Sirius XM-posted about 2 months ago
$104,000 - $140,000/Yr
Full-time • Mid Level
New York, NY
5,001-10,000 employees
Broadcasting and Content Providers

SiriusXM is seeking a highly motivated and experienced Data Engineer to join our Data Org. In this role, you will be responsible for designing and developing data processing pipelines, data warehousing solutions, and real-time data ingestion systems. You will work closely with data scientists, analysts, and other stakeholders to develop solutions that support the business needs of SiriusXM, Pandora and AdsWizz.

  • Develop and maintain high-performance, scalable, and fault-tolerant data processing systems using Spark, Flink, Druid, or the like.
  • Collaborate with cross-functional teams to integrate data from multiple sources and ensure data accuracy and consistency.
  • Write complex SQL queries to support data analysis and reporting.
  • Develop and maintain data models and ETL processes.
  • Optimize data pipelines and system performance to ensure efficient data processing and analysis.
  • Build and maintain data infrastructure, including data storage and data access systems.
  • Stay up-to-date with the latest developments in data engineering technologies and best practices.
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 3+ years of experience in Data Engineering.
  • Expertise in Spark and Python.
  • Strong understanding of distributed systems, data modeling, and ETL processes.
  • Hands-on experience with cloud-based data warehousing solutions (e.g., AWS Redshift, Snowflake, Teradata).
  • Excellent problem-solving skills and attention to detail.
  • Strong written and verbal communication skills.
  • Ability to work independently and as part of a team.
  • Must have legal right to work in the U.S.
  • Experience with Scala is a bonus.
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