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 by delivering the most compelling subscription and ad-supported audio entertainment experience for listeners -- in the car, at home, and anywhere on the go with connected devices. 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.
This is the place where a diverse group of emerging talent and legends alike come to share authentic and purposeful songs, stories, sounds and insights through some of the best programming and technology in the world. Our critically-acclaimed, industry-leading audio entertainment encompasses music, sports, comedy, news, talk, live events, and podcasting. No matter their individual role, each of our employees plays a vital part in bringing SiriusXM's vision to life every day.
SiriusXM
SiriusXM is the leading audio entertainment company in North America, and the premier programmer and platform for subscription and digital advertising-supported audio products. SiriusXM's platforms collectively reach approximately 150 million listeners, the largest digital audio audience across paid and free tiers in North America, and deliver music, sports, talk, news, comedy, entertainment and podcasts. Pandora, a subsidiary of SiriusXM, 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, which operates as SXM Media, leverages its scale, cross-platform sales organization and ad tech capabilities to deliver results for audio creators and advertisers. SiriusXM, through Sirius XM Canada Holdings, Inc., also offers satellite radio and audio entertainment in Canada. In addition to its audio entertainment businesses, SiriusXM offers connected vehicle services to automakers.
How you'll make an impact:
In this role you'll join a team who designs, builds, and maintains data products that enable critical decision making across the company through experimentation. Experimentation is a key driver of the product development process, and this role will put you at the center of the platform that solves this at scale.
What you'll do:
Build flexible cloud-based data pipeline frameworks to produce statistical analyses of user outcomes
Build and improve workflow orchestration tooling to support efficient data pipelines. E.g. airflow plugins, systems integration, deployments
Build tooling to support ML workflows for statistical analysis
Build monitoring dashboards for stakeholders to better understand the health, performance, and cost of the platform
Write documentation to encourage adoption of platform tools and support users in their use
Strengthen corporate best practices around data engineering software development processes
Collaborate closely with cross-functional teams to launch new analyses in a way that's reliable and scalable
What you'll need:
5+ years' experience developing data ETL pipelines and data tools in Scala and/or Python
BS/MS or above in Computer Science or relevant experience
Experience with data warehouse technologies: MapReduce, HDFS, Hive, Tez, Spark, Sqoop
Experience with streaming technologies - Kafka, Kafka Connect, KStreams, KSQL, Beam, Flink, Spark
Experience developing SQL applications of significant complexity
Experience with cloud computing - Google Cloud Platform, Amazon Web Services
Experience developing for Linux-based deployment platforms, developing scalable server-side software for deployment
Experience developing service-oriented architectures/orchestration
Experience with API design/development - RPC, REST, JSON
Experience with unit and integration testing frameworks
Experience with CI/CD, build and deployment technologies such as Jenkins
Experience with Data Visualization or Data Notebook tools (i.e Zeppelin, Tableau, etc.)
Experience working in a Cloud Environment (AWS, GCP, etc.)
Experience developing and deploying machine learning algorithms
Experience developing with additional languages - R, Scala
Experience with workflow tools - Airflow/Composer/Luigi
Experience with data serialization system - Avro, Protobuf
Interpersonal skills and ability to interact and work with staff at all levels.
Excellent written and verbal communication skills.
Ability to work independently and in a team environment.
Ability to project professionalism over the phone and in person.
Ability to handle multiple tasks in a fast-paced environment.
Commitment to "internal client" and customer service principles.
Willingness to take initiative and to follow through on projects.
Creative writing ability.
Excellent time management skills, with the ability to prioritize and multi-task, and work under shifting deadlines in a fast-paced environment.
Must have legal right to work in the U.S
At SiriusXM, we carefully consider a wide range of factors when determining compensation, including your background and experience. These considerations can cause your compensation to vary. We expect the base salary for this position to be in the range of $126,000 to $145,800 and will depend on your skills, qualifications, and experience. Additionally, this role might be eligible for discretionary short-term and long-term incentives. We encourage all interested candidates to apply.
Our goal at SiriusXM is to provide and maintain a work environment that fosters mutual respect, professionalism and cooperation. SiriusXM is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, alienage or citizenship status, age, disability or handicap, sex, gender identity, marital status, familial status, veteran status, sexual orientation or any other characteristic protected by applicable federal, state or local laws.
The requirements and duties described above may be modified or waived by the Company in its sole discretion without notice.
R-2023-08-81