Senior Big Data Engineer - Security Research / Detection

sentinellabs; United States; Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Restricted Stock Units

Employee Stock Purchase Plan

Performance-based bonus

Five weeks of paid time off plus flexi

Private medical care and life保险

Job summary

sentinellabs in the United States seeks a senior data engineer to build the infrastructure powering cybersecurity threat detection research. You will design, implement, and maintain data pipelines processing petabytes of telemetry daily, enabling data scientists to uncover threats that matter.

You will collaborate with researchers to deploy scalable data solutions on cloud data warehouses, ensuring data quality, observability, and governance across platforms while emphasizing reliability and

Qualifications

• 4+ years of experience in data engineering, data architecture, or distributed systems.
• Proficiency in Python, Java, Scala, or a similar language.
• Hands-on experience with cloud platforms such as AWS, GCP, or Azure.
• Experience deploying big data technologies such as Apache Spark, Hadoop, Hive, Iceberg, or Trino.
• Familiarity with data warehousing concepts and technologies.
• BS or higher in Computer Science, Software Engineering, Statistics, Mathematics, or a related field (relevant experience may substitute for a degree).
• Experience leading cross-functional projects between R&D and product teams.

Responsibilities

• Design, build, and maintain scalable data pipelines processing petabytes of security data per day for research purposes
• Develop production-grade pipelines applying software engineering best practices
• Operate big data infrastructure and cloud data warehouses with a focus on reliability and performance
• Partner with data scientists and security researchers to deliver impactful data solutions that support threat detection
• Ensure data quality, observability, and governance across the platform

Skills

Python

Java

Scala

Education

BS or higher in CS/SE/Stats/Math

Tools

Apache Spark

Hadoop

Hive

Iceberg

Trino

AWS

GCP

Azure

Job description

Role overview

A senior data engineering role building the infrastructure that powers cybersecurity threat detection research. The work focuses on designing, building, and maintaining data systems that allow data scientists and security researchers to make sense of petabytes of telemetry and uncover the threats that matter.

Responsibilities

• Design, build, and maintain scalable data pipelines processing petabytes of security data per day for research purposes
• Develop production-grade pipelines applying software engineering best practices
• Operate big data infrastructure and cloud data warehouses with a focus on reliability and performance
• Partner with data scientists and security researchers to deliver impactful data solutions that support threat detection
• Ensure data quality, observability, and governance across the platform

Requirements

• 4+ years of experience in data engineering, data architecture, or distributed systems
• Proficiency in Python, Java, Scala, or a similar language
• Hands-on experience with cloud platforms such as AWS, GCP, or Azure
• Experience deploying big data technologies such as Apache Spark, Hadoop, Hive, Iceberg, or Trino
• Familiarity with data warehousing concepts and technologies
• BS or higher in Computer Science, Software Engineering, Statistics, Mathematics, or a related field (relevant experience may substitute for a degree)
• Experience leading cross-functional projects between R&D and product teams

Nice to have

• Experience with data visualization tools such as Tableau, Power BI, or Grafana
• Strong problem-solving skills with the ability to design innovative solutions to complex problems
• Excellent communication skills, including the ability to explain complex data and models to varied stakeholders

Benefits and work setup

• Restricted Stock Units, Employee Stock Purchase Plan, and performance-based bonus
• Five weeks of paid time off plus flexible time off, paid wellness days, and gender-neutral parental leave
• Private medical care, life and disability insurance, pension contributions, and an Employee Assistance Program
• Global home office allowance, meal allowance, wellbeing allowance, and a multi-sport benefit program
• Hybrid work from Prague or Brno, with at least two days per week in the office for Prague-based employees; remote within Czechia/Slovakia also considered