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Développeur(se) solutions analytiques intermédiaire
Onepoint
Montreal, QC · Quebec, QC
- Full-time
Développer et maintenir des jeux de données structurés, des mesures DAX, des scripts d’intégration et des transformations de données (Power Query, Python, T-SQL, etc.);
Added 4 mins ago
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Développeur(se) solutions analytiques intermédiaire
Wepoint
Montreal, QC · Quebec, QC
- Full-time
Développer et maintenir des jeux de données structurés, des mesures DAX, des scripts d’intégration et des transformations de données (Power Query, Python, T-SQL, etc.);
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Software Developer Co-op (Winter 2027)
Magnet Forensics
Waterloo, Ontario
You’re strong at object-oriented programming (Languages: Java/JavaScript, C#, C++, Python)
Added 18 mins ago
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Industrial Software Validation
Husky Technologies
Bolton, ON
- Full-time
Proficiency in C#, Java, Python, and experience with .NET components
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Full Stack Developer
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- Full-time
Four Eyes Financial is a Canadian Wealth/RegTech software company looking to welcome an ambitious Full Stack Developer to the team. The successful candidate will contribute to the…
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Full Stack Developer
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Four Eyes Financial is a Canadian Wealth/RegTech software company looking to welcome an ambitious Full Stack Developer to the team. The successful candidate will contribute to the…
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Actuarial Analyst I
TD
Toronto, ON · Montreal, QC
- Full-time
Proficiency and interest for programming, notably SAS, VBA, R, Python
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Toronto, ON · Montreal, QC
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Proficiency in quantitative programming tools and libraries such as Python, NumPy, and SciPy
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Software Development Engineer in Test
CIBC
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- Full-time
…with expertise in at least one programming language (Java, C#, Python etc). It’s an asset if you have experience with API testing using tools, and if you are familiar with CICD tools like…
Added 19 mins ago
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Machine Learning Operations Developer, AI/ML Platfor
Autodesk
Toronto, ON · Montreal, QC · ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Machine Learning Operations Developer, Inference, AI/ML Platform
Added 19 mins ago
Senior Backend Engineer II - Patient Experience
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Our in-house Python communications service converts event bus domain events into patient messaging via Iterable, AWS SES, SMS, and push. Key challenges involve ensuring reliable,…
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Solution Architect
CARFAX
London, ON
- $114,000 to $164,000 CAD / year
- Full-time
Experience with Back-End languages (such as Java, Kotlin, C#, Go and Python).
Added 19 mins ago
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Associate Software Engineer
CARFAX
London, ON
- $64,000 to $96,000 CAD / year
- Full-time
Experience with Back-End languages (such as Java, Kotlin, C#, Go and Python).
Added 48 mins ago
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Site Reliability Engineer
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Canada
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Write software in Python, Go, or similar languages to automate toil away instead of working around it
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Machine Learning Operations Developer, AI/ML Platfor
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Toronto, ON
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Machine Learning Operations Developer, Inference, AI/ML Platform
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Toronto, ON
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Experience with data analysis, visualization and interpretation using Python or Matlab
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Montreal, QC
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Test Automation Developer - Intermediate
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Cambridge, ON · Greater Kitchener-Cambridge-Waterloo Metropolitan Area
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Added 49 mins ago
Test Development Team Lead
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Calgary, AB
Added 49 mins ago
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Technical Implementation Manager
SuiteSpot
Remote, Canada
- Full-time
- Remote
Proficiency in APIs, MongoDB/NoSQL databases, scripting languages (Python, JavaScript), web technologies (HTML, CSS), etc.
Added 49 mins ago
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Network Engineer III
Opti9 Technologies
Remote, Canada
- $115,000 to $145,000 CAD / year
- Full-time
- Remote
Mature our automation strategy using Python, Nautobot, Ansible, and other automation tie-ins
Added 1 hour ago
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SQL Developer
SMARTFOX
Canada
- Full-time
SQL Developer I - 0-2 years : Queries, reports, and well-scoped database changes, learning our data model with a dedicated mentor and code review
Added 1 hour ago
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Machine Learning Operations Developer, AI/ML Platfor
Autodesk
Montreal, QC
- Full-time
Machine Learning Operations Developer, Inference, AI/ML Platform
Added 1 hour ago
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Machine Learning Operations Developer, AI/ML Platfor
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Toronto, ON
- Full-time
Machine Learning Operations Developer, Inference, AI/ML Platform

Acceldata

Staff Software Engineer - Open Source Data Platform (ODP)

Kitchener, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 7, 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: Sep 14, 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.

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More about this job

Responsibilities

Own the architecture and technical direction of major data platform components, building scalable distributed storage, processing, and query systems across bare-metal, virtualized, Kubernetes, and multi-cloud environments. Lead open-source contributions, performance and production issue resolution, technical standards, roadmaps, and mentorship of senior engineers.

Requirements

Requires 9+ years of software development experience, including at least 5 years focused on distributed systems or big data platforms, expert Java or Scala skills, and strong Python skills. Candidates should have deep distributed computing and Linux expertise, hands-on experience with big data technologies, Kubernetes, Docker, and cloud platforms, plus demonstrated technical leadership and communication skills.

Skills

Distributed Systems
Big Data Platforms
Java
Scala
Python
Apache Hadoop
Apache Spark
Apache Hive
Trino
Apache Kafka
Apache Flink
Kubernetes
Docker
Linux Performance Tuning
Cloud Platforms
Open-Source Contributions

Visa sponsorship

Not detected in the job text

Keywords

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

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