Senior Data Engineer — Lead Data Pipelines & APIs

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

Job summary

SiriusXM Radio, Inc. is seeking a Senior Staff Data Engineer to design and scale backend data products and reporting systems across AdsWizz and SXM Media. You’ll own data pipelines, APIs, and analytics at scale, mentoring juniors and working with cross‑functional teams.

You will design high‑performance pipelines, drive architecture discussions, and ensure reliable deployments with Cloud Infrastructure. A strong background in Python/Java, Spark, and modern data stacks is essential.

Qualifications

• 12+ years of software engineering experience in Python or Java (JDK17+).
• 7+ years building data pipelines with Spark, BigQuery, AWS EMR, and GCP Analytics.
• 7+ years crafting REST-based microservices on cloud platforms (AWS preferred).
• Experience with cloud data warehouses like Snowflake and BigQuery.
• Strong observability and monitoring experience (Prometheus, Grafana, ELK).
• Experience with Docker, Kubernetes, Kafka or Pub/Sub.

Responsibilities

• Design and build 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 SDLC.
• Clarify project scope with Product teams and provide clear requirements intent.
• Mentor junior engineers and help drive projects to completion.
• Coordinate with Global Operations and Cloud Infra for production deployments.

Skills

Python/Java

Spark

REST APIs

Cloud platforms

Docker

Kubernetes

Kafka

GCP/AWS

Monitoring/Observability

Code reviews

Education

Bachelor's Degree in CS/Math or similar

Tools

BigQuery

Snowflake

AWS

Prometheus/Grafana/ELK

Job description

SiriusXM Radio, Inc. is seeking a Senior Staff Data Engineer to design and scale backend data products and reporting systems across AdsWizz and SXM Media. You’ll own data pipelines, APIs, and analytics at scale, mentoring juniors and working with cross‑functional teams.

You will design high‑performance pipelines, drive architecture discussions, and ensure reliable deployments with Cloud Infrastructure. A strong background in Python/Java, Spark, and modern data stacks is essential.