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Added 1 month ago
Lead Software Engineer
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GBME is searching for a Lead Software Engineer who is eager to boost capabilities of capital markets products and analytics platforms.
Added 2 months ago
Control & Automation Engineer-in-training- St.John's
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Added 4 months ago
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Added 5 months ago
Electrical Engineer II
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- $130,000 to $160,000 CAD / year
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As a Senior Security Engineer, you will provide senior-level expertise and advanced security analysis capabilities within our organization's security operations. Operating at a senior…
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QA Automation Engineer (12 Month Contract)
TC Transcontinental
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- Contract
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Industry Advisor - Energy
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Added 6 months ago
GT
Co-Op Embedded Software Engineer
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Co-Op Electrical Engineer
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Co-Op Mechatronics Engineer
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- Full-time
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Process Systems Engineering Co-op, Automation & Data Integration
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- $22 to $26 CAD / hour
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Reporting to the Senior Systems Engineer, Advanced Automation and Data Integration, the selected candidate will collaborate with the Process Systems Engineering team applying a range of…
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(CAN) Quality Engineer III
Walmart
Mississauga, Ontario
- Full-time
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Added 5 months ago
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AWS Devops Engineer
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HW Test Engineer
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We are currently seeking a HW Test Engineer to define Test Strategy, Test SW and HW required for cost-effective, automated test solutions for manufacturing of network equipment
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GP
Senior Embedded Engineer
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Added 6 months ago
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Added 6 months ago
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Added 6 months ago
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As a Software Engineer you will be responsible for building Zip’s core products and architecture. You will ship features that will be immediately used by our users, and will work with a…
Added 6 months ago
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Lead Software Developer (AOSP)
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Added 6 months ago
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Added 6 months ago
Senior Data Engineer
Redlen Technologies Inc.
Central Saanich, British Columbia · Saanichton, BC
The Senior Data Engineer will design, build, and maintain scalable data pipelines and automation frameworks that enable the Data Science team to process and analyze detector data…

Redlen Technologies Inc.

Senior Data Engineer

Central Saanich, BC, Canada
Saanichton, BC, Canada

Salary Range: $115,000 - $128,000 CAD

Apply About employer

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Job details

Pay: Salary Range: $115,000 - $128,000 CAD
Experience: 6+ years of experience in data engineering or a related role, with a focus on automation and workflow orchestration.]
Posting language: English
Posted: Apr 22, 2026

Original job description

Why Redlen Technologies?

Redlen Technologies is a pioneering company that has revolutionized the semiconductor crystal growth and fabrication process.

At Redlen Technologies, innovation is at the heart of everything we do. Our founder's visionary work with the Canadian Space Agency laid the foundation for our groundbreaking Cadmium Zinc Telluride (CZT) sensors, revolutionizing medical imaging, security imaging, and non-destructive testing. We are driving a quantum leap forward in medical CT scanners, elevating diagnostic accuracy while reducing radiation dose– a technological feat that has earned us global recognition. With a commitment to excellence, we have earned the trust of Fortune 500 industry customers, leading to our acquisition by Canon Inc. for $430M– a testament to our industry leadership.

With over 200 dedicated professionals, we take pride in fostering a work environment where Science, Technology, Engineering, and Math (STEM) professionals thrive. As an equal opportunity employer we demonstrate that diversity drives innovation, and we are passionate about building a future where every employee contributes to our mission-driven success. Redlen's teams, mirroring the multifaceted diversity of Canadian society, exemplify our commitment to leveraging a wide range of ideas and backgrounds as a driving force for innovation, business excellence, and pioneering advancements in STEM.

Redlen’s Data Science team is responsible for unlocking insights from the gigabit-per-second image data generated by our photon-counting CT (PCCT) detectors. This team plays a pivotal role in understanding, characterizing, and reporting on detector performance and failure modes across reliability experiments, production testing, and in-gantry operations. By leveraging advanced data engineering, machine learning, and software development principles, the team transforms raw detector data into actionable intelligence that drives design optimization, reliability improvements, and image quality enhancements. Through close collaboration with cross-functional partners, the Data Science team ensures that Redlen’s detectors deliver world-class imaging outcomes and meet the rigorous demands of clinical and industrial applications.

About the Role
The Senior Data Engineer will design, build, and maintain scalable data pipelines and automation frameworks that enable the Data Science team to process and analyze detector data efficiently. This role is critical to modernizing workflows and supporting Redlen’s ambitious production scale-up, which targets a 20x increase in output. Working within a virtual Linux environment and leveraging containerized orchestration tools such as Apache Airflow, the Senior Data Engineer will automate scientific processes, streamline data ingestion from network drives, and ensure robust, reproducible workflows. By enabling high-throughput data processing and integration, this role empowers the team to deliver timely insights that improve detector reliability and optimize image quality.

Key Responsibilities

Data Pipeline Development & Automation

Design and implement ETL pipelines to process PCCT detector data and metadata from network drives.
Develop reusable Python-based automation frameworks for data ingestion, transformation, and integration.
Automate JMP workflows using JSL (JMP Scripting Language) and integrate them with Python.
Automate MATLAB scripts and incorporate them into centralized pipelines.
Refine and scale existing automation tools to handle a 20x increase in production volume.

Workflow Orchestration & Infrastructure

Build and maintain orchestration workflows using Apache Airflow on a virtual Linux server in a containerized environment.
Maintain version control and CI/CD practices for all developed tools and pipelines.

Data Quality, Storage & Performance

Optimize data storage and processing using efficient file formats such as Parquet.
Ensure data quality and integrity through validation, cleaning, and enrichment steps in ETL pipelines.
Implement performance tuning for large-scale sensor data processing in a non-cloud environment.
Manage metadata effectively, including designing structures for metadata storage and retrieval.

Governance & Compliance

Establish and enforce data governance practices, ensuring compliance with internal standards for data security, access control, and auditability.

Collaboration & Knowledge Sharing

Collaborate with detector scientists, product engineers, test technologists and more to understand manual workflows and convert them into automated, scheduled processes.
Document workflows and provide training/support for team members using the new tools.

Other

Other duties as assigned and relevant to the role.

Qualifications
Required Skills

Strong proficiency in Python for data engineering and automation.
Expertise in Apache Airflow for workflow orchestration.
Containerization experience (Docker) as a prerequisite for Airflow deployment.
Fluency in JSL (JMP Scripting Language) and Python integration within JMP.
Experience with MATLAB scripting for scientific workflows.
Solid understanding of ETL design, data validation, and data quality frameworks.
Knowledge of efficient file formats (e.g., Parquet) for performance optimization.
Familiarity with Linux environments, version control (Git), and CI/CD pipelines.
Strong problem-solving skills.
Excellent oral and written communication skills in English.
Outstanding interpersonal skills.

Required Experience

6+ years of experience in data engineering or a related role, with a focus on automation and workflow orchestration.]
Demonstrated ability to work in a dynamic environment as a member of a cross-functional team.
Proven track record of working with limited supervision and managing responsibilities proactively.
Experience handling challenging development projects with competing priorities and emerging/ ambiguous requirements.
Demonstrated positive attitude and self-motivation.
Interest in mentoring junior team members.

Nice-to-Have

Experience with SharePoint API integration.
Exposure to scientific data workflows and reliability engineering.

Education

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.

Salary Range: $115,000 - $128,000 CAD

At Redlen, we prioritize clarity in our hiring process. The salary range posted above reflects the minimum and maximum for new hire salaries, taking into account factors such as job-related skills and expertise, relevant training and education, and business needs. It is common for ranges to span multiple levels in order to attract top talent across experience levels. It is uncommon to be hired at the top of the range; however, in exceptional cases where a candidate's skills and expertise significantly exceed the role's requirements, we may consider offering a higher salary. If you believe your skill set falls outside this range and you’re interested in exploring opportunities with Redlen, please reach out to our People & Culture Team (T.A. Specialists or Business Partners), specifying how your expertise aligns with our teams, so we can collaborate on potential opportunities. We believe in developing those that demonstrate quality performance and promise.

Total Rewards and Benefits

Competitive salary and performance-based bonuses.
Comprehensive health, dental, and vision insurance.
RRSP retirement plan with employer match component.
Professional development opportunities.
Generous paid time off and holidays.
Vibrant and inclusive workplace culture.

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More about this job

Responsibilities

The Senior Data Engineer will design, build, and maintain scalable data pipelines and automation frameworks to process high-throughput detector data. They will collaborate with cross-functional teams to modernize workflows and support production scale-up through robust orchestration and data quality practices.

Requirements

Candidates must have 6+ years of experience in data engineering with strong proficiency in Python, Apache Airflow, and containerization. A Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field is required.

Skills

Python
Apache Airflow
Docker
JSL
JMP
MATLAB
ETL
Data engineering
Workflow orchestration
Linux
Git
CI/CD
Data quality
Parquet
Automation
Data governance

Benefits

Competitive salary
Performance-based bonuses
Health insurance
Dental insurance
Vision insurance
RRSP retirement plan
Employer match
Professional development opportunities
Paid time off
Holidays

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Python
Apache Airflow
Docker
JSL
JMP
MATLAB
ETL
Parquet
Linux
Git
CI/CD
Workflow Orchestration
Data Governance
Semiconductor
PCCT
Photon-counting CT
Automation
Data Pipeline
Reliability Engineering
Metadata Management
Scientific Computing
Production Testing
Data Quality
Performance Tuning

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