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обновлено 2 месяца назад

Data Engineer (Cyber-Intel)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US

Описание вакансии

Текст:
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TL;DR

Data Engineer (Cyber-Intel): Driving massive data discovery and classification for the Zero Trust initiative with an accent on deploying advanced discovery platforms like BigID and NetApp BlueXP. Focus on configuring tools to crawl structured, semi-structured, and unstructured data, building a real-time map of sensitive data, and optimizing scanning operations without degrading network performance.

Location: Onsite in Tampa, FL

Company

hirify.global is a rapidly growing government contractor providing leading-edge support to federal customers, with a particular focus on Defense and National Security mission sets.

What you will do

  • Deploy and manage BigID and NetApp BlueXP scanners across hybrid environments.
  • Connect discovery tools to enterprise databases (SQL Server, Oracle, PostgreSQL) to scan schemas and columns for sensitive indicators without impacting database performance.
  • Configure scans for massive file repositories (NetApp NAS, QNAP, SharePoint On-Premises), optimizing scan windows and throttling to prevent latency for mission users.
  • Utilize Microsoft Purview Data Map and custom connectors to inventory data residing in AWS S3 buckets, Azure Blobs, and Data Lakes.
  • Collaborate with mission owners to train Machine Learning (ML) classifiers to recognize unique USSOCOM data types and reduce false positive rates in the data inventory.

Requirements

  • BA/BS or MA/MS (preferred).
  • Years Exp: 3-10.
  • CompTIA Security+ CE (or higher) to meet DoD 8570 IAT Level II requirements.
  • Active Top-Secret clearance with SCI eligibility.
  • Certified Kubernetes Administrator (CKA).
  • Proven experience deploying and managing enterprise data discovery and governance platforms such as BigID, Varonis, NetApp BlueXP (Data Sense), or Informatica.
  • Strong understanding of storage protocols (NFS, SMB/CIFS, S3) and database structures (SQL, NoSQL) to troubleshoot connectivity and scanning access.
  • Proficiency with Kubernetes and Docker, as many modern discovery collectors are deployed as containerized microservices.
  • Experience dealing with large-scale data inventories (Petabyte scale) and understanding of data lineage and provenance concepts.

Nice to have

  • Experience with Microsoft Purview Data Map (formerly Azure Purview).
  • Knowledge of Regex for custom data pattern definition.
  • Background in Data Engineering or ETL pipeline development.
  • Familiarity with USSOCOM network architecture and storage standards.
  • Azure Data Engineer Associate or BigID Certified Professional.

Culture & Benefits

  • Vibrant corporate culture diverse in expertise and perspectives with a focus on collaboration and innovation.
  • Teams are at the frontier of the Nation’s most complex and rewarding challenges.