Data Engineer, L5 – Ads

🕒 June 27

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Netflix

Netflix

10,000+ employees

Founded 1997

📱 Media

👥 B2C

Media • B2C

Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.

📋 Description

• Architect, strengthen, and expand the core data products that scale Ads business • Collaborate with stakeholders to understand needs and model tables using software engineering and data warehouse best practices • Develop large scale data processing solutions for timely delivery of high quality data • Partner with Analytics Engineers, Data Scientists, and Software Engineers to create data products • 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.

🎯 Requirements

• Experience with data at scale • Experience with advertising data (preferred) • Building batch or streaming production data pipelines • Knowledge in data modeling and establishing data architecture across multiple systems • Command of programming languages such as python, scala or java • Data exploration using sql • 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.

🏖️ Benefits

• Health Plans • Mental Health support • 401(k) Retirement Plan with employer match • Stock Option Program • Disability Programs • Health Savings and Flexible Spending Accounts • Family-forming benefits • Life and Serious Injury Benefits • Paid leave of absence programs • Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. • Full-time salaried employees are immediately entitled to flexible time off.

Apply Now

Similar Jobs

🕒 June 27

The E.W. Scripps Company

5001 - 10000

📱 Media

⚽ Sports

Senior Manager, Data Platforms overseeing data integration and architecture for E.W. Scripps Company. Responsible for strategic planning, system design, and managing stakeholder engagement in data initiatives.

🇺🇸 United States – Remote

🔥 Funding within the last year

💰 $750M Post IPO debt on 2025-08

⏰ Full Time

🟠 Senior

🚰 Data Engineer

AWS

Azure

Cloud

ETL

Google Cloud Platform

Java

Kafka

NoSQL

Python

RDBMS

Realm

SQL

Tableau

🕒 June 26

ezCater

501 - 1000

🍽️ Food & Beverage

📦 Logistics

💼 Consulting

Senior Product Manager for the Enterprise Data Platform at ezCater, driving product strategy and overseeing AI readiness. Leading adoption and ensuring data reliability in a fast-paced environment.

🇺🇸 United States – Remote

💵 $162k - $215k / year

💰 $100M Series D on 2021-12

⏰ Full Time

🟠 Senior

🚰 Data Engineer

Cloud

SQL

🕒 June 26

MDCalc

11 - 50

🏥 Healthcare

⚕️ Healthcare Insurance

☁️ SaaS

Senior Data Engineer building and maintaining data pipelines and infrastructure for MDCalc's medical reference platform. Collaborating with teams to ensure reliable data for analytics and insights.

Airflow

Cloud

ETL

Python

SQL

🕒 June 26

Hewlett Packard Enterprise

10,000+ employees

🏢 Enterprise

🔧 Hardware

☁️ SaaS

Technical Marketing Engineer for Apstra Data Center Networking. Developing technical content and presentations while collaborating with cross-functional teams to influence product adoption.

Ansible

Cloud

Python

Terraform

🕒 June 26

NVIDIA

10,000+ employees

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Senior Software Engineer developing cloud-native stack for data management at NVIDIA. Collaborating on innovative solutions for high-performance GPU-based jobs.

AWS

Azure

Cloud

Google Cloud Platform

Java

Kubernetes

Python

Go