5 days ago

Software Engineer, Commerce Data Engineering, Foundations Team

Netflix

Hybrid
Full Time
$473,000
Hybrid

Job Overview

Job TitleSoftware Engineer, Commerce Data Engineering, Foundations Team
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$473,000
LocationHybrid

Who's the hiring manager?

Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.

Uncover Hiring Manager

Job Description

About Netflix

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

About The Commerce Data Engineering

The Commerce Data Engineering ensures the availability, reliability, and quality of the critical data that powers our product experiences, drives customer acquisition, and optimizes our signup journeys. The Foundations Team within the Commerce Data Engineering is dedicated to building frameworks, services, and tools that elevate the efficiency, reliability, and observability of data processing across the entire Commerce Data Engineering ecosystem.

The Opportunity for a Software Engineer, Commerce Data Engineering, Foundations Team

As a Solution/Software Engineer in the Foundations Team, you will design and build scalable, forward-looking systems that improve data processing efficiency, data health, and developer productivity. You will collaborate closely with other data engineers and platform teams to create solutions that are widely adopted across the Commerce Data Engineering team and the broader Netflix data platform.

Your work will directly impact the quality and discoverability of our data, helping us deliver seamless, “in-the-moment” experiences to current and future Netflix members.

What You’ll Do

  • Architect, build, and maintain distributed services and frameworks (gRPC/REST) that enhance the efficiency, reliability, and observability of data pipelines.
  • Develop tools and automation that improve data health, processing efficiency, and the productivity of data engineers.
  • Champion best practices in data quality, system health, and observability, ensuring our solutions are robust, reliable, and scalable.
  • Partner with cross-functional teams, including product management, data science, and engineering, to deeply understand business needs and deliver impactful solutions.
  • Drive innovation by exploring and implementing new technologies and methodologies that keep Netflix at the forefront of data engineering.
  • Own the systems you build, from design to deployment and ongoing operations, ensuring high availability and operational excellence.

About You

  • You are proficient in at least one major language on the JVM stack (Java or Scala), and you write clean, maintainable, and elegant code.
  • You have hands-on experience building distributed services (gRPC/REST) and are well-versed in building APIs, frameworks, and transport protocols.
  • You have experience with batch and real-time data processing technologies (e.g., Spark, Flink, Kafka, Iceberg).
  • You have expertise in building data platforms and data frameworks.
  • You are passionate about data quality, system health, and observability, and you design systems with comprehensive monitoring, logging, and alerting.
  • You have a product mindset, are curious about the business, and collaborate effectively with cross-functional partners.
  • You have a strong operational awareness and experience supporting 24x7, high-scale, multi-tenant systems.
  • You thrive in agile environments, embrace ambiguity, and adapt quickly to change.
  • You embody Netflix's culture of innovation, ownership, and candid feedback. You enjoy both independent work and collaborative problem solving.
  • You are committed to continuous learning and take pride in delivering solutions that have a lasting impact.

Key skills/competency

  • Data Engineering
  • Distributed Systems
  • JVM Languages (Java/Scala)
  • Spark
  • Flink
  • Kafka
  • Iceberg
  • gRPC/REST APIs
  • Data Quality
  • Observability

Tags:

Software Engineer, Data Engineering
Data Engineering
Distributed Systems
Data Platforms
API Development
Framework Design
System Observability
Data Quality
Batch Processing
Real-time Processing
Operational Excellence
Java
Scala
Spark
Flink
Kafka
Iceberg
gRPC
REST
API
JVM
Big Data

Share Job:

How to Get Hired at Netflix

  • Research Netflix's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Customize your resume: Tailor your experience to highlight distributed systems, data platforms, and JVM stack expertise, using keywords from the Software Engineer, Commerce Data Engineering, Foundations Team job description.
  • Showcase problem-solving: Prepare to discuss specific examples of architecting scalable systems and improving data health during your Netflix interviews.
  • Demonstrate technical depth: Be ready for in-depth technical discussions on Spark, Kafka, Flink, and distributed service design relevant to data engineering at Netflix.
  • Highlight collaboration & ownership: Emphasize instances of effective cross-functional teamwork and end-to-end system ownership in past roles.

Frequently Asked Questions

Find answers to common questions about this job opportunity

Explore similar opportunities that match your background