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Principal Data Engineer

29 minutes ago
United States
Full-time
Lead
Data Engineer
Software Development
Argo CD AWS Cybersecurity Django Elasticsearch FastAPI Flask Kafka Kubernetes LLM MongoDB Neo4j Prefect Python RabbitMQ REST API
Apply Now
Recorded Future

Recorded Future

Recorded Future is the leading threat intelligence platform, empowering organizations to identify and mitigate threats across various domains with real-time, unbiased, and actionable intelligence.

Professional Services
251-1K
Founded 2009
$58M raised
View All Jobs 24

Description

  • Identify, scope, and own technical solutions that enable data convergence across Digital Risk Protection systems and data streams.
  • Work with the Malicious Sites, Identity, and Surface Web teams to align, analyze, and ingest digital risk data into the Intelligence Graph.
  • Develop, productize, monitor, and maintain DRP-focused data pipelines that process data at scale.
  • Build tools and APIs that provide access to data and analytics from Digital Risk Protection systems and the Intelligence Graph.
  • Analyze and explain patterns in digital risk data to support business-critical decisions.
  • Create technical project plans and drive execution of DRP initiatives with Product and engineering partners.
  • Mentor direct reports and help raise the overall capability of the team.
  • Collaborate with technical leaders across geographies and divisions to design technical approaches and deliver projects.

Requirements

  • 5+ years of Python programming experience.
  • 3+ years of experience with message buses such as Kafka or RabbitMQ, MongoDB, graph databases such as AWS Neptune or Neo4j, cloud computing tools, and Elasticsearch.
  • Preferred experience with orchestration tools such as Argo CD, Kubernetes, or Prefect.
  • Experience with AI approaches and productizing flagship LLM output.
  • Experience developing REST APIs with Python frameworks such as Flask, Django, or FastAPI.
  • Experience architecting and delivering production-grade applications and ETL/ELT pipelines.
  • Experience applying statistical techniques to draw accurate, impactful conclusions.
  • Leadership experience.
  • Strong written and verbal communication skills for cross-functional collaboration, documentation, and stakeholder presentations.
  • Proven success architecting, leading, and delivering high-impact projects.
  • Strong problem-solving skills, including debugging both software and data.
  • Excellent attention to detail and ability to work independently.
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Engineering, or equivalent experience.

Benefits

  • Base salary range of $152,000 to $228,500.
  • Eligibility for incentive compensation.
  • Eligibility for equity.
  • Medical, dental, and vision insurance.
  • Life insurance and 401(k).
  • Accommodation support during the application process.
  • Mandatory in-person or live video final-round interview process.

Interested in this position?

Apply directly on the company website

Apply Now

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