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Added 2 mins ago
CA
Assembly Technician - Weekday Nights
Collins Aerospace
Oakville, ON
- Full-time
Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our…
Added 2 mins ago
CA
Calibration Technician - Weekday Day Shift
Collins Aerospace
Oakville, ON
- Full-time
Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our…
Added 2 mins ago
PP
Shipping, Receiving & Warehouse Operations Associate
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Oakville, ON
- Contract
Reporting To: Supply Chain Lead (70%) and Production Team Lead (30%)
Added 2 mins ago
CA
Assembly Technician - Weekend Day Shift
Collins Aerospace
Oakville, ON
- Full-time
Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our…
Added 2 mins ago
CA
Assembly Technician – Afternoon Shift
Collins Aerospace
Oakville, ON
- Full-time
Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our…
Added 2 mins ago
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- Contract
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- Full-time
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Added 2 mins ago
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- Full-time
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Added 2 mins ago
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Added 2 mins ago
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- Full-time
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Added 3 mins ago
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Added 19 mins ago
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Added 33 mins ago
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Added 33 mins ago
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Added 33 mins ago
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Added 33 mins ago
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Added 33 mins ago
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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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