Who We Are
SiriusXM and its brands (Pandora, SXM Media, AdsWizz, Simplecast, and SiriusXM Connected Vehicle Services) are leading a new era of audio entertainment and services. Our vision is to shape the future of audio, where everyone can be effortlessly connected to the voices, stories, and music they love wherever they are. We offer diverse programming including music, sports, comedy, news, talk, live events, and podcasting. Each employee plays a vital part in bringing SiriusXM’s vision to life every day.
SiriusXM
SiriusXM is the leading audio entertainment company in North America, reaching approximately 150 million listeners. It offers music, sports, talk, news, comedy, entertainment, and podcasts. Pandora is the largest ad-supported audio entertainment streaming service in the U.S. SiriusXM's subsidiaries Simplecast and AdsWizz make it a leader in podcast hosting, production, distribution, analytics, and monetization. The Company’s advertising sales organization operates as SXM Media and leverages its scale, cross-platform sales organization, and ad tech capabilities. Additionally, SiriusXM offers connected vehicle services to automakers.
How You’ll Make An Impact
As a Data Engineer at SiriusXM, 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.
What You’ll Do
- 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.
What You’ll Need
- Bachelor's degree in Computer Science, Engineering, or a related field
- 2+ years of experience in Data Engineering
- Expertise in Spark and Python
- Experience with Scala is a bonus
- 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