TL;DR

Principal Data Engineer (Data Science/ML): Build and maintain production-grade data pipelines and tools to improve the Security Intelligence Graph with an accent on data convergence, pipeline scalability, and data quality. Focus on leading a team, designing technical solutions, and collaborating across teams to drive impactful data analytics and intelligence.

Location: Boston, MA, onsite

Salary: $152,000–$228,500

Company

%hirify_global% is the world’s most advanced and largest intelligence company, serving over 1,900 clients worldwide with a focus on cybersecurity intelligence.

What you will do

Develop, productize, monitor, and maintain scalable data pipelines for the Security Intelligence Graph
Lead and mentor a team of Data Engineers, providing guidance and best practices
Build tools and APIs to facilitate data access and analytics
Analyze data patterns to support business-critical decisions
Create and execute technical project plans in collaboration with product and development teams
Drive Agile scrum meetings and sprint planning

Requirements

Location: Must be able to commute to Somerville, MA office 1-3 days per week
6+ years of Python programming experience
2+ years experience with cloud computing tools (AWS, Azure, or Google Cloud)
1+ years of leadership or mentoring experience
Experience building scalable production-grade ETL/ELT pipelines and applications
Strong problem-solving and data analysis skills
Excellent communication skills for cross-location collaboration

Nice to have

Experience with batch and streaming pipelines
Familiarity with message buses (Kafka, RabbitMQ), NoSQL databases (MongoDB, AWS Neptune, Neo4j), ElasticSearch
Exposure to ML approaches and productizing ML models
Experience developing REST APIs with Python frameworks (Flask, Django, FastAPI)

Culture & Benefits

Diverse and inclusive environment with over 40 nationalities
Competitive salary with incentive compensation, equity, and comprehensive benefits including medical, dental, vision, life insurance, and 401K
High standards and ethical values
Collaboration with a global team of intelligence professionals

Hiring process

Mandatory in-person interview or live scheduled video conference with the hiring manager
No interviews via instant messaging or text
All communications come from HR via official %hirify_global% email addresses