Senior Data Engineer (Cybersecurity Focus)
Join a fast-paced cybersecurity organization as a Senior Data Engineer to build large-scale data systems for threat detection, correlation, and automated remediation. 8-10+ years of Data Engineering experience required. Strong Python and AWS experience necessary.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
🚀 We’re Hiring: Senior Data Engineer (Cybersecurity Focus)
📍 New York City / Plano, TX (3 days onsite, 2 days remote)
🔁 12-month contract (likely extensions)
📦 Open to relocation candidates
We’re looking for a Senior Data Engineer to join a fast-paced cybersecurity organization building large-scale data systems that power threat detection, correlation, and automated remediation — including GenAI-driven security tools used by both operations teams and leadership.
This is a data engineering–first role (~80% DE / ~20% ML exposure). Strong engineering fundamentals matter far more than tool familiarity.
- Build and maintain large-scale, high-volume data pipelines
- Design robust ETL/ELT workflows using PySpark, Spark, and Databricks
- Develop and optimize data systems on AWS (S3, Glue, EMR, Lambda, etc.)
- Work with streaming & near real-time data (Kafka, APIs, micro-batching)
- Support cybersecurity analytics, log processing, and threat detection use cases
- Ensure pipelines are scalable, reliable, and production-grade
- Collaborate closely with data science, cybersecurity, and platform teams
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- 8–10+ years of Data Engineering experience (10+ preferred)
- Strong Python for data engineering (pandas, DataFrames)
- Deep hands-on experience with PySpark / Apache Spark
- Proven work with Databricks
- Strong AWS experience (especially S3 + data services ecosystem)
- Experience designing end-to-end data pipelines at scale
- Solid understanding of data modeling & SCD (Slowly Changing Dimensions)
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- Hands-on or strong exposure to Kafka (consumer-side understanding required)
- API-based integrations
- Experience with high-volume systems (not just light micro-batching)
- Ability to explain tradeoffs between batch vs micro-batch vs streaming architectures
⭐ Nice to have- Java exposure (not mandatory)
- Cybersecurity domain experience
- Experience with high-throughput or real-time data platforms
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