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