Senior Data Engineer Lead – Scalable Pipelines & APIs

Pandora; Kentucky; On-site; USD 126,700 - 215,000; Full time

Job summary

Pandora in the United States is seeking a Senior Staff Data Engineer to own backend services, data products and reporting systems at scale across SXM Media and AdsWizz. You will design, collaborate, and execute building data products and reporting infrastructure with a focus on reliable data onboarding.

The ideal candidate has extensive experience with Python or Java, Spark and cloud data warehouses, with strong ownership, mentoring, and ability to drive complex projects from conception to

Qualifications

• 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 crafting REST API based-microservices and scalable products on AWS.
• Experience with cloud data warehouses and analytics platforms (Snowflake, BigQuery).
• Observability with Prometheus, Grafana, ELK; containerization with Docker/Kubernetes; messaging with Kafka/Pub/Sub.

Responsibilities

• Design and build high-performance, reliable data reporting APIs and data pipelines.
• Lead architecture discussions with ad measurement, revenue and addressability data.
• Collaborate with multiple engineering teams in a distributed development process.
• Partner with Product to clarify project scope and requirements.
• Mentor junior engineers and drive production deployments with Operations teams.

Skills

Python

Java

Spark

BigQuery

REST APIs

AWS

GCP

Docker

Kubernetes

Kafka

Pub/Sub

Prometheus

Grafana

ELK

Caching

Public APIs

OAuth2

S3

NoSQL (Druid/DynamoDB)

Education

Bachelor’s Degree in Computer Science/Mathematics

Tools

Jira

Confluence

Miro

Lucidchart

Job description

Pandora in the United States is seeking a Senior Staff Data Engineer to own backend services, data products and reporting systems at scale across SXM Media and AdsWizz. You will design, collaborate, and execute building data products and reporting infrastructure with a focus on reliable data onboarding.

The ideal candidate has extensive experience with Python or Java, Spark and cloud data warehouses, with strong ownership, mentoring, and ability to drive complex projects from conception to