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Sirius XM Canada - Trenton, NJ

posted 2 months ago

Full-time - Senior
Trenton, NJ

About the position

The Staff Data Engineer (Infrastructure) at SiriusXM is responsible for designing, building, and maintaining a robust and scalable data infrastructure that supports data professionals in driving innovation and informed decision-making. This role focuses on deploying and scaling the data platform to ensure it serves as a reliable hub for data-driven insights, utilizing cloud technologies and best practices in software engineering and DevOps.

Responsibilities

  • Design, develop, and maintain a robust, scalable, and secure data infrastructure including cloud infrastructure and data lakes.
  • Research and recommend new technologies to address strategic issues.
  • Introduce new technical solutions to enhance productivity, scalability, quality, and reliability of the data platform.
  • Design and implement data platform features impacting multiple components and team members.
  • Set high coding standards for the data platform team.
  • Provide assistance and encouragement to team members during setbacks.
  • Improve execution performance of team members.
  • Encourage diverse perspectives to strengthen innovation.
  • Document projects that cross multiple teams and systems.
  • Write clear documentation for complex technical solutions.
  • Collaborate with cross-functional teams to understand data infrastructure needs.
  • Implement best practices for data infrastructure designs to optimize resource utilization and minimize latency.
  • Identify and address bottlenecks in existing data infrastructure.
  • Design and build observability solutions to monitor resource utilization and trigger alerts.
  • Integrate data platform infrastructure with other systems for seamless collaboration.
  • Work closely with stakeholders to understand their requirements and challenges.
  • Communicate project status, issues, and solutions effectively.

Requirements

  • BS/MS in Computer Science or related field.
  • 8+ years of experience in software development focused on building cloud infrastructure for data professionals.
  • Proficiency in programming languages such as Typescript, Python, Scala, or Java.
  • Experience with infrastructure as code tools like CDK or Terraform.
  • Experience with data technologies such as Databricks, MapReduce, HDFS, Hive, Spark, and Sqoop.
  • Experience with streaming technologies like Kafka, Kinesis, Beam, Flink, and Spark.
  • Knowledge of data storage solutions, database systems, data integrations, and data warehousing.
  • Experience with CI/CD, build, and deployment technologies such as Git, GitHub Actions, and Jenkins.
  • Excellent problem-solving skills and attention to detail.
  • Strong written and verbal communication skills.
  • Ability to work independently and as part of a team.
  • Familiarity with Databricks is a plus.
  • Must have legal right to work in the U.S.

Nice-to-haves

  • Familiarity with Databricks.

Benefits

  • Competitive salary range of $150,000 to $212,450 based on skills and experience.
  • Eligibility for discretionary short-term and long-term incentives.
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