Senior Staff Data Engineer: Scale Pipelines & APIs

Sirius XM; Williamstown (NJ); On-site; USD 170,000 - 250,000; Full time

Job summary

SiriusXM is seeking a Senior Staff Data Engineer to design and scale data products and reporting systems across AdsWizz and SiriusXM platforms. You will own backend data pipelines, collaborate with multi-disciplinary teams, and help deliver insights across our digital audio ecosystem.

The role requires extensive experience in Python/Java, Spark, and cloud analytics, with a focus on reliable data platforms and scalable architecture. Join a leader in audio entertainment with global impact.

Qualifications

• 12+ years of software engineering experience
• 7+ years building data pipelines with modern tools
• 7+ years designing REST-based microservices and scalable products
• Experience with cloud data warehouses and analytics platforms

Responsibilities

• Design and build high-performance data pipelines and reporting APIs.
• Lead architecture discussions with ad measurement, revenue, and addressability data.
• Collaborate with multiple engineering teams and product managers.
• Drive project scope and provide clear direction for execution.
• Ensure reliable production deployments with incident management support.

Skills

Python/Java

Data pipelines

REST APIs

Cloud data warehousing

Kafka/Flink

Caching

Ownership

Team collaboration

Education

Bachelor’s Degree in CS/Math

Tools

Spark

BigQuery

AWS EMR

GCP Analytics

Snowflake

DynamoDB

Redis

Job description

SiriusXM is seeking a Senior Staff Data Engineer to design and scale data products and reporting systems across AdsWizz and SiriusXM platforms. You will own backend data pipelines, collaborate with multi-disciplinary teams, and help deliver insights across our digital audio ecosystem.

The role requires extensive experience in Python/Java, Spark, and cloud analytics, with a focus on reliable data platforms and scalable architecture. Join a leader in audio entertainment with global impact.