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Selected role

Data Engineer, Ads Product Tech

Spotify New York, NY

$132k - $189k Senior Full-time

Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators.

The ads reporting 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

Maintain and enhance Spotify’s reporting pipelines, ensuring they remain business-critical
Build large-scale batch and real-time data pipelines to efficiently collect, process, and store reporting-related data
Make enhancements to data models and ETL code to improve pipeline efficiency and data quality
Design, develop, and maintain high-performance backend services and APIs to power Spotify’s advertising platform
Work closely with stakeholders to understand and translate business requirements into technical solutions
Write scalable, testable, maintainable, and high-quality code
Collaborate with engineers, product managers, and other stakeholders, embracing learning and leadership opportunities daily
Monitor daily execution, diagnose issues, and ensure SLAs are met by maintaining and fixing business-critical pipelines

Who You Are

Experience in data engineering with high-volume, heterogeneous data, ideally within distributed systems such as Hadoop, BigTable, Cassandra, GCP, AWS, or Azure
Familiarity with data processing frameworks like Scio, GCP Dataflow, AWS EMR, and Apache Beam
Familiarity with API design, microservice architecture, and frameworks like Spring Boot or gRPC.
Programming skills in Java or Scala, and for analytics and data extraction (SQL, Python, Pandas, R)
Commitment to agile software processes, data-driven development, reliability, and responsible experimentation
Hands-on experience with orchestration tools like Airflow or similar
Experience with database systems, both relational (e.g., PostgreSQL, MySQL) and non-relational (e.g., Cassandra, DynamoDB).
Excellent problem-solving and communication skills

Where You'll be

We offer you the flexibility to work where you work best! For this role, you can be within the Americas region as long as we have a work location.
This team operates within the Eastern time zone for collaboration.

The United States base range for this position is $132,949 - $189,927, 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.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice

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