Senior Data Engineer - Scalable Data Pipelines

Sirius XM; Lorida (FL); On-site; USD 127,000 - 215,000; Full time

Job summary

SiriusXM is seeking a Senior Staff Data Engineer to join a high-performance data and analytics team. You will design and maintain backend data products and reporting systems, build scalable pipelines, and collaborate with AdsWizz, Pandora, and other brands.

You will mentor junior engineers, lead architecture discussions, and work across AWS/GCP, Spark, BigQuery, and REST microservices to deliver reliable insights at scale.

Qualifications

• 12+ years of software engineering experience in Python or Java.
• 7+ years designing, building, and managing data pipelines using Spark, BigQuery, AWS EMR, and GCP Cloud Analytics.
• 7+ years of experience crafting REST API based microservices and scalable products on cloud platforms.
• Experience with cloud data warehouses and analytics (Snowflake, BigQuery).
• Observability tools like Prometheus, Grafana, ELK stack.

Responsibilities

• Design and build high-performance, reliable, and scalable reporting APIs and data pipelines.
• Lead high-level architecture discussions with ad measurement, revenue and addressability data.
• Collaborate with multiple engineering teams in a shared development process.
• Work with Product to clarify project scope and requirements.
• Provide clear direction and ownership to drive projects forward.
• Coordinate with Global Operations and Cloud Infrastructure for deployments and incident support.
• Mentor and guide junior engineers.

Skills

Python/Java

Spark

REST APIs

Cloud (AWS/GCP)

BigQuery/Snowflake

Docker/Kubernetes

Kafka/Flink

Observability (Prometheus/Grafana)

CI/CD & Release

Mentoring/Lead

US work authorization

Education

Bachelor's degree in Computer Science/Mathematics

Tools

Docker

Kubernetes

Kafka

Pub/Sub

BigQuery

Snowflake

AWS

GCP

ELK Stack

Jira/Confluence

Job description

SiriusXM is seeking a Senior Staff Data Engineer to join a high-performance data and analytics team. You will design and maintain backend data products and reporting systems, build scalable pipelines, and collaborate with AdsWizz, Pandora, and other brands.

You will mentor junior engineers, lead architecture discussions, and work across AWS/GCP, Spark, BigQuery, and REST microservices to deliver reliable insights at scale.