Senior Staff Data Engineer - Scale Data Pipelines & APIs

SiriusXM Radio, Inc.

Houston (TX)

On-site

USD 126,700 - 215,000

Full time

14 days+

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Job summary

SiriusXM in Houston is seeking a Senior Staff Data Engineer to design, build, and maintain backend data products and reporting systems at scale. You will own data pipelines and APIs, collaborating with multiple teams and mentoring junior engineers to deliver reliable data solutions.

The ideal candidate has 12+ years in software engineering, 7+ years with Spark/BigQuery/AWS, and a track record of delivering scalable data-driven products in a media technology environment.

Qualifications

  • 12+ years 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, utilizing diverse cloud platforms (ideally AWS).
  • Bachelor's Degree in Computer Science/Mathematics or a similar field.

Responsibilities

  • Design and build high-performance, reliable, and scalable reporting APIs and data pipelines.
  • Lead high-level architecture discussions and planning sessions with ad measurement, revenue and addressability data.
  • Work with various teams of engineers building software in a collaborative development process.
  • Collaborate with the Product team to clarify the scope of the projects by giving thoughtful feedback which challenges and clarifies requirements intent.
  • Execute tasks with utmost clarity and precision, demonstrating a strong sense of ownership and providing clear direction to drive projects forward effectively.
  • Collaborate with the Global Operations and Cloud Infrastructure teams to ensure flawless production deployments and support the Incident Management team.
  • Responsible for mentoring and guiding junior engineers.

Job description

SiriusXM in Houston is seeking a Senior Staff Data Engineer to design, build, and maintain backend data products and reporting systems at scale. You will own data pipelines and APIs, collaborating with multiple teams and mentoring junior engineers to deliver reliable data solutions.

The ideal candidate has 12+ years in software engineering, 7+ years with Spark/BigQuery/AWS, and a track record of delivering scalable data-driven products in a media technology environment.

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