Senior Data Engineer: Scalable Pipelines & APIs

Sirius XM; Athens (GA); In loco; USD 150.000 - 210.000; Tempo pieno

Vantaggi offerti da questo lavoro

Discretionary incentives

Descrizione del lavoro

SiriusXM is seeking a Senior Staff Data Engineer in Georgia to design and scale backend data products and reporting systems. The role focuses on building data pipelines, APIs, and analytics capabilities for the AdsWizz and SXM Media ecosystems.

You will collaborate with product and engineering teams to deliver reliable, scalable data services across AWS/GCP, ensuring production readiness and clean data contracts.

Competenze

• 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 Analytics.
• 7+ years crafting REST API based microservices on cloud platforms (prefer AWS).
• Experience with cloud data warehouses (Snowflake, BigQuery).
• Experience with data quality tools (Monte Carlo, Great Expectations, Soda).

Mansioni

• Design and build high-performance data pipelines and reporting APIs.
• Lead architecture discussions with ad measurement, revenue, and addressability data.
• Collaborate with multiple engineering teams to deliver scalable data products.
• Clarify requirements with product teams and drive projects with ownership.
• Coordinate deployments with Global Ops and Cloud Infra teams.

Conoscenze

Python

Java

Data engineering

REST APIs

Formazione

Bachelor's Degree in Computer Science/Mathematics

Strumenti

Spark

BigQuery

AWS EMR

GCP Analytics

Kafka

Flink

Pub/Sub

NoSQL Databases (Druid, DynamoDB, SingleStore)

S3

Kinesis

Descrizione del lavoro

SiriusXM is seeking a Senior Staff Data Engineer in Georgia to design and scale backend data products and reporting systems. The role focuses on building data pipelines, APIs, and analytics capabilities for the AdsWizz and SXM Media ecosystems.

You will collaborate with product and engineering teams to deliver reliable, scalable data services across AWS/GCP, ensuring production readiness and clean data contracts.