Backend Engineer, AdTech
Spotify
Software Engineering
New York, NY, USA
Posted on Jan 12, 2025
Backend Engineer II
Ads Data Platform
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Engineering
Data
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.
Location
- New York
Job type
Permanent
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.
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Our global benefits
Extensive learning opportunities, through our dedicated team, GreenHouse.
Flexible share incentives letting you choose how you share in our success.
Global parental leave, six months off - fully paid - for all new parents.
All The Feels, our employee assistance program and self-care hub.
Flexible public holidays, swap days off according to your values and beliefs.
Learn about life at Spotify
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.
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