Senior Big Data Engineer

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!

Senior Big Data Engineer

Job Description: We are seeking a Senior Big Data Engineer to design, build, and operate core components of the data platform and pipeline architecture behind Qualys' Enterprise TruRisk Platform, processing billions of daily transactions.

Responsibilities

• Design, build, and maintain high-throughput data platform and pipeline components using Spark and Kafka.

• Debug, tune, and optimize Spark jobs and Kafka pipelines to manage growing data volumes.

• Collaborate with product, professional services, and sales engineering teams on architecture design and technical trade-offs.

• Establish and refine technical standards, system documentation, and best practices across the engineering team.

• Mentor junior and mid-level engineers on complex technical issues and pipeline performance.

Required Qualifications

• Minimum 5 years of experience in data engineering or big data platform development.

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.

• Demonstrated experience designing, building, and optimizing distributed pipelines using Apache Spark and Apache Kafka.

• Hands-on experience scaling data platform infrastructure to process high-volume/high-throughput transaction workloads.

Preferred Qualifications

• Experience working with high-volume, multi-tenant enterprise platform environments.

• Proficiency in Scala, Java, or Python for data processing applications.

• Proven experience mentoring junior or mid-level engineering team members.