1 day ago

Data Engineer (L5) - Ads

United States

Full-time

Remote

Mid Level

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Digital EntertainmentMedia and Entertainment

Comp. & Benefits

H1B Sponsor Likely

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Responsibilities

Architect, strengthen, and expand the core data products that scale our Ads business.

Fully own critical portions of Netflix' Ads data products.

Collaborate with stakeholders to understand needs, model tables using software engineering and data warehouse best practices, and develop large scale data processing solutions to ensure the timely delivery of high quality data.

Partner with Analytics Engineers, Data Scientists, and Software Engineers to create data products that will serve analysis, ML and reporting needs intuitively.

Develop best practices for governance of data sets with sensitive information.

Build strong and collaborative partnerships with data scientists, analytics engineers, and Machine Learning practitioners.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data engineeringAdvertising dataData pipelinesDistributed processingData modelingPythonSQLHadoopSparkSoft skills

Required

Curious, creative, and tenacious.

Sharp communicator who can break down and explain complex data problems in clear and concise language.

Extensive background and strong technical expertise working with data at scale.

Experience with advertising data.

Understanding of how to build for privacy and business impact.

High tolerance for ambiguity and fast-changing context.

Hands-on experience building batch or streaming production data pipelines, ideally using one or more distributed processing frameworks such as Spark, Flink or Hive/Hadoop.

Knowledge in data modeling and establishing data architecture across multiple systems.

Thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.

Create code that is understandable, simple, and clean, and take pride in its beauty.

Capable of self-direction given context.

Passionate about data quality and delivering effective data to impact the business.

Preferred

Domains related to advertising, data privacy, GDPR.

Data warehousing, data modeling, and data transformation for both batch and streaming.

Hands on command programming languages such as python, scala or java as well data exploration using sql.

Expert at building performant data pipelines and optimizing existing workflows for new features.

Big Data tech - Hadoop, Spark, Flink, Stream processing, Hive, Presto, etc.

Experience with sourcing and modeling data from application APIs.

Team based software development tools and best practices.

Company

Netflix

Glassdoor

4.1

Netflix is an online streaming platform that enables users to watch TV shows and movies.

Founded in 1997

Los Gatos, California, USA

10001+ employees

https://www.netflix.com

H1B Sponsorship

Netflix has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2023 (146)

2022 (237)

2021 (290)

2020 (239)