14 meilleures offres (data engineer, burnaby, bc) (à pourvoir)

Data Platform Engineer
Beatdapp —Vancouver, BC
- Temps plein
- DevOps
- Réseaux informatiques
- APIs
Postuler rapidement
Data Engineer II, FO Data Engineering (SCDE)
Amazon Development Centre Canada ULC —Vancouver, BC
- De 103 300 $ à 172 600 $ par an
- Temps plein
- Java
- Bases de données
- AWS
- Régimes de participation aux bénéfices
- Assurance Dentaire
(Senior) Data Engineer (12-month Contract)
BCFSA —Vancouver, BC
- De 73 182 $ à 140 235 $ par an
- Temps plein
- Travail hybride
- Azure
- Oracle
- Informatique
il y a 1 jour
Senior Data Engineer
Mastercard —Vancouver, BC
- De 111 000 $ à 160 000 $ par an
- Temps plein
- Informatique
- Ingénierie
- Recherche
il y a 6 jours
Senior Data Engineer, Ingestion Framework - Data & AI Platform
Rivian and Volkswagen Group Technologies —Vancouver, BC
- De 96 000 $ à 128 000 $ par an
- Temps plein
- Travail hybride
- Informatique
- Maîtrise
- Baccalauréat
Lead Data Engineer
Two Circles —Vancouver, BC
- De 140 000 $ à 155 000 $ par an
- Temps plein
- Travail hybride
- Java
- SQL
- AWS
Postuler rapidement
Senior Analytics Engineer
Roofr —Vancouver, BC
- De 120 000 $ à 140 000 $ par an
- Télétravail
- SQL
- Analytique
- Congés payés
Postuler rapidement
Senior Data Engineer
Spring Financial Inc. —Vancouver, BC
- De 120 000 $ à 140 000 $ par an
- Temps plein
- Travail hybride
- SQL
- AWS
- Compétences en communication
- Assurance Dentaire
- Assurance Vision
Postuler rapidement
Business Intelligence Engineer II, SCOT - Fulfillment Optimization (FO)
Amazon Canada Fulfillment Services, ULC —Vancouver, BC
- De 76 400 $ à 127 600 $ par an
- Temps plein
- Oracle
- Bases de données
- SQL
- Régimes de participation aux bénéfices
- Assurance Dentaire
4 h
Senior Data Reliability Engineer - Central Technology
Activision —Vancouver, BC
- De 100 220 $ à 197 758 $ par an
- Temporaire
- Informatique
- Azure
- Ingénierie
- Jours fériés payés
- Assurance Invalidité
Lead Marketing Data & Analytics Engineer
Jetson Home —North Vancouver, BC
- Vente
- SQL
- AWS
Postuler rapidement
il y a 2 jours
Senior Data Engineer - Data Governance & DataOps
Pattison Food Group —Langley, BC
- De 108 405 $ à 135 506 $ par an
- Temps plein
- Informatique
- Ingénierie
- Maîtrise
il y a 1 jour
DataOS Data Engineer
Information Technology Senior Management Forum —Vancouver, BC
- De 105 050 $ à 161 800 $ par an
- Temps plein
- Azure
- Informatique
- Ingénierie
- Jours fériés payés
- Assurance Invalidité
il y a 1 jour
Forecasting Data Engineer
Information Technology Senior Management Forum —Vancouver, BC
- De 105 050 $ à 161 800 $ par an
- Temps plein
- Informatique
- Ingénierie
- Maîtrise
- Jours fériés payés
- Assurance Invalidité
10 h

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Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : data engineer (burnaby, bc)

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Data Platform Engineer

Beatdapp
Vancouver, BC

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Détails du poste

Temps plein

Compétences

CI/CD
Node.js
Kubernetes
DevOps
Spark
Chiffrement
Google Cloud Platform
Docker
Systèmes distribués
Terraform
Réseaux informatiques
GitHub
APIs
Kafka
Python

Description complète du poste

Data Platform Engineer Position

About Beatdapp

Beatdapp is a venture-backed startup delivering the most advanced streaming integrity and recommendation technology in the world. While our roots are in fighting the multi-billion dollar problem of streaming fraud, we have leveraged our "Trust & Safety Operating System" to power a new generation of discovery.

We believe that true personalization starts with verified behaviour. By filtering out noise and manipulated signals before they impact the model, we build recommendation engines on a foundation of clean, authentic data. To deliver these insights at a global scale, we require a robust, elastic, and secure infrastructure.

The Role

We are seeking a Data Platform Engineer who is passionate about building the high-availability systems and data infrastructure that power our recommendation engines at scale. In this role, you will be operating in the intersection of cloud infrastructure, distributed systems, and data engineering. You will be one of the architects of a system where trillions of data points are ingested, processed, and served as real-time recommendations.

You will take full ownership of multi-cluster Kubernetes environments and backend service layers, ensuring our API workloads scale seamlessly and our data pipelines are robust and reliable. You will bridge the gap between raw streaming data and the clean, high-quality signals our models depend on — ensuring the systems that move, store, and serve data remain fast, secure, and resilient.

Responsibilities

Data Engineering: Design, build, and maintain scalable data pipelines and processing workflows that move and transform high-volume streaming data across our platform. You will optimize batch and streaming workloads, manage data quality at ingestion, and ensure reliable delivery to downstream consumers including ML feature stores and serving layers.
Cloud Infrastructure & Orchestration: Manage and optimize multi-cluster Kubernetes (K8s) environments. You will implement sophisticated autoscaling policies and node management strategies to support high-availability ML workloads.
Production Deployment Excellence: Design and orchestrate live service deployments using strategies such as A/B testing and Canary releases. You will ensure the system supports seamless rollbacks and API versioning.
Infrastructure as Code (IaC): Design and maintain our infrastructure using IaC principles to ensure environment consistency and rapid disaster recovery.
End-to-End Observability: Take ownership of the logging, tracing, and metrics components across backend services and data pipelines. You will work together with Ops teams to define SLOs/error budgets, build dashboards, and maintain the health monitoring systems that keep our data infrastructure and RecSys engine running 24/7.
Security & Compliance: Partner with security teams to enforce patch management, secrets handling, and data encryption protocols to protect sensitive streaming data.
Systems Ownership: Automate routine operational tasks and environment provisioning. You will be a primary stakeholder for system uptime, managing outages with a critical-thinking mindset and clear communication.

Successful Candidates will have:

3+ years of professional experience in Backend, DevOps, and/or Data Engineering, preferably supporting data-intensive or ML applications at scale.
Kubernetes Experience: Deep familiarity with K8s, including experience with compute instances, network configuration (VPCs/Subnets), and scaling API workloads.
Strong Engineering Skills: Proficiency in writing clean, scalable backend services and data processing code, primarily in Python. You are comfortable writing production-grade code that handles large-scale data with stream processing, batch ETL, and API development in cloud-native environments.
CI/CD Expertise: Proven track record of building automated pipelines, managing image registries (Docker/Podman), and handling complex code versioning.
Architectural Fluency: A strong understanding of datastores (relational, non-relational, and columnar), distributed data systems, caching strategies, and data transfer protocols. Experience with streaming platforms (e.g. Kafka, Pub/Sub) or query engines (e.g. BigQuery, Spark) is a strong asset.
Security-First Mindset: Experience working with sensitive data, encryption, and secure cloud networking.

Bonus Points

Hands-on work experience with Google Cloud Platform (GCP) services
Hands-on work experience with Terraform
Service Mesh Experience: Hands-on work with Istio or Linkerd for Kubernetes.
Experience with data orchestration tools (e.g. Airflow), vector databases, or feature stores. Comfort operating in a data-intensive ML environment and familiarity with how backend systems support model serving pipelines.
Experience with GitHub Actions (GHA) and building highly automated, self-healing deployment workflows.
A strong feel for creating clear architecture diagrams, code commenting, and technical design documents.

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data engineer emplois - burnaby, bc

Data Platform Engineer

Data Engineer II, FO Data Engineering (SCDE)

(Senior) Data Engineer (12-month Contract)

Senior Data Engineer

Senior Data Engineer, Ingestion Framework - Data & AI Platform

Lead Data Engineer

Senior Analytics Engineer

Senior Data Engineer

Business Intelligence Engineer II, SCOT - Fulfillment Optimization (FO)

Senior Data Reliability Engineer - Central Technology

Lead Marketing Data & Analytics Engineer

Senior Data Engineer - Data Governance & DataOps

DataOS Data Engineer

Forecasting Data Engineer

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Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : data engineer (burnaby, bc)

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