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Nutanix

Member of Technical Staff 3- DataHub

Vancouver, BC, Canada

Pay: $132,000 to $198,000 CAD / year
Job type: Full-time
Apply by: Oct 23, 2026
Experience: Education & Experience: You recently completed a Bachelor's/Master's degree in Computer Science or a related Engineering field with 3-6 years of relevant work experience
Posting language: English
Posted: Sep 23, 2026

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Original job description

Hungry, Humble, Honest, with Heart.

The Opportunity

Are you an enthusiastic early-career engineer passionate about building secure AI infrastructure from the ground up? Join Nutanix to help develop our DataHub platform - an enterprise data hub and identity middleware engine positioned between raw infrastructure/SaaS platforms and downstream search, retrieval, and AI application clients. This is your chance to work with cutting-edge technology, automating data ingestion, sensitive data classification, security governance, and identity-aware retrieval. Be at the forefront of enterprise data innovation in a collaborative environment that fosters hands-on growth and mentorship.

About The Team

At Nutanix, you'll join the DataHub team, a geo-dispersed group of talented professionals dedicated to pushing boundaries and delivering trusted enterprise data solutions. Our team's diverse skill sets enable us to solve complex challenges in enterprise search, data access, and governance while supporting one another in a dynamic atmosphere.

You will report to the Technical Director, who is committed to mentoring junior team members and fostering an inclusive environment. The work setup is hybrid, requiring you to be in the office at our Vancouver office three days a week for valuable in-person collaboration. There are very mild travel requirements for this position.

Your Role

Design and construct enterprise-grade connectors for varied data sources.
Implement robust access control policies to eliminate unauthorized data exposure during search queries.
Create and refine CPU-optimized and GPU based text classification rules and metadata tagging to detect and safeguard sensitive information (PII, PHI, financial records, credentials) using Regular Expressions (Regex) and Named Entity Recognition (NER).
Develop and write clean unit and integration tests for document extraction, classification, and ingestion pipelines.
Partner with senior engineering staff to design, test, and enhance enterprise search and retrieval pipelines.

What You Will Bring

Education & Experience: You recently completed a Bachelor's/Master's degree in Computer Science or a related Engineering field with 3-6 years of relevant work experience
Programming Languages: Strong proficiency in Python, Golang, or modern backend engineering technologies.
Architecture Awareness: Exposure to vector databases, enterprise storage solutions, REST APIs, Retrieval-Augmented Generation (RAG) architectures, and identity-aware search/retrieval systems.
Core Engineering Concepts: Solid foundation in data structures, enterprise-grade security standards, and Git-based version control.
Text Classification & NLP (Good to Have): Familiarity with regex pattern matching, entity recognition libraries (e.g., spaCy, MedSpaCy, NLTK), and techniques for validating sensitive data types.
Mindset: Self-motivated, growth-oriented, and eager to be mentored by seasoned technical leaders.

Work Arrangement

Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. In locations where our workplace policy applies (i.e. San Jose, Durham, Mexico City, Bangalore, Pune, Hoofddorp, Belgrade, Barcelona, Singapore, Sydney and Tokyo), employees are expected to work onsite a minimum of 3 days per week to foster collaboration, team alignment, and access to in-office resources. Workplace type may vary based on location and team requirements. Please speak with your recruiter for details. Additional team-specific guidance and norms will be provided by your manager.

The pay range for this position at commencement of employment is expected to be between CAD $ 132,000 and CAD $ 198,000 per year.

However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Our application deadline is 40 days from the date of posting. In good faith, the posting may be removed prior to this date if the position is filled or extended in good faith.

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More about this job

Responsibilities

Design and build enterprise data connectors, access controls, and ingestion and retrieval pipelines that protect sensitive information and prevent unauthorized data exposure. Develop CPU-optimized and GPU-based classification and metadata tagging, write unit and integration tests, and collaborate with senior engineers to improve enterprise search and retrieval.

Requirements

A recently completed bachelor's or master's degree in computer science or a related engineering field and 3–6 years of relevant experience are requested. Candidates should have strong Python, Golang, or backend engineering skills, a foundation in data structures, security, and Git, and exposure to vector databases, REST APIs, enterprise storage, RAG, and identity-aware retrieval; NLP and sensitive-data classification familiarity is a plus.

Skills

Python
Golang
Backend Engineering
Enterprise Data Connectors
Access Control
Data Classification
Regular Expressions
Named Entity Recognition
Natural Language Processing
Unit Testing
Integration Testing
Enterprise Search
Retrieval-Augmented Generation
Vector Databases
REST APIs
Git

Benefits

Sign-On Bonus
Restricted Stock Units
Medical Benefits
Financial Benefits
401(k)
Vacation Leave
Sick Leave
Parental Leave

Visa sponsorship

Not detected in the job text

Keywords

DataHub
Enterprise Data Hub
Identity Middleware
Python
Golang
Backend Engineering
Data Ingestion
Enterprise Data Connectors
Access Control
Security Governance
Sensitive Data Classification
Personally Identifiable Information
Protected Health Information
Regular Expressions
Named Entity Recognition
spaCy
MedSpaCy
NLTK
Vector Databases
Enterprise Storage
REST APIs
Retrieval-Augmented Generation
Identity-Aware Search
Enterprise Search
Unit Testing
Integration Testing
Data Structures
Git
CPU Optimization
GPU-Based Classification

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