TL;DR

Team Lead, Data Engineering (AI): Leading a team of developers to build and optimize data pipelines for ingesting and analyzing security intelligence data with an accent on technical solution ownership and project execution. Focus on mentoring the team, driving Agile processes, and collaborating with data scientists and business leaders to implement scalable technical solutions.

Location: Onsite in Boston, MA. Mandatory in-person interview required for final-round candidates. This position is open to new hire salaries across all US locations.

Salary: $129,000–$193,500

Company

%hirify_global% is the world’s most advanced and largest intelligence company, combating cybersecurity threats by delivering actionable intelligence from its Security Intelligence Graph.

What you will do

Lead and mentor a team of 3-4 data developers.
Plan team goals and lead Agile scrum meetings.
Develop data pipelines for large-scale data analysis and ingestion.
Identify, scope, and own technical solutions for project execution.
Create technical project plans and drive project execution with product and development teams.
Collaborate with Data Scientists, Data Engineers, and business leaders.

Requirements

1+ years of previous team leadership experience.
5+ years of programming and Data Science experience, including 1+ year with Python.
3+ years of experience with cloud computing tools (AWS, Azure, or Google Cloud).
Experience writing scalable, production-grade applications and ETL/ELT pipelines.
Efficient problem-solving and debugging skills for software and data.
Proven ability to analyze data and apply statistical techniques.
Excellent written and verbal communication for technical collaboration and documentation.

Nice to have

Familiarity with batch and streaming pipelines.
Experience with message buses (Kafka, RabbitMQ) and NoSQL databases (MongoDB, AWS Neptune, Neo4j), ElasticSearch.
Exposure to ML approaches, including productizing ML models.

Culture & Benefits

Diverse team with over 40 nationalities.
Core values: high standards, inclusion, ethical conduct.
Eligible for incentive compensation, equity, and comprehensive US benefits (medical, dental, vision, life insurance, 401K).
Commitment to maintaining a diverse and inclusive environment.
Support for accommodations and special assistance during application.

Hiring process

Mandatory in-person interview or live, scheduled video conference with the hiring manager for final-round candidates.
No interviews via instant messaging or text.
All communications from individuals within the HR department via %hirify_global% email address.