Senior Data Engineer

What you'll do

• Design and implement large-scale production data pipelines using Apache Spark.
• Develop and optimize complex data models for mission-critical information security capabilities.
• Build and maintain high-performance, data-intensive systems in hyper-scale distributed computing environments.
• Implement relational and medallion data architectures to support organizational goals.
• Support ML/AI workflows including feature engineering for analytics and reporting use cases.
• Develop semantic models and knowledge graphs to solve complex data challenges.
• Conduct code reviews and mentor engineers on technical best practices and documentation.
• Implement data quality frameworks, validation techniques, and governance compliance measures.

What we're looking for

• 4 years of experience designing and implementing relational and medallion data architectures.
• 4 years of experience designing and implementing production data pipelines at scale.
• 4 years of proficiency with JVM languages (Scala or Java preferred), Spark, Golang, or Swift.
• 5+ years of experience in data engineering and expertise with data modeling (preferred).
• 5+ years of experience with JVM languages: Java or Scala (preferred).
• 5+ years of experience with big data platforms (preferred).
• Experience with ML/AI workflows, knowledge graphs, cloud environments, and data governance (preferred).
• Experience mentoring engineers, conducting code reviews, and contributing to technical documentation (preferred).