Senior Staff Data Engineer: Cloud Pipelines & APIs

Sirius XM; Denver (CO); In loco; USD 127.000 - 215.000; Tempo pieno

Descrizione del lavoro

SiriusXM is seeking a Senior Staff Data Engineer to join the AdsWizz data products and reporting systems at scale. You will design, build, and maintain backend services and data pipelines, collaborating across teams to automate data onboarding for SXM Media and AdsWizz services.

You will lead architecture discussions, mentor junior engineers, and drive reliable deployments with Global Operations and Cloud Infrastructure.

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 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 (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, with meticulous attention to detail and a dedication to continuous improvement
• Nice to have expertise in 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
• Bachelor's Degree in Computer Science/Mathematics or a similar field
• Must have legal right to work in the U.S.

Mansioni

• 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

Conoscenze

Python

Java

Data pipelines

REST APIs

Cloud platforms

Spark

BigQuery

AWS

Kubernetes

Docker

Kafka

Pub/Sub

Prometheus

Grafana

ELK

Jira

Confluence

Miro

Formazione

Bachelor's Degree in Computer Science/Mathematics

Strumenti

Snowflake

BigQuery

AWS EMR

GCP Cloud Analytics

Docker

Kubernetes

Descrizione del lavoro

SiriusXM is seeking a Senior Staff Data Engineer to join the AdsWizz data products and reporting systems at scale. You will design, build, and maintain backend services and data pipelines, collaborating across teams to automate data onboarding for SXM Media and AdsWizz services.

You will lead architecture discussions, mentor junior engineers, and drive reliable deployments with Global Operations and Cloud Infrastructure.