Senior Data Engineer: Scalable Data Pipelines & APIs

Pandora

Washington (District of Columbia)

On-site

USD 127,000 - 215,000

Full time

8 days ago

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

SiriusXM is seeking a Senior Staff Data Engineer to design and scale data products and reporting systems powering AdsWizz and SiriusXM platforms. You will own backend services and data pipelines, collaborating with ad measurement, revenue, and product teams to deliver impactful insights.

The role requires deep experience with Python/Java, Spark, BigQuery, and cloud ecosystems, plus leadership and mentoring capabilities.

Qualifications

12 years of software engineering experience in Python or Java (preferably JDK17+).
7 years designing, building, and managing data pipelines with Spark, BigQuery, AWS EMR, and GCP Analytics.
7 years crafting REST API–based microservices on cloud platforms (ideally AWS).
Experience with cloud data warehouses and analytics platforms (Snowflake, BigQuery).
Proficiency with observability tools (Prometheus, Grafana, ELK).
Experience with data pipeline frameworks (Monte Carlo, Great Expectations, Soda).
Experience with containers (Docker, Kubernetes).
Experience with messaging/streaming (Kafka, Flink, Pub/Sub).
Strong collaboration, ownership, and project leadership skills.
Bachelor’s Degree in Computer Science/Math; legal right to work in the U.S.

Responsibilities

Design and build high-performance reporting APIs and data pipelines.
Lead architecture discussions for ad measurement, revenue, and addressability data.
Collaborate with multiple engineering teams in a collaborative development process.
Provide feedback to clarify project scope with Product teams.
Drive projects with clear ownership and direction from inception to delivery.
Coordinate with Global Operations and Cloud Infrastructure for deployments and incident support.
Mentor and guide junior engineers.