Senior Staff Data Engineer: Scale Data Pipelines & APIs

SiriusXM Radio, Inc.; Seattle (WA); On-site; USD 126,700 - 215,000; Full time

Job summary

SiriusXM is seeking a Senior Staff Data Engineer in Seattle to design, build, and scale backend data services, data products, and reporting applications for AdsWizz and SiriusXM Media. You will lead architecture discussions and collaborate across teams to deliver robust data systems.

You will mentor engineers, drive data pipeline quality, and partner with Product and Cloud teams to ensure reliable, observable platforms on AWS and GCP.

Qualifications

• 12+ years of software engineering in Python or Java.
• 7+ years designing, building, and managing data pipelines with Spark, BigQuery, AWS EMR, and GCP.
• 7+ years crafting REST API-based microservices on cloud platforms (AWS preferred).
• Experience with Snowflake and BigQuery data warehouses.
• Observability tools like Prometheus, Grafana, ELK stack.
• Experience with Docker and Kubernetes.
• Messaging systems like Kafka, Flink, Pub/Sub.
• Familiarity with CI/CD, release management and testing practices.
• Bachelor's degree in CS/Math or similar field.
• Legal right to work in the U.S.

Responsibilities

• Design, build, and maintain high-performance reporting APIs and data pipelines.
• Lead architecture discussions with ad measurement, revenue, and addressability data.
• Collaborate with multiple engineering teams in a collaborative development process.
• Work with Product to clarify project scope and requirements.
• Mentor junior engineers and drive project delivery.

Skills

Python

Java

Spark

BigQuery

AWS

Kubernetes

REST APIs

Data pipelines

Kafka

GCP

NoSQL

Redis

Education

Bachelor's Degree in CS/Math

Tools

Docker

Kubernetes

Prometheus

Grafana

ELK

Job description

SiriusXM is seeking a Senior Staff Data Engineer in Seattle to design, build, and scale backend data services, data products, and reporting applications for AdsWizz and SiriusXM Media. You will lead architecture discussions and collaborate across teams to deliver robust data systems.

You will mentor engineers, drive data pipeline quality, and partner with Product and Cloud teams to ensure reliable, observable platforms on AWS and GCP.