Senior Systems Developer/Designer (Data Engineering) Job Details

Date: Jul 9, 2026

Location:

Pickering, ON, CA

Type of Position: Permanent ( Standard Req Only)

Type of Position:

Number of Positions: 1

Salary Min: $95,160.00

Salary Max: $115,796.00

Description:

Do you want to be part of a team helping to strengthen every community across Ontario? Are you interested in seeing the importance of your work firsthand? Do you have a passion for big data and cloud computing – and know the benefit of using data to improve business practices?

Become a Senior Systems Developer/Designer (Data Engineering) with MPAC

The Municipal Property Assessment Corporation (MPAC) is made up of a team of experts who understand local communities and assess every property in Ontario. What we do provides the very foundation that municipalities use to base the property taxes needed to pay for the services we use every day.

Equity, Diversity, Inclusion and Anti-Racism

MPAC is committed to Equity, Diversity, Inclusion and Anti-Racism. We are taking important steps towards ensuring that all voices are respected, valued and being heard. MPAC is dedicated to fostering an environment where employees can bring their full, unique and authentic selves and are inspired to do their best work.

Our Information Technology team works closely with each department across the business to design, build and deliver innovative solutions that help make MPAC an international leader in the property assessment industry. The way we think about technology is different, and our teams are proud to share their knowledge and contribute to meaningful, technology-enabled success stories that enhance operational intelligence and customer service delivery. We tackle complex problems collaboratively in an agile environment, and are committed to ensuring MPAC technology is consistently available, scalable, performance-based and secure. We’re a group of forward-thinking and talented professionals who stay ahead of the game by using open source technology, cutting-edge cloud computing, advanced analytics and predictive and machine learning models.

Job Description

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.

We have:

A team of highly skilled, dedicated and collaborative staff to work with
Leadership that supports you
An enterprise that embraces change
A work environment that has flexible work locations (including hybrid), hours of work and overall employee wellness support

You have:

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, designing and developing solutions using one or more of the following technologies:
- Python, SQL, Groovy, PostgreSQL, Amazon Web Services (AWS) including 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

What you will do:

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.

Additional Information:

Requisition ID: 3023
Existing Vacancy: No
Job Type: Union
Closing Date: July 22, 2026

Ready to apply?

Please note, only applications submitted through the Applicant Tracking System will be accepted.

Successful candidates will be required to undergo a background verification with Mintz Global Screening. By applying to this job posting, you are providing your consent to MPAC to share your name, email address and phone number with Mintz, to conduct the criminal and driver abstract check and for Mintz to disclose the results to MPAC, should you be the successful incumbent.

MPAC is committed to fostering an inclusive, accessible environment where all employees and members of the public feel valued, respected and supported. We are dedicated to building a workforce that reflect the diversity of the public and communities we serve.

Persons with disability who need accommodation in the application process or those needing job postings in an alternative format may email their request to careers@mpac.ca.

We thank all applicants for their interest, however, only those selected for further consideration will be contacted.

Please note that MPAC prohibits employees from holding a current/valid real estate license and successful applicants must at least suspend their real estate licenses during their period of employment at MPAC as outlined in our Employee Code of Conduct.

Job advertisements for positions that have been designated bilingual will be posted in both English and French on our website. Positions that are not designated bilingual are not translated and are only posted in English on the English version of our website.

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