Overview
Senior Systems Developer/Designer (Data Engineering) at MPAC. Location: Pickering, ON, CA. Type: Permanent. Salary: $95,160.00 – $115,796.00. Requisition ID: 3023. Closing Date: July 22, 2026.
What makes you great for this role?
You enjoy solving complex data challenges and building scalable cloud-native data platforms that enable analytics, AI, automation and business decision-making. You are equally comfortable designing architecture, developing reliable data pipelines and collaborating with technical and business partners to deliver trusted data products. You thrive working across the full solution lifecycle—from understanding business needs and designing technical solutions to building, deploying and supporting modern data platforms that collect, transform, secure and make data accessible for analytics, operational insights and emerging AI capabilities.
Responsibilities
- Analyze, design and deliver scalable information systems and data solutions that support business needs, analytics, automation and AI-enabled capabilities.
- Lead the design and development of cloud-native applications, data platforms, APIs, integration services and reusable data products.
- Design, develop, optimize and support batch and near real-time data pipelines, ELT processes and modern data storage solutions.
- Build and maintain trusted data assets through data transformation, validation, governance, documentation and quality management practices.
- Develop prototypes and proof of concepts, ensuring solutions meet performance, scalability, reliability and security requirements.
- Establish testing, monitoring, observability and performance optimization practices to maintain reliable, high-performing production systems.
- Lead technical investigations, resolve complex production issues and support the deployment and ongoing operation of enterprise applications and data platforms.
- Provide senior technical leadership, solution recommendations, effort estimates and mentorship to junior team members.
Qualifications
- A minimum of 5 years of progressively responsible systems development and/or data engineering experience, with advanced knowledge of:
- Computer science and data engineering principles, including programming, data structures, algorithms, data modelling, data architecture and scalable data pipeline design.
- Modern software engineering and DataOps practices, including CI/CD, version control, automated testing, infrastructure as code, observability, monitoring and data quality.
- Designing cloud-native applications and modern data platforms using distributed processing, data lake/lakehouse architectures, APIs, event-driven design and messaging technologies.
- Core data engineering practices, including data ingestion, transformation, orchestration, storage, metadata management, data lineage and data governance.
- A minimum of 2 years of experience in a senior technical development role, with one or more of the following technologies: Python, SQL, Groovy, PostgreSQL, AWS (Lambda, Glue, S3, Redshift and related cloud-native services), Kubernetes, OpenSearch, Apache Iceberg or Apache Hudi, Apache Spark, Kafka or similar streaming technologies, REST APIs, JavaScript, React, TypeScript, HTML/CSS, and DevOps tools such as GitHub or Azure DevOps.
- Experience designing, developing and supporting scalable batch and near real-time data pipelines, and preparing trusted datasets for reporting, analytics, AI/ML and operational decision-making.
Additional Information
- Job Type: Union
- Existing Vacancy: No
- Requisition ID: 3023
- Closing Date: July 22, 2026
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