Senior Data Engineer — Scalable Pipelines & APIs

SiriusXM Radio, Inc.; New York; Hybrid; USD 126,700 - 215,000; Full time

Job summary

SiriusXM Radio, Inc. is seeking a Senior Staff Data Engineer to design, build, and scale data reporting APIs and pipelines. You will lead architecture discussions and collaborate with multiple engineering teams to deliver data products across ad measurement and revenue domains.

The role requires 12+ years in software engineering, 7+ years with data pipelines, and strong experience with Python/Java, Spark, BigQuery, and cloud platforms like AWS/GCP. Mentoring and strong ownership are essential.

Qualifications

• 12+ years of software engineering experience in Python or Java.
• 7+ years building data pipelines with Spark, BigQuery, AWS EMR, and GCP.
• 7+ years designing REST API based microservices on cloud platforms (AWS preferred).
• Experience with data warehouses like Snowflake and BigQuery.
• Proficiency with observability tools (Prometheus, Grafana, ELK).
• Experience with containers (Docker, Kubernetes) and messaging systems (Kafka, Pub/Sub).
• Strong collaboration, ownership, and problem-solving skills.

Responsibilities

• Design and build high-performance, reliable data reporting APIs and pipelines.
• Lead architecture discussions with ad measurement and revenue data.
• Collaborate across engineering teams to deliver scalable data products.
• Clarify project scope with Product to ensure requirements.
• Provide clear direction to drive projects forward and mentor juniors.
• Coordinate deployments with Global Operations and Incident Management teams.

Skills

Python

Java

Data pipelines

REST APIs

Spark

BigQuery

AWS

GCP

Kafka

Docker

Kubernetes

Prometheus

Grafana

ELK

Great Expectations

Monte Carlo

Public APIs

OAuth2

S3

NoSQL

AI coding assistants

Education

Bachelor's Degree in Computer Science/Mathematics

Tools

Spark

BigQuery

AWS EMR

GCP Analytics

Snowflake

Kubernetes

Docker

Kafka

Pub/Sub

Prometheus

Grafana

ELK

Job description

SiriusXM Radio, Inc. is seeking a Senior Staff Data Engineer to design, build, and scale data reporting APIs and pipelines. You will lead architecture discussions and collaborate with multiple engineering teams to deliver data products across ad measurement and revenue domains.

The role requires 12+ years in software engineering, 7+ years with data pipelines, and strong experience with Python/Java, Spark, BigQuery, and cloud platforms like AWS/GCP. Mentoring and strong ownership are essential.