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 CybersecAsia’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.
Associate Data Engineer
We have an opportunity for an Associate Data Engineer to join our Data Engineering Team in Tacoma, reporting to the Director, Engineering. In 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 You’ll Do
- Curate and 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 and maintain a 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
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: Focus on mastering the tech stack (Python, Spark, Databricks) and understanding data sources, workflows, and pipelines. Contribute to production-ready code by submitting PRs, adding unit tests, and refactoring or porting legacy scripts. Assist data scientists and analysts in curating large datasets and converting prototypes into production-ready solutions. Develop basic data quality monitoring scripts and demonstrate the ability to handle well-scoped tasks independently while actively participating in design discussions and sprint ceremonies.
One Year: Own and deliver at least one end-to-end data pipeline, driving improvements in performance, reliability, or cost-efficiency. Implement advanced monitoring, automation, and schema management strategies for critical data sources. Consistently contribute high-quality, tested code while reviewing peers’ work and providing constructive feedback. Act as a go-to engineer for specific data domains, mentor new hires, and propose innovative approaches to data modeling or summarization that enhance analytics capabilities and long-term platform scalability.
Belong— Your Community
Our culture thrives on inclusion, rewarding the bold ideas, curiosity, and creativity that move us forward. In a community where every voice counts, continuous learning is the norm. So, whether you code, create, sell, or care for customers, you’ll grow and belong here.
Be Rewarded — Benefits That Help You Grow, Thrive, Belong
- Comprehensive health coverage, generous PTO, and flexible work options
- Learning opportunities, career-mobility programs, and leadership workshops
- Sixteen paid volunteer hours each year, global employee resource groups, and a “No Jerks” policy that keeps collaboration healthy
- Modern offices with EV charging, healthy snacks (and the occasional cupcake), plus hackathons, game nights, and culture celebrations
- Charitable Giving Program supported by Company Match
- We practice pay transparency and reward performance. Offers reflect role location, internal equity, experience, skills, education, and certifications. Base salary for this position: $81,500 - 117,370 plus corporate bonus.
Ready to Be the Difference?
Infoblox is an Affirmative Action and Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis
#LI-MP1
#LI-Hybrid
Skills Required
- Experience with Python 3 and Apache Spark
- Exposure to data engineering, data science, or related data-centric fields using large-scale data environments
- Proficiency in object-oriented design and SOLID principles
- Strong emphasis on unit testing and code quality
- Experience with Bash shell scripting on Linux or macOS
- Experience with asynchronous, threading, and parallel programming
- Exposure to machine learning, generative AI, or data platforms supporting AI/ML workloads
- Familiarity with large language models, vector databases, embeddings, or retrieval-augmented generation concepts
- Experience with Scala
- Bachelor's degree in Computer Science or a related field, or equivalent work experience
Infoblox Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Infoblox and has not been reviewed or approved by Infoblox.
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Wellbeing & Lifestyle Benefits — Company materials emphasize health and insurance for employees and families, mental-wellbeing resources, wellness programs, ERGs, and community/connection perks. Office amenities such as free lunches on collaboration days, massages, snacks, fitness centers, and EV charging are highlighted in key sites.
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Leave & Time Off Breadth — Time off is described to include “unlimited” PTO in the U.S., a year-end shutdown, and 16 hours of paid volunteer time annually. These elements indicate breadth in paid time away offerings.
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Strong & Reliable Incentives — Sales compensation is presented with six-figure bases and tiered OTEs, indicating strong upside when targets are met. Public sales community data signals competitive OTEs for roles like sales engineers and AEs when attainment is achieved.
Infoblox Insights
What We Do
Infoblox unites networking and security to deliver unmatched performance and protection for a world that never stops. By providing real-time visibility and control over who and what connects to the network, we use intelligent DNS and user context to stop threats other solutions will miss, enabling organizations to build safer, more resilient environments. We’re continually supporting more than 13,000 customers—including 92 of Fortune 100 companies, as well as emerging innovators—by building the brightest, most diverse teams and by thoughtfully engineering intelligent networking and security solutions for an increasingly distributed world.
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