TL;DR

Manager Data Engineering (Data Science/ML): Leading a team to design and implement data platforms, services, and ETL pipelines for the %hirify_global% Data Lake with an accent on cloud application development and big data technologies. Focus on managing cross-functional teams, driving production deployments, and improving data engineering processes.

Location: Hybrid in Burnaby, Canada

Salary: $135,600–$204,380 USD

Company

%hirify_global% provides cloud-first networking and security solutions protecting 70% of the Fortune 500, recognized for excellence in cybersecurity infrastructure.

What you will do

Lead and manage a team of software and data engineers in daily development, code review, and deployment activities.
Coordinate with developers, analysts, data scientists, and product managers to gather requirements and deliver solutions.
Develop cloud-based applications using Python, Golang, and AWS technologies.
Build and maintain robust ETL pipelines and Kubernetes applications for big data curation and refinement.
Identify process improvements through metrics and monitoring services.
Recruit and support career growth of engineering team members.

Requirements

Location: Must be able to work in Burnaby, Canada (hybrid)
10+ years of data engineering experience with 2+ years managing teams.
Proficiency in Python, Golang, Scala, or Java.
Experience with big data technologies such as MapReduce, Spark, Kafka, Hive, HBase, Hadoop.
Expertise in Kubernetes and AWS cloud development.
Strong leadership, coaching, and ability to handle ambiguity.
Master’s degree in Computer Science, Computer Engineering, or related technical field.

Culture & Benefits

Comprehensive health coverage, generous PTO, and flexible work options.
Learning opportunities, career mobility programs, and leadership workshops.
Paid volunteer hours, global employee resource groups, and a respectful collaborative environment.
Modern offices with amenities including EV charging and healthy snacks.
Charitable giving program with company match.
Pay transparency and performance-based rewards.