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Backend Engineer II - Ads Data Platform

extra holidays - extra parental leave

Remote:

Full Remote

Contract:

Full time

Salary:

123 - 175K yearly

Experience:

Mid-level (2-5 years)

Work from:

New York (USA), United States

Offer summary

Qualifications:

Experience in backend and data engineering, Strong programming skills in Java, Python, Scala or Kotlin, Hands-on with cloud platforms like GCP, AWS, or Azure, Familiar with API design and microservices.

Key responsabilities:

Design, develop, and maintain backend services and APIs
Maintain measurement pipelines ensuring high availability and stability

Spotify Music XLarge http://www.lifeatspotify.com/

5001 - 10000 Employees

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Job description

The ads measurement team is dedicated to creating scalable, reliable data and backend systems that power our advertising ecosystem. Our mission is to enable seamless delivery of personalized, impactful ads while maintaining an exceptional user experience. As part of our team, you will play a key role in shaping and realizing our vision to enhance the advertising experience for our clients and establish Spotify as a market leader in advertising.

We are seeking engineers who are passionate about designing, developing, and maintaining robust and scalable systems. You will work closely with cross-functional teams to build data services and APIs that support our advertising platform, enabling innovative features and analytics. Positioned at the heart of our backend operations, you will assist product teams in driving high performance, reliability, and scalability across our systems. Our team culture emphasizes creative problem-solving, rapid iteration, execution, and collaboration.

What You'll Do

Design, develop, and maintain high-performance backend services and APIs to power Spotify’s advertising platform

Additionally Maintain and enhance Spotify’s measurement pipelines, ensuring they remain business-critical

Monitor and maintain critical systems and pipelines to ensure high availability, stability, and adherence to SLAs

Build and optimize ETL workflows to ensure data accuracy, efficiency, and scalability

Collaborate with cross-functional teams to implement new features, ensure system integration, and drive impactful outcomes

Write clean, testable, and maintainable code following best practices in software development

Debug, troubleshoot, and optimize existing systems to improve performance and reliability

Who You Are

You have proven experience in backend and data engineering, with a balanced skill set in both domains or open to mastering both domains

You have strong programming skills in languages such as Java, Python, Scala, or Kotlin

You have hands-on experience with cloud platforms like GCP, AWS, or Azure.

You are familiar with API design, microservice architecture, and frameworks like Spring Boot or gRPC

You have knowledge of data processing frameworks such as Apache Beam, Scio, or Spark

You have experience with database systems, both relational (e.g., PostgreSQL, MySQL) and non-relational (e.g., Cassandra, DynamoDB).Proficiency with orchestration tools like Airflow and streaming tools like Kafka or Pub/Sub

You are committed to agile software development practices, CI/CD, and test-driven development

You have excellent problem-solving skills with a passion for optimizing both systems and data pipelines.

Where You'll Be

We are a distributed workforce enabling our band members to find a work mode that is best for them!

Where in the world? For this role, it can be within the North America region in which we have a work location and is within working hours

Working hours? We operate within the Eastern Standard time zone for collaboration and ask that all be located in that time zone.

Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.

The United States base range for this position is $122,716 - 175,308.00, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.