Full-time jobs in Canada (379,012 jobs)

Explore full-time jobs across Canada. Choose a location and read the full job details.

379,012 listings · 47,251 employers Counted Nov 10, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (9,048 listings), Health Match BC (3,925 listings), Walmart (2,916 listings).

Common roles: Project manager, Sales representative, Cook.

66,690 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	24.00	39,029
CAD / year	80,000.00	25,331
CAD / month	5,317.00	693
USD / year	127,000.00	223
CAD / week	1,530.00	77
CAD / day	360.00	44
USD / hour	22.00	28
GBP / year	40,000.00	13
EUR / year	68,000.00	11
USD / month	4,000.00	11

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 1% remote, 16% hybrid, 82% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Full-time jobs in Canada

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Added 12 hours ago
Cost Control Manager
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Senior Software Developer
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Victoria, BC
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- Full-time
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Staff Software Engineer - Open Source Data Platform (ODP)
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Kitchener, ON
- Full-time
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Principal Engineer - Open Source Data Platform (ODP)
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Kitchener, ON
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AB · Edmonton, AB
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Halifax, NS
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Acceldata

Staff Software Engineer - Open Source Data Platform (ODP)

Kitchener, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 8, 2026
Experience: 9+ years of hands-on software development experience with at least 5 years focused on distributed systems or big data platforms.
Posting language: English
Posted: Oct 15, 2026

Original job description

About The Role
We are seeking a Staff Engineer with at least 9 years of experience in distributed systems or data platform development. In this role, you will be a technical leader responsible for architecting and driving the technical direction of critical components within the Acceldata Open Data Platform (ODP). You will work on solving the most challenging distributed systems problems, contribute to open-source communities, and mentor senior engineers while shaping the future of large-scale data infrastructure.

You'll lead high-impact initiatives that directly influence how petabyte-scale data is managed, observed, and optimized across hybrid and cloud ecosystems. You'll collaborate with industry experts, Apache committers, and seasoned engineers who share your passion for distributed systems and open-source innovation.

WHY JOIN US
At Acceldata, you won't just be writing code; you'll be defining the architecture and technical vision for modern data platforms used by some of the world's largest enterprises.

Your technical decisions will shape mission-critical systems, and your contributions will be visible across the global data ecosystem. If you're ready to take ownership of complex technical challenges and drive innovation at scale, Acceldata is where you belong.

Responsibilities

Own the end-to-end architecture of major platform components, driving design decisions that impact scalability, reliability, and performance.
Architect and implement next-generation distributed data storage, processing, and query optimization systems.
Partner with product, engineering leadership, and stakeholders to define technical roadmaps and translate business requirements into scalable solutions.
Lead contributions to Apache projects and open-source communities, establishing Acceldata's presence and technical reputation.
Identify and resolve complex performance bottlenecks across distributed systems, optimizing for cost, latency, and throughput.
Mentor and guide Senior Software Engineers, fostering technical excellence and a culture of continuous learning.
Establish and enforce coding standards, perform thorough code reviews, and ensure architectural consistency across the platform.
Evaluate and recommend emerging technologies, tools, and frameworks that align with platform goals.
Lead root cause analysis for critical production issues and drive systemic improvements to prevent recurrence.
Work across diverse environments: Bare Metals, VM, Kubernetes, and multi-cloud architectures.

Requirements

9+ years of hands-on software development experience with at least 5 years focused on distributed systems or big data platforms.
Expert-level proficiency in Java or Scala, with strong Python skills. Experience with systems languages is a plus.
Deep understanding of distributed computing principles, including consensus algorithms, data partitioning, replication, fault tolerance, and consistency models.
Extensive hands-on experience with multiple components of the big data stack (Hadoop, Spark, Hive, Trino, Kafka, Flink, NiFi or similar).
Expert-level Linux proficiency, including kernel tuning, performance analysis, and debugging at the system level.
Strong experience with Kubernetes, Docker, and cloud platforms (AWS, GCP, or Azure).
Deep expertise with Maven, Gradle, or SBT; experienced in CI/CD pipelines, GitHub, and artifact management (Nexus).
Proven ability to diagnose and resolve complex issues, including memory leaks, deadlocks, GC tuning, and distributed system failures.
Strong understanding of architectural patterns for scalable, fault-tolerant distributed systems.
Excellent written and verbal communication skills; ability to articulate complex technical concepts to diverse audiences, including senior leadership.
Demonstrated ability to work effectively with cross-functional teams, external contributors, and the open-source community.

Preferred Skills

History of significant contributions or committer status in Apache projects (e.g., Spark, Kafka, Hive, Iceberg, Flink, etc.).
Experience with modern table formats (Apache Iceberg, Delta Lake, Hudi) and data lake architectures.
Experience developing or optimizing query engines, query planners, or execution frameworks.
Familiarity with data governance, security, lineage, and compliance frameworks.
Experience leading large-scale data platform migrations or Hadoop distribution upgrades.
Published technical blogs, papers, or conference presentations on distributed systems topics.
Experience leading or maintaining open-source projects.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply on LinkedIn About employer

More about this job

Responsibilities

Own the architecture and technical direction of major data platform components, building scalable distributed storage, processing, and query systems while improving performance and reliability. Lead open-source contributions, technical roadmaps, production issue resolution, engineering standards, and mentorship of senior engineers.

Requirements

Requires at least 9 years of software development experience, including at least 5 years focused on distributed systems or big data platforms, with expert Java or Scala skills and strong Python proficiency. Candidates should bring deep distributed computing and Linux expertise, experience with big data technologies, Kubernetes, Docker, and cloud platforms, and the ability to lead technical work and communicate effectively.

Skills

Distributed Systems
Big Data Platforms
Java
Scala
Python
Linux
Kubernetes
Docker
Cloud Platforms
Apache Hadoop
Apache Spark
Apache Kafka
Apache Flink
Query Optimization
Open-Source Contributions
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

Distributed Systems
Big Data Platforms
Java
Scala
Python
Systems Languages
Linux
Kubernetes
Docker
AWS
Google Cloud Platform
Microsoft Azure
Apache Hadoop
Apache Spark
Apache Hive
Trino
Apache Kafka
Apache Flink
Apache NiFi
Apache Iceberg
Delta Lake
Apache Hudi
Maven
Gradle
SBT
CI/CD
GitHub
Nexus
Query Optimization
Data Lake Architecture

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Work requirements

Full-time jobs in Canada