2

Part Time Data Engineer Jobs in Markham, ON (NOW HIRING)

Through dynamic programming--Shabbatons, clubs, trips, learning initiatives, and one-on-one ... Open to both part-time and full-time candidates * Hybrid role based in Thornhill, with travel to ...

Catastrophe Risk Specialist

Toronto, ON · Hybrid

CA$85K - CA$115K/yr

  • Retirement

  • PTO

In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus ... programming languages such as R, SQL, or similar for data manipulation and modeling. * Strong ...

Catastrophe Risk Specialist

Toronto, ON · Hybrid

CA$85K - CA$115K/yr

  • Retirement

  • PTO

In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus ... programming languages such as R, SQL, or similar for data manipulation and modeling. * Strong ...

Content Strategist Lead

Toronto, ON · On-site

CA$60 - CA$90/hr

Excited by the intersection of technology, creativity and data * Experienced in Agile methodologies ... Proven ability to translate technical or engineering-heavy source material into audience ...

Senior Recruiter - Supply Chain

Toronto, ON · On-site

  • Medical

  • Dental

  • Retirement

  • PTO

Fulfillment IQ is a supply chain engineering and transformation company that helps brands ... Diagnose a stalled search from the funnel data and change the approach, instead of just sending ...

Showing results 41-60

Part Time Data Engineer information

See Markham, ON salary details

$8

$36

$79

How much do part time data engineer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for part time data engineer in Markham, ON is $36.38, according to ZipRecruiter salary data. Most workers in this role earn between $14.12 and $56.93 per hour, depending on experience, location, and employer.

What is a part time data engineer?

A Part-Time Data Engineer is responsible for designing, building, and maintaining data pipelines and databases on a reduced-hour basis. They work with structured and unstructured data to ensure efficient storage, retrieval, and processing, often collaborating with data analysts and scientists. This role is ideal for professionals seeking flexible work arrangements while still contributing to data infrastructure and analytics. Part-time data engineers may work as freelancers, consultants, or employees with reduced-hour contracts. Their responsibilities can vary based on company needs but typically involve ETL processes, cloud data management, and performance optimization.

What types of projects and responsibilities can I expect as a part time data engineer?

As a Part Time Data Engineer, you might work on projects such as developing and maintaining data pipelines, optimizing database performance, and preparing data for analytics and reporting. Responsibilities often include extracting, transforming, and loading (ETL) data, collaborating with data analysts and scientists, and troubleshooting data-related issues. You may also help implement data quality checks or participate in cloud migration initiatives. The scope of your work will typically be focused and project-based, making sure your contributions have a tangible impact within a flexible schedule.

What are the key skills and qualifications needed to thrive as a part time data engineer?

To thrive as a Part Time Data Engineer, you need strong programming skills (usually in Python, SQL, or Scala), a solid understanding of data warehousing concepts, and experience with ETL pipelines, typically supported by a relevant degree or equivalent experience. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and relevant certifications such as Google Professional Data Engineer or AWS Certified Data Analytics, are highly valued. Effective time management, problem-solving abilities, and clear communication are standout soft skills for this flexible role. These skills are crucial because they enable part-time data engineers to efficiently deliver reliable data solutions while collaborating across teams in dynamic work environments.

Are part time data engineers still in demand?

Part-time data engineers are still in demand as organizations seek flexible staffing for data management, analytics, and infrastructure projects. Skills in SQL, cloud platforms, and data pipeline tools remain valuable, and remote or flexible roles are increasingly available in the industry.

Can I work remotely as a part time data engineer?

Part time data engineers can often work remotely, especially if the employer supports telecommuting and the role involves tasks like data analysis, pipeline development, or cloud-based tools. Remote work arrangements depend on company policies, project requirements, and the need for collaboration or access to on-site resources.

What are popular job titles related to Part Time Data Engineer jobs in Markham, ON?

For Part Time Data Engineer jobs in Markham, ON, the most frequently searched job titles are:

What cities near Markham, ON are hiring for Part Time Data Engineer jobs?

Cities near Markham, ON with the most Part Time Data Engineer job openings:

Infographic showing various Part Time Data Engineer job openings in Markham, ON as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $75,667 per year, or $36.4 per hour.

Senior Analyst, Credit Risk Strategy Oversight

BMO Capital Markets

Toronto, ON

CA$56K - CA$103K/yr

Full-time, Part-time

Medical, Life, Retirement

Posted 24 days ago


Job description

Application Deadline:

08/29/2026

Address:

33 Dundas Street West

Job Family Group:

Audit, Risk & Compliance

Join a purposedriven team at the centre of BMO's risk management ecosystem. As a Senior Analyst, Credit Risk Strategy Oversight, you will contribute analytical depth, structured review, and developing independent challenge across Canadian Retail lending business. Operating in the second line, you will apply sound judgment and strong analytical capabilities to support the identification, assessment, and communication of nonroutine credit risk issues enhancing decision quality, transparency, and alignment to risk appetite, regulatory expectations, and governance standards. Your focus will be on business/group priorities, with opportunities to contribute to enterprise initiatives as your experience grows.

Key Responsibilities

Independent Risk Oversight & Analytical Review

  • Support independent assessments of credit proposals, strategy updates, segmentation approaches, and MLenabled decisioning.
  • Conduct analyses on assumptions, data quality, performance monitoring, and portfolio impacts; identify issues and recommend escalation where appropriate.
  • Contribute to the preparation of clear, concise secondline commentary, summaries, and risk insights for committees and senior leadership.

Portfolio Risk Insight & Stress Testing Support

  • Execute components of regulatory capital and stresstesting analysis, including data preparation, scenario interpretation, and variable review.
  • Perform deepdive analytics on trends, concentrations, and emerging risks to support forwardlooking portfolio assessments.
  • Prepare analytical summaries and visualizations that translate complex findings into decisionready insights.

CrossFunctional Collaboration

  • Provide analytical support to partners in Credit, Product, Finance, Operations, and Data/Analytics, ensuring risk considerations are appropriately incorporated.
  • Assist in preparing materials that distill complex technical analysis into clear, simple narratives suitable for nontechnical audiences.
  • Participate in crossfunctional discussions to ensure alignment with governance, data quality, and control expectations.

Credit Governance & Policy Support

  • Support maintenance of credit governance documents, tracking requirements, and ensuring documentation accuracy and completeness.
  • Assist in monitoring adherence to credit policies, standards, and Regulatory Compliance Management (RCM) requirements.
  • Help coordinate supporting materials for oversight reviews, audits, examinations, and controlrelated activities.

Judgment, Independence & Continuous Improvement

  • Work independently on assigned analytical tasks and nonroutine issues within established guidelines and frameworks.
  • Identify opportunities to improve processes, documentation consistency, and reporting accuracy.
  • Take ownership of assigned workstreams, with broader responsibilities assigned as experience and business needs evolve.

Qualifications

  • Typically 4-6 years in lending, credit risk, analytics, portfolio management, or related functions within a financial institution.
  • Postsecondary degree in Finance, Economics, Statistics, Mathematics, Engineering, or a related field or an equivalent combination of education and experience.
  • Applied analytics experience with Python, SQL, SAS, R, or similar tools; demonstrated ability to synthesize complex analysis into clear, decisionready narratives and visuals.
  • Working understanding of banking, credit risk concepts, and portfolio analytics gained through education and handson experience.
  • Datadriven decision making
  • Basic understanding of compliance and regulatory expectations
  • Machinelearning awareness (bias, overfitting, explainability basics)

What We Offer

  • A highimpact secondline role with visibility across priority businesses and exposure to enterprise initiatives.
  • Opportunities to meaningfully strengthen credit oversight, decision quality, and portfolio resilience.
  • A culture that values integrity, inclusion, innovation, and high performance.
  • Access to senior leaders, crossfunctional partners, and complex challenges that support ongoing career growth.

Salary:

$56,000.00 - $103,500.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other's differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.