Data Engineer – Ads Product & Tech

🔥 14 hours ago

🗽 New York – Remote

🗽 New York – Remote

💵 $132.9k - $189.9k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Spotify

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2008

📱 Media

👥 B2C

🛍️ eCommerce

Media • B2C • eCommerce

Spotify is a global audio streaming service company that offers its users access to a vast library of music and podcasts. Known for its focus on delivering personalized listening experiences, Spotify employs data scientists, engineers, and client partners across various global locations to continuously innovate and enhance its offerings. The company fosters a strong culture of diversity, equity, and impact, emphasizing belonging and inclusion in its workforce. Spotify is not only committed to shaping the future of audio entertainment but also to making a positive societal impact, with initiatives focused on social and environmental issues.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• health insurance • six month paid parental leave • 401(k) retirement plan • monthly meal allowance • 23 paid days off • 13 paid flexible holidays