Senior Staff Data Engineer — Scale Data Pipelines & APIs

SiriusXM; United States; In loco; USD 180.000 - 210.000; Tempo pieno

Descrizione del lavoro

SiriusXM is seeking a Senior Staff Data Engineer to join a high-performance team building backend data products and reporting systems at scale. You will design and own data pipelines, APIs, and analytics workloads across Spark, BigQuery, AWS, and GCP, while mentoring junior engineers and coordinating with cross-functional teams.

You will collaborate on architecture discussions, drive production deployments, and ensure robust data solutions that enable insights for ads, measurement, and revenue

Competenze

• 12+ years of software engineering experience in Python or Java (preferably JDK17 or higher).
• 7+ years designing, building, and managing data pipelines using Spark, BigQuery, AWS EMR, and GCP Cloud Analytics.
• 7+ years crafting REST API based-microservices across cloud platforms (ideally AWS).
• Cloud data warehouse & analytics platforms (Snowflake, BigQuery).
• Observability tools like Prometheus, Grafana, ELK stack.
• Working with containers (Docker, Kubernetes).
• Messaging platforms and stream data processing (Kafka, Flink, Pub/Sub).
• Collaboration tools like Jira and Confluence.
• Strong understanding of engineering processes and lifecycle management.

Mansioni

• Design and build high-performance, reliable, and scalable reporting APIs and data pipelines.
• Lead architecture discussions with ad measurement, revenue and addressability data.
• Collaborate with multiple engineering teams in a collaborative development process.
• Clarify project scope with Product team and provide clear directions.
• Drive projects with ownership and decisive execution.
• Coordinate with Global Operations and Cloud Infrastructure for deployments and incident support.
• Mentor and guide junior engineers.

Conoscenze

Python

Java

REST APIs

Microservices

Leadership

Mentoring

Analytical thinking

Formazione

Bachelor’s Degree in Computer Science/Mathematics

Strumenti

Spark

BigQuery

AWS

Kubernetes

Docker

Kafka

GCP

Prometheus

Grafana

ELK stack

Snowflake

DynamoDB

SingleStore

Descrizione del lavoro

SiriusXM is seeking a Senior Staff Data Engineer to join a high-performance team building backend data products and reporting systems at scale. You will design and own data pipelines, APIs, and analytics workloads across Spark, BigQuery, AWS, and GCP, while mentoring junior engineers and coordinating with cross-functional teams.

You will collaborate on architecture discussions, drive production deployments, and ensure robust data solutions that enable insights for ads, measurement, and revenue