Senior Staff Data Engineer: Scale Data Pipelines & APIs

Pandora

California (MO)

On-site

USD 127,000 - 215,000

Full time

2 days ago

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Job summary

SiriusXM, Pandora and related brands seek a Senior Staff Data Engineer to design and build backend data services, data products, and scalable reporting systems across SXM Media and AdsWizz. You will own data pipelines, automate onboarding, and deliver insights to diverse stakeholders.

Ideal candidates bring 12+ years in software engineering with Python/Java, Spark/BigQuery, and cloud analytics, plus mentoring and cross-team collaboration. The role involves global deployments and strong ownership.

Qualifications

12+ years of 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).
Cloud data warehouse & analytics platforms (Snowflake, BigQuery).
Observability tools like Prometheus, Grafana, ELK stack.
Data pipeline expectations framework experience (like Monte Carlo data, Great Expectations, Soda).
Working with containers (Docker, Kubernetes).
Messaging platforms and stream data processing (like Kafka, Flink, Pub/Sub).
Collaboration tools like Miro (or Lucidchart), Jira and Confluence.
Strong understanding of engineering software processes, lifecycle methodology, configuration management, release management, and system verification and testing.
Ability to work independently and oversee entire projects or significant parts, focusing on research and completing the tasks on time.
Strong analytical and problem-solving skills, meticulous attention to detail, and continuous improvement.
Nice to have expertise in Caching implementations (Redis, Memcached).
Nice to have expertise in Designing and maintaining Public APIs and data contracts.
Nice to have Security basics (OAuth2).
Nice to have Foundational Amazon Cloud Services (S3, CloudTrail, SQS, SNS, Lambda, API Gateway, ElasticCache, Athena, Kinesis, EKS, Cognito).
Nice to have NoSQL databases knowledge (Druid, DynamoDB, SingleStore).
Nice to have hands on experience with AI coding assistants and tools.

Responsibilities

Design and build high-performance, reliable, and scalable reporting APIs and data pipelines.
Lead high-level architecture discussions and planning sessions work 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.