TL;DR

Team Lead Data Engineering (Data Science/ML): Lead a team to develop scalable data pipelines and ingest data at scale with an accent on cloud computing, data science, and production-grade ETL pipelines. Focus on mentoring, Agile leadership, and collaborating with data scientists and engineers to deliver high-quality technical solutions.

Location: Boston, MA, onsite

Salary: $129,000-$193,500

Company

%hirify_global% is the world’s most advanced and largest intelligence company specializing in cybersecurity threat intelligence with over 1,000 professionals serving 1,900+ clients worldwide.

What you will do

Lead and mentor a team of 3-4 developers, plan goals, and lead Agile scrum meetings.
Develop scalable data pipelines and ingest data at scale.
Identify, scope, and own technical solutions for successful project execution.
Create technical project plans and collaborate with product teams and developers.
Collaborate with data scientists, data engineers, and business leaders to implement solutions.

Requirements

Location: Must be able to commute to Somerville, MA office 1-3 days per week
1+ years of team leadership experience.
5+ years programming and data science experience including Python.
3+ years experience with cloud computing tools (AWS, Azure, or Google Cloud).
Experience building scalable production-grade applications and ETL/ELT pipelines.
Excellent communication skills for collaboration across locations and timezones.

Nice to have

Familiarity with batch and streaming pipelines.
Experience with message buses (Kafka, RabbitMQ), NoSQL databases, ElasticSearch.
Exposure to ML approaches and productizing ML models.
Experience developing REST APIs with Python frameworks.

Culture & Benefits

Diverse team with over 40 nationalities and core values of high standards, inclusion, and ethics.
Competitive salary with incentive compensation, equity, and comprehensive benefits including medical, dental, vision, life insurance, and 401K.
Commitment to equal opportunity and inclusive work environment.

Hiring process

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