Data Engineer

At Infoblox, every breakthrough begins with a bold“what if.”
What if
your ideas could ignite global innovation?
What if
your curiosity could redefine the future?

We invite you to step into the next exciting chapter of
your
career journey. Bring your creativity, drive, your daring spirit, and feel what it’s like to thrive on a team big enough to make an impact, yet small enough to make a difference. Our cloud-first networking and security solutions already protect
70% of the Fortune 500
, and we’re looking for creative thinkers ready to push that influence even further. Join us and discover how far your bold “what if” can take the world, your community, and your career.

Here, how we empower our people is extraordinary:
Glassdoor Best Places to Work 2025, Great Place to Work-Certified in five countries, and Cigna Healthy Workforce honors three years running
— and what we build is world-class:recognized as
Cybersec Asia’s Best in Critical Infrastructure 2024
—evidence that when first-class technology meets empowered talent, remarkable careers take shape. So,
what if
the next big idea, and the next great career story, comes from you? Become the force that turns every “what if” into “what’s next”.

In a world where you can be anything,
Be Infoblox
.

We have an opportunity for a Staff Data Engineer to join our Cloud Engineering team in Burnaby, BC, reporting to the Director, Data Engineering. In this role, you will develop platforms and products for Infoblox’s SaaS product line delivering next level networking for our customers. This is an opportunity to work closely with data scientists and product teams to curate and refine data powering our latest cloud products.

Come join our growing Cloud Engineering team and help us build world class solutions!

Be a Contributor — What You’ll Do

• Curate very large-scale data from a multitude of sources into appropriate sets for research and development for the data science, threat analysts, and developers across the company.
• Design, test, and implement storage solutions for various consumers of the data.
• Design and implement mechanisms to monitor data sources over time for changes using summarization, monitoring, and statistical methods.
• Design, develop, and maintain APIs that enable seamless data integration and retrieval processes for internal and external applications. Ensure that these APIs are scalable, secure, and efficient to support high-volume data interactions.
• Leverage computer science algorithms and constructs, including probabilistic data structures, to distill large data into sources of insight and enable future analytics.
• Convert prototypes into production data engineering solutions through disciplined software engineering practices, Spark optimizations, and modern deployment pipelines.
• Collaborate on design, implementation, and deployment of applications with the rest of software engineering.
• Support data scientists and product teams in building, debugging, and deploying Spark applications that best leverage data.
• Build and maintain tools for automation, deployment, monitoring and operations.
• Create test plans, test cases, and run tests with automated tools.

Be Prepared — What You Bring

• 12+ years of experience with high level language such as Golang, Python, Scala, or Java
• 5+ years of experience in data engineering, data science, and related data-centric fields
  using large-scale data environments
• Experience working with data warehouses like Open Search, Click House, Redshift etc.
• Experience in building high throughput APIs using Cubes
• Good exposure in application performance tuning, memory management, scalability
• Ability to design highly scalable distributed systems using different open-source technologies
• Experience building high-performance algorithms
• Bachelor’s degree in CS, CE or EE is required and Masters in CS, CE, or EE is preferred

Be Successful — Your Path

First 90 Days:Immerse in our culture, connect with mentors (Blox Buddies), and map the systems and meet with key stakeholders that rely on your work. Discuss and create short/long term goals.

Six Months:Complete onboarding by demonstrating knowledge of the Data Lake and associated technologies and CI/CD processes by…