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Principal Data Engineer

Recorded Future
CompanyRecorded Future
CategoryEngineering
LocationBoston
RemoteOn-site (inferred)
EmploymentNot stated
LevelLead
SalaryNot stated by the employer
Posted28 Jul 2026
Last verified1 Aug 2026
SourceEmployer career page (greenhouse)
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Description
With 1,000+ intelligence professionals serving over 1,900 clients worldwide, Recorded Future is the world’s most advanced, and largest, intelligence company! Recorded Future combats cyber security threats by delivering actionable intelligence from our various Digital Risk Protection data streams. We are looking for a Principal Data Engineer to drive improvements in the Digital Risk Protection department.  What You'll Do: Identify, scope, and own technical solutions necessary to achieve data convergence across Digital Risk Protection systems and data streams Mentor direct reports to bring out the best in all members of the team Work with the Malicious Sites, Identity, and Surface Web teams to align, analyze, and ingest digital risk data streams into Digital Risk Protection systems and the Intelligence Graph Develop, productize, monitor, and maintain DRP-focused data pipelines to analyze and ingest data at scale Build tools and APIs to facilitate access to data and analytics developed from Digital Risk Protection systems and the Intelligence Graph Analyze and explain patterns in digital risk data to drive business-critical decisions Create technical project plans and drive the successful execution of DRP initiatives, with input from our Product team and other developers on your team What You'll Bring: 5+ years of Python programming 3+ years of experience with  Message buses (e.g. Kafka, RabbitMQ), MongoDB, graph databases like AWS Neptune/Neo4j, cloud computing tools, and ElasticSearch  Preferred experience with orchestration tools such as Argo CD, Kubernetes, Prefect AI approaches and productizing flagship LLM output Developing REST APIs with Python frameworks (e.g. Flask, Django, FastAPI) Architecting and delivering production-grade applications and ETL/ELT pipelines Applying statistical techniques to draw accurate, impactful conclusions Leadership experience Ability to present information to stakeholders with varying levels of technical expertise Experience engaging with technical leaders across geographies and divisions/companies Excellent written & verbal communication when collaborating with colleagues across various locations and timezones, designing technical approaches, and writing documentation  Eagerness to continue learning and teaching new skills to team members, in order to raise the bar across the team Proven success in architecting, leading, and delivering high-impact projects  Efficient & accurate problem solving skills, including the ability to debug both software and data  Excellent attention to detail & ability to work independently while delivering high-quality results Bachelor's/Master's degree in Computer Science, Mathematics, Statistics, Engineering, or equivalent experience   The base salary range for this full-time position is $152,000- $228,500. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process. Why should you join Recorded Future? Recorded Future employees (or “Futurists”), represent over 40 nationalities and embody our core values of having high standards, practicing inclusion, and acting ethically. Our dedication to empowering clients with intelligence to disrupt adversaries has earned us a 4.6-star user rating on G2 and more than 50% of Fortune 100 companies as customers. Want more info?   Blog & Podcast : Learn everything you wan
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