Toronto, On Lead python full stack data engineer Jobs – 131 Openings This Week

Senior Data Analytical Specialist/Scientist - Toronto
Randstad —Toronto, ON
- $440.55–$485.24 a day
- Temporary
- Hybrid work
- Azure
- SQL
- Scripting
Quick apply
2d
Senior Data Engineer ( Snowflake/ AWS)
Talent To Hire Inc. —Toronto, ON
- $120,000–$130,000 a year
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
Quick apply
10d
Software Engineer III - Visual AI Technology
Wayfair —Toronto, ON
- $192,047–$231,781 a year
- Full-time
- Azure
- DevOps
- AWS
- Designated paid holidays
- Disability insurance
4h
Senior SRE/AIOps Engineer
Royal Bank of Canada —Toronto, ON
- Full-time
- Scripting
- APIs
- Linux
6d
Machine Learning Engineering Co-op
VCycene Inc. —Markham, ON
- $20–$25 an hour
- Full-time
- Computer Science
- Engineering
- C++
- Flexible schedule
Quick apply
2d
Sr. Software Engineer, Backend
Pinterest —Toronto, ON
- Hybrid work
- Computer science
- Computer Science
- Java

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Senior Data Analytical Specialist/Scientist - Toronto
Randstad —Toronto, ON
Prepare clear technical documentation, briefing materials, and presentations to explain complex quantitative methods, outputs, and limitations to non-technical…
$440.55–$485.24 a day
Quick apply
2d
Senior Data Engineer ( Snowflake/ AWS)
Talent To Hire Inc. —Toronto, ON
Own full lifecycle delivery: design, build, test, deploy. Strong understanding of modern data architecture & pipeline design. 6+ years in Data Engineering.
$120,000–$130,000 a year
Quick apply
10d

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Director of IT
Cottage Dream Vacations —Whitby, ON
Bachelor’s degree in IT, Computer Science, Engineering, or related field. The Director of IT is responsible for the strategic leadership, architecture,…
$100,000–$110,000 a year
2d
Machine Learning Engineering Co-op
VCycene Inc. —Markham, ON
Currently enrolled in a co-op or internship program in Computer Science, Engineering, Mechatronics, Environmental Engineering, or a related field.
$20–$25 an hour
Quick apply
2d

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Senior Data Analytical Specialist/Scientist - Toronto

Randstad -
Toronto, ON

Quick apply

Job details

Temporary
$440.55–$485.24 a day
2 days ago

Qualifications

Power BI
Azure
R
SQL
Scripting
Python

Full job description

We are seeking an advanced Senior Data Analytical Specialist/Scientist to analyze, build, and validate complex, large-scale statistical models within enterprise production environments. Working with minimal direction, you will bridge the gap between advanced research methodologies and scalable data engineering. You will collaborate closely with cross-functional technical teams, data stewards, and data engineers to design reproducible data workflows, execute model validation, and transition specialized quantitative frameworks into sustainable production systems.

Location: Toronto, ON (Hybrid – 2 days per week in office)

Duration: 6-month contract

Public Sector Experience: Required.

Advantages
Advanced Modeling Focus: Translate complex statistical models and research logic into scalable production workflows.

Modern Analytics Stack: Leverage R, Python, version-controlled workflows, and cloud analytics platforms.

Hybrid Work Model: Enjoy a flexible balance with 2 days per week in the Toronto office.

High-Impact Collaboration: Partner directly with data engineers, architects, and technical leads across the full delivery lifecycle.

Responsibilities
Analyze complex statistical methodologies and model logic to translate research and analytical specifications into scalable, production-ready builds.

Build, validate, and execute complex statistical models within enterprise analytics environments and cloud platforms.

Design and implement end-to-end data ingestion, transformation, quality checking, and reproducible data processing workflows using R or Python.

Collaborate with data engineers, architects, data stewards, and business leads to confirm requirements, data acquisition pathways, and delivery decisions.

Validate model assumptions, perform data quality assessments, and troubleshoot statistical or code-level issues.

Document analytical methods, code repositories, and operational workflows to conduct formal knowledge transfer and ensure long-term platform sustainability.

Prepare clear technical documentation, briefing materials, and presentations to explain complex quantitative methods, outputs, and limitations to non-technical stakeholders.

Qualifications
Statistical Modeling & Validation Seniority: Senior-level experience developing and validating statistical methods and models, including reproducible analytical workflows and underlying data requirements (Strictly Required).

Data Processing & Pipeline Workflow Design: Hands-on experience designing data-ingestion, transformation, quality-checking, and reproducible data-processing workflows (Strictly Required).

Technical Scripting & Languages: High proficiency in R and/or Python, query languages (SQL), and version-controlled analytical repositories (Strictly Required).

Stakeholder & Consulting Excellence: Strong consulting and relationship-management skills to collaborate with clients, technical teams, and data stewards (Strictly Required).

Quantitative Communication: Proven ability to communicate complex quantitative methods, assumptions, outputs, and limitations clearly to both technical and non-technical audiences (Strictly Required).

Public Sector Expertise: Prior experience working within public sector IT or data analytics environments (Strictly Required).

Desirable Assets:
Experience with Power BI visualization tools and cloud analytics platforms (e.g., Azure, Databricks).

Background in population health data, chronic disease modeling, or adapting academic/research models into production systems.

Familiarity with digital accessibility standards (such as AODA guidelines).

Summary
If you're interested in the "Senior Data Analytical Specialist/Scientist" role based in Toronto, we encourage you to apply online at www.randstad.ca.
Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to [email protected] to ensure their ability to fully participate in the interview process.

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lead python full stack data engineer jobs in toronto, on

Senior Data Analytical Specialist/Scientist - Toronto

Senior Data Engineer ( Snowflake/ AWS)

Software Engineer III - Visual AI Technology

Senior SRE/AIOps Engineer

Machine Learning Engineering Co-op

Sr. Software Engineer, Backend

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