Senior Staff Data Engineer: Lead Scalable Data Pipelines

Pandora; Massachusetts; On-site; USD 126,700 - 215,000; Full time

Job summary

SiriusXM is seeking a Senior Staff Data Engineer to design, build, and scale backend services, data products, and reporting systems across SXM Media. You will lead AdsWizz data products and ensure smooth data onboarding for multiple brands.

The role requires 12+ years in software, 7+ years in data pipelines with Spark/BigQuery and 7+ years in REST APIs and cloud platforms. U.S. work authorization is required and base compensation ranges from $126,700 to $215,000.

Qualifications

• 12+ years of software engineering in Python or Java.
• 7+ years building data pipelines with Spark, BigQuery, AWS EMR, and GCP.
• 7+ years crafting REST APIs and microservices across cloud platforms.
• Must have legal right to work in the U.S.

Responsibilities

• Design and build high-performance reporting APIs and data pipelines.
• Lead architecture discussions with ad measurement, revenue and data teams.
• Mentor junior engineers and guide project execution.

Skills

Python/Java

Spark

BigQuery

REST APIs

Cloud platforms (AWS/GCP)

Observability (Prometheus/Grafana/ELK)

Data pipelines

Kafka

Mentoring

Analytical thinking

Education

Bachelor’s Degree in Computer Science/Mathematics or similar

Tools

Docker

Kubernetes

Jira

Confluence

Job description

SiriusXM is seeking a Senior Staff Data Engineer to design, build, and scale backend services, data products, and reporting systems across SXM Media. You will lead AdsWizz data products and ensure smooth data onboarding for multiple brands.

The role requires 12+ years in software, 7+ years in data pipelines with Spark/BigQuery and 7+ years in REST APIs and cloud platforms. U.S. work authorization is required and base compensation ranges from $126,700 to $215,000.