
1001 - 5000 employees
π± Media
π Automotive
π₯ B2C
π₯ Funding within the last year
π° $1.3G Post-IPO Debt on 2026-02
Media β’ Automotive β’ B2C
SiriusXM is the leading audio entertainment company in North America, operating a portfolio of audio businesses including its flagship subscription service SiriusXM, the ad-supported and premium music streaming service Pandora, an expansive podcast network, and an advertising ecosystem through SiriusXM Media and AdsWizz. The company offers live, on-demand, and human-curated programming across music, talk, news, sports, and podcasts, reaching approximately 255 million monthly listeners and roughly 33 million subscribers. SiriusXM also provides connected-vehicle, marine, aviation, and business audio solutions and maintains deep automotive manufacturer relationships and unique spectrum assets to reach listeners wherever they are.
π₯ 7 minutes ago
π California, Colorado, +6 more states β Remote
π΅ $126.7k - $215k / year
β° Full Time
π Senior
π° Data Engineer
π» Ghost score 0%
AWS
BigQuery
Cloud
Docker
Google Cloud Platform
Grafana
Java
Kafka
Kubernetes
Microservices
Prometheus
Python
Snowflake
Spark
Where this job comes from
Posted on SiriusXM's careers page, not through a job board
First seen by Remote Rocketship 7 minutes ago

1001 - 5000 employees
π± Media
π Automotive
π₯ B2C
π₯ Funding within the last year
π° $1.3G Post-IPO Debt on 2026-02
Media β’ Automotive β’ B2C
SiriusXM is the leading audio entertainment company in North America, operating a portfolio of audio businesses including its flagship subscription service SiriusXM, the ad-supported and premium music streaming service Pandora, an expansive podcast network, and an advertising ecosystem through SiriusXM Media and AdsWizz. The company offers live, on-demand, and human-curated programming across music, talk, news, sports, and podcasts, reaching approximately 255 million monthly listeners and roughly 33 million subscribers. SiriusXM also provides connected-vehicle, marine, aviation, and business audio solutions and maintains deep automotive manufacturer relationships and unique spectrum assets to reach listeners wherever they are.
β’ Design and build high-performance, reliable, and scalable reporting APIs and data pipelines β’ Lead high-level architecture discussions and planning sessions involving ad measurement, revenue, and addressability data β’ Work with engineering teams building software in a collaborative development process β’ Collaborate with the Product team to clarify project scope and provide feedback on requirements β’ Execute tasks with clarity and precision, demonstrate ownership, and provide direction to drive projects forward β’ Collaborate with Global Operations and Cloud Infrastructure teams to ensure production deployments and support the Incident Management team β’ Mentor and guide junior engineers β’ Build, own, and maintain backend services, data products, and reporting applications for AdsWizz
β’ 12+ years of software engineering experience in Python or Java programming language, preferably JDK17 or higher β’ 7+ years designing, building, and managing data pipelines using Spark, BigQuery, AWS EMR, and GCP Cloud Analytics β’ 7+ years of experience crafting REST API-based microservices and scalable products, ideally using AWS β’ Experience with cloud data warehouses and analytics platforms, including Snowflake and BigQuery β’ Experience with observability tools such as Prometheus, Grafana, and ELK stack β’ Experience with data pipeline expectations frameworks such as Monte Carlo Data, Great Expectations, or Soda β’ Experience working with Docker and Kubernetes β’ Experience with messaging platforms and stream data processing such as Kafka, Flink, or Pub/Sub β’ Experience with Miro or Lucidchart, Jira, and Confluence β’ Strong understanding of engineering software processes, lifecycle methodology, configuration management, release management, system verification, and testing β’ Ability to work independently and oversee entire projects or significant parts, focusing on research and completing tasks on time β’ Strong analytical and problem-solving skills, meticulous attention to detail, and dedication to continuous improvement β’ Bachelorβs Degree in Computer Science, Mathematics, or a similar field β’ Must have legal right to work in the U.S.
β’ Discretionary short-term incentives β’ Discretionary long-term incentives β’ Equal opportunity employment environment
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