Opens an external site
- Employment type
- Full-time
- Experience level
- Senior · 5+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Location requirements
- Country, Canada
Job summary
The Streaming Data Engineer will design, develop, and maintain scalable data pipelines to support Bronze, Silver, and Gold data layers. They will also collaborate with stakeholders to define requirements and ensure data quality and security compliance.
Job details
Who We Are PLATO is Canada’s largest Indigenous-owned software testing and technology services company. For nearly 30 years, our expert teams have helped our clients deliver reliable products that users enjoy interacting with. Our 100% Canada‑based team brings deep experience in QA, software testing, and IT services, along with a shared commitment to collaboration, mentorship, and continuous improvement. We’re a team that shows up for each other, whether that’s tackling complex client challenges or helping colleagues grow through coaching and knowledge‑sharing. As Canada’s largest Indigenous‑owned software testing company, we’re proud of our roots and our mission to build a stronger, more inclusive technology workforce. At the same time, we warmly welcome applicants of all backgrounds and experiences who are passionate about quality, teamwork, and making an impact. Security clearance- Secret Job Title: Streaming Data Engineer - Bronze, Silver, and Gold Duration: Nov 2026- Aug 2027 Department: Information Technology Job Summary The Streaming Data Engineer will play a crucial role in our Information Technology department, focusing on the ingestion, processing, and management of streaming data for our public sector client. This position requires an individual with a robust understanding of data engineering principles and experience in building scalable data pipelines. The ideal candidate will possess the ability to work with varying levels of data quality and complexity, categorized as Bronze, Silver, and Gold data layers, to ensure the organization can derive actionable insights from real-time data streams. Key Responsibilities Design, develop, and maintain scalable streaming data pipelines that support the Bronze, Silver, and Gold data layers. Implement data ingestion processes from various sources, ensuring data quality and integrity. Collaborate with data scientists, analysts, and other stakeholders to define data requirements and deliver data solutions that meet business needs. Monitor and optimize the performance of streaming data solutions to ensure efficiency and reliability. Ensure compliance with data governance and security standards, including the management of enhanced security clearance protocols. Participate in code reviews and provide mentorship to junior team members to promote best practices in data engineering. Document data engineering processes and workflows to support knowledge sharing within the team. Stay current with industry trends and emerging technologies in streaming data engineering. Work Environment This position is fully remote and is open to candidates located in Canada. We foster a collaborative work culture that values innovation and encourages professional growth. Qualifications A minimum of 5 years of experience in data engineering, with a focus on streaming data technologies. Proficiency in programming languages such as Python, Java, or Scala. Experience with data streaming platforms such as Apache Kafka, Apache Flink, or similar technologies. Strong understanding of data modeling and ETL processes. Familiarity with cloud services (AWS, Azure, GCP) and big data technologies (Hadoop, Spark) is an asset. Enhanced security clearance is required for this role. Work With Us At PLATO, we believe that great work happens when people feel supported, connected, and challenged in the right ways. You’ll be part of a collaborative environment where experienced professionals share knowledge, mentor others, and contribute to solving complex, real‑world client projects. We are committed to inclusive hiring practices and encourage applications from individuals of all backgrounds, including women, persons with disabilities, visible minorities, and Indigenous peoples. If you require accommodation at any stage of the recruitment process, we’re here to support you. PLATO respectfully acknowledges that we operate on treaty territories, unceded First Nations and Inuit territories, and within Métis homelands. We honour the long history of these lands and actively work toward reconciliation between Indigenous and non‑Indigenous peoples on Turtle Island.
What you’ll do
The Streaming Data Engineer will design, develop, and maintain scalable data pipelines to support Bronze, Silver, and Gold data layers. They will also collaborate with stakeholders to define requirements and ensure data quality and security compliance.
Requirements
Candidates must have a minimum of 5 years of experience in data engineering with a focus on streaming technologies. Proficiency in Python, Java, or Scala and an enhanced security clearance are required.
Listed skills
- Python · Preferred
- Java · Preferred
- Amazon Web Services · Preferred
- Microsoft Azure · Preferred
- Google Cloud · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Data Engineering
- Streaming Data
- Python
- Java
- Scala
- Apache Kafka
- Apache Flink
- Data Modeling
- ETL Processes
- Cloud Services
- AWS
- Azure
- GCP
- Hadoop
- Spark
- Data Governance
- Workflow Management
- Emerging Technologies
- Programming Languages
- Java (Programming Language)
- Amazon Web Services
- Software Testing
- Microsoft Azure
- Reconciliation
- Big Data
- Management
- Code Review
- Information Technology
- Continuous Improvement Process
- Extract Transform Load (ETL)
- Data Quality
- Document-Oriented Databases
- Apache Hadoop
- Scalability
- Innovation
- IT Service Management
- Python (Programming Language)
- Mentorship
- Coaching
- Safety Assurance
- Scala (Programming Language)
- Security Clearance
- Reliability
- Data Ingestion
- Data Layers
- Teamwork
- Real Time Data
- Data Pipelines
Job areas
- Technology
- Data & Analytics
- Software
- Government & Public Sector
- Engineering
- Data Engineer
- Software Developers
- Database Administrators
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