Senior Data Engineer - Penn Mutual

Key Responsibilities

• Design, build, and maintain scalable batch and streaming data pipelines that support enterprise analytics, reporting, and downstream consumption.
• Collaborate with architecture, analytics, data governance, and application teams to translate business and analytical needs into robust data engineering solutions.
• Implement data ingestion, transformation, and quality processes using Python, Apache Spark, and SQL on AWS services.
• Integrate streaming data sources with Kafka and orchestrate workflows with Airflow.
• Ensure data pipelines adhere to enterprise cloud and technology standards, including security, governance, and performance best practices.

Requirements

• 5+ years of experience in data engineering with a strong focus on batch and streaming pipelines.
• Hands‑on knowledge of workflow orchestration tools, preferably Airflow.
• Strong analytical skills, ability to troubleshoot complex data issues, and excellent communication with cross‑functional teams.