Job Title: Senior Staff Software Engineer

Company Name: Pandora

Job Url: https://jobright.ai/jobs/info/6965c864a112b4026613d157

Job Description: 
Pandora
· 20 minutes ago
Senior Staff Software Engineer

United States

Full-time

Remote

Senior Level, Lead/Staff

$156K/yr - $225K/yr

12+ years exp
72%
GOOD MATCH
100%
Exp. Level
46%
Skill
41%
Industry Exp.
Pandora, part of SiriusXM, is a leading audio entertainment service that delivers compelling subscription and ad-supported audio experiences. As a Senior Staff Software Engineer, you will design and build high-performance reporting APIs and data pipelines while collaborating with various teams to ensure effective project execution.
Media and Entertainment
Telecom & Communications
Music
Broadcasting
Internet
Internet Radio
No H1B

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Responsibilities
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

Qualification

Represents the skills you have
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Python
Java
Spark
BigQuery
AWS EMR

GCP Cloud Analytics
REST API
Microservices

AWS Cloud Platform
Cloud data warehouse
Snowflake
Observability tools
Prometheus
Grafana
ELK stack
Data pipeline expectations framework
Monte Carlo data
Great Expectations
Soda
Docker
Kubernetes
Messaging platforms
Kafka
Flink
Pub/Sub
Software engineering processes
Configuration management
Release management
System verification

Testing
Required
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
Bachelor's Degree in Computer Science/Mathematics or a similar field
Must have legal right to work in the U.S
Preferred
Caching implementations (like Redis, Memcached, etc.)
Designing and maintaining Public APIs and data contracts
Security basics (e.g., OAuth2 standard)
Foundational Amazon Cloud Services, like S3, CloudTrail, SQS, SNS, Lambda, API Gateway, ElasticCache, Athena, Kinesis, EKS, Cognito, and others
NoSQL databases knowledge (Druid, DynamoDB, SingleStore, or others)
Hands on experience with AI coding assistants and tools to help with coding and data analytics

Benefits
Discretionary short-term and long-term incentives