3 meilleures offres (data engineer, kitchener waterloo, on) (à pourvoir)

MLOps & Data Engineer
Palitronica —Waterloo, ON
- De 90 000 $ à 120 000 $ par an
- Azure
- Dépannage de logiciel
- SQL
il y a 4 jours
Senior Staff Data Engineer - Platform Data and Analytics
Faire —Cambridge, ON
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- Télétravail
- Informatique
- Ingénierie
- SQL
- Programme d'Aide aux Employés
Senior Data Engineer
CarePartners —Waterloo, ON
- De 100 000 $ à 120 000 $ par an
- Temps plein
- Azure
- Ingénierie
- SQL
- Assurance Dentaire
- Programme d'Aide aux Employés
il y a 11 jours

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MLOps & Data Engineer

Palitronica
Waterloo, ON

Postuler dès maintenant

Détails du poste

Permanent
Il y a 4 jours

Compétences

Expérience en développement de données
Optimisation des performances
Génie logiciel
Développement de l'automatisation des tests en assurance qualité
Modélisation de données
Azure
Droit
Dépannage de logiciel
Bases de données relationnelles
Git
Expérience en données et base de données
SQL
Apprentissage automatique
Gestion des données
Conteneurisation
Modélisation statistique
APIs
S3
Métadonnée
Expérience en développement logiciel ou en architecture
Python
Débogage

Description complète du poste

Overview

Palitronica is seeking an MLOps & Data Engineer to develop, maintain, and extend the Python framework and data foundation behind our production machine-learning systems. Models and deployment workflows already exist. Your focus will be to keep the framework reliable and maintainable, improve how data is stored and accessed, and help Data Scientists move model changes safely into production.

This is a hands-on product engineering role. You will write production-quality, object-oriented Python and make pragmatic choices across relational databases, document databases, and object or file storage. Familiarity with Azure or AWS is useful, but this is not primarily a cloud-infrastructure role. Our current ML focus is classical and statistical modeling rather than LLM or RAG infrastructure

Responsibilities

Develop, maintain, extend, test, and document the object-oriented Python framework used for ML development, evaluation, packaging, deployment, and monitoring.
Turn Data Scientist requirements and experimental code into stable, reusable product components and interfaces.
Design data models, access patterns, and storage strategies across relational databases, document databases, and object or file storage.
Improve programmatic data access, framework interfaces, metadata, versioning, reproducibility, and operational traceability.
Support packaging, CI/CD, containerized workflows, monitoring, and recovery practices for data and ML workloads.
Diagnose performance, reliability, scaling, and data-quality problems across the framework and its integrations.
Contribute to technical decisions, review code from junior contributors, guide co-op students, and collaborate across Data Science, software, hardware, RF, and security.

Required Qualifications

3+ years of professional Python development, with a demonstrable record of shipping and maintaining object-oriented product code; 5+ years or equivalent depth is preferred.
Strong software-engineering fundamentals, including modular design, APIs, automated testing, packaging, profiling, debugging, and code review.
Hands-on experience designing and accessing production data systems using SQL, data models, schemas, and multiple database or storage approaches.
Practical familiarity with Azure or AWS and cloud-based storage; deep cloud-platform specialization is not required.
Practical experience with ML delivery workflows, CI/CD, containers, Git, versioning, and observability.
A working understanding of the ML lifecycle and the ability to partner effectively with Data Scientists without needing to own model research.
Ability to provide constructive code review and technical guidance to junior contributors and co-op students.
Clear communication, sound technical judgment, and the ability to work independently while taking growing ownership of systems used by other engineers and scientists.

Nice to Have

S3 or S3-compatible object storage, Azure Blob Storage, Cosmos DB, or comparable systems.
Sensor, time-series, spectral, RF, industrial, or other physical measurement data.
Performance tuning, caching, concurrency, or reliable handling of large datasets and files.

Export Control, Controlled Goods & Security Eligibility

This position requires direct or indirect access to hardware, software, or technical information controlled under the Canadian Export Control List, the Canadian Controlled Goods Program, the Canadian Industrial Security Program, the U.S. International Traffic in Arms Regulations (ITAR), and/or the U.S. Export Administration Regulations (EAR).
All applicants must be eligible or able to obtain authorization for such access, including eligibility for the Canadian Controlled Goods Program, and must be able to obtain a Canadian NATO Secret clearance.

Why Join Palitronica?

Work with cutting-edge technology at the intersection of cybersecurity, AI, and advanced electronics testing.
Help protect critical supply chains and infrastructure.
Join a high-growth company serving some of the world's most demanding industries.
Collaborate with a talented and mission-driven team.
Make a measurable impact on the company's growth trajectory.
Palitronica is an equal opportunity employer and welcomes applications from all qualified candidates.

Use of AI in Hiring

Palitronica may use artificial intelligence tools to assist with the screening or assessment of applicants. These tools are used strictly as an aid, and all hiring decisions are made by human reviewers.

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