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Senior Staff Data EngineerAdswizz • Virginia, Minnesota, United States
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Senior Staff Data Engineer

Adswizz
  • US
    Virginia, Minnesota, United States
  • US
    Virginia, Minnesota, United States
Jetzt Bewerben

Über

How you’ll make an impact: As a Senior Staff Data Engineer, you will join a highly performing team of engineers who build, own, and maintain backend services, data products and reporting applications. You will design, collaborate, and execute building the AdsWizz data products and reporting systems at scale while automating and providing insights into the data onboarding with the SXM Media and AdsWizz services.
What you’ll do:
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.
What you’ll need:
12+ years of software engineering experience in Python or Java programming language (preferably JDK17 or higher).
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 (like 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 Caching implementations (like Redis, Memcached, etc.).
Nice to have expertise in Designing and maintaining Public APIs and data contracts.
Nice to have Security basics (e.g., OAuth2 standard).
Nice to have Foundational Amazon Cloud Services, like S3, CloudTrail, SQS, SNS, Lambda, API Gateway, ElasticCache, Athena, Kinesis, EKS, Cognito, and others.
Nice to have NoSQL databases knowledge (Druid, DynamoDB, SingleStore, or others).
Nice to have hands on experience with AI coding assistants and tools to help with coding and data analytics.
Bachelor’s Degree in Computer Science/Mathematics or a similar field.
Must have legal right to work in the U.S.
Equal Opportunity Employer Our goal at SiriusXM is to provide and maintain a work environment that fosters mutual respect, professionalism and cooperation. SiriusXM is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, alienage or citizenship status, age, disability or handicap, sex, gender identity, marital status, familial status, veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.
The requirements and duties described above may be modified or waived by the Company in its sole discretion without notice.
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  • Virginia, Minnesota, United States

Sprachkenntnisse

  • English
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