Associate 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 its 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 were 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: recognizedas CybersecAsias 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 whats next.

In a world where you can be anything Be Infoblox.

Associate Data Engineer

We have an opportunity for an Associate Data Engineer to join our Data Engineering Team in Tacoma reporting to the Director this pivotal role you will be at the heart of enabling data-driven insights across customer networks. Collaborating closely with data scientists and analysts you will work to curate and deliver high-quality data that powers key business and product decisions.

Be a Contributor What Youll Do

• Curateand manage large-scale data from multiple sources to support data science and threat analytics research and development
• Design and implement data source monitoring using summarization statistical methods and anomaly detection
• Apply computer science algorithms including probabilistic data structures to extract insights from large datasets
• Productionize prototypes into scalable data engineering solutions using Spark optimizations and modern CI/CD pipelines
• Build andmaintaina robust research cloud environment with a focus on reliability monitoring and architecture improvements
• Collaborate with software engineers on the design implementation and deployment of data-driven applications
• Enable data scientists and analysts by supporting Spark application development debugging and deployment
• Integrate large language models (LLMs) with existing data platforms and data sources to enable AI-powered analytics automation and user experiences
• Build and maintain data pipelines retrieval systems and metadata services that support generative AI applications including Retrieval-Augmented Generation (RAG) workflows
• Develop and support integrations with Model Context Protocol (MCP) servers and AI tooling to enable secure and scalable access to enterprise data
• Collaborate with data scientists ML engineers and software engineers to operationalize AI solutions and ensure high-quality data is available for model training evaluation and inference

Be Prepared What You Bring

• Experience with Python3 and Spark; Scala experience is helpful
• Exposure to data engineering data science and related data-centric fields using large-scale data environments
• Proficient in Object Oriented Design and S.O.L.I.D principles
• Strong emphasis on unit testing and code quality
• Experience with bash shell script on Linux or MacOS
• Experience with async threading parallel programming
• Exposure to machine learning generative AI or data platforms that support AI/ML workloads
• Familiarity with modern AI technologies such as large language models (LLMs) vector databases embeddings or retrieval-augmented generation (RAG) concepts is a plus
• BS in Computer Science or a related field or equivalent work experience required