[Remote] Data Engineer (L5) - Ads
Note: The job is a remote job and is open to candidates in USA. Netflix is a company dedicated to entertaining the world and is seeking a Data Engineer for its Ads Data Engineering team. The role involves building a data ecosystem to enhance understanding and decision-making regarding ad impact, while collaborating with various stakeholders to develop large-scale data processing solutions.
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
Skills
- You have an extensive background and strong technical expertise working with data at scale, experience with advertising data (preferred) and understand how to build for privacy, and business impact
- You have a 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
- Love freedom and hate being micromanaged. Given context, you're capable of self-direction
- Passionate about data quality and delivering effective data to impact the business
- 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
- 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
Benefits
- Health Plans
- Mental Health support
- A 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
Company Overview
Company H1B Sponsorship