Jobs in Toronto, ON and nearby

Jobs within 25 km of Toronto, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

49,604 listings · 7,027 employers Counted Oct 5, 2026. How we count

About these jobs

Employers hiring include Scotiabank (556 listings), Loblaw Companies Limited (529 listings), AtkinsRéalis (455 listings).

Common roles: Software engineer, Retail sales associate, Project manager.

7,474 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / year	85,000.00	4,648
CAD / hour	23.50	2,026
USD / year	110,000.00	384
USD / hour	20.00	118
GBP / hour	35.00	14
CAD / month	4,000.00	13
CAD / week	868.50	12

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 30% hybrid, 70% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Toronto, ON and nearby

Within 25 km

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S M Software Solutions Inc

Python Developer - Onsite

Mississauga, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 2, 2026
Posting language: English
Posted: Oct 3, 2026

Original job description

Client: Citi - Python Developer

We are seeking an experienced Python Developer with 8+ years of experience to join Citi’s technology team in Mississauga, ON, Canada. The role focuses on advanced Python development, large-scale data processing, data engineering, ETL development, PySpark, Spark, Pandas, NumPy, SQL/Oracle, and optimization techniques for processing high volumes of data.

Role Snapshot

Job Title: Python Developer
Client: Citi
Office Location: Mississauga, ON, Canada
Position Type: Full-time
Work Arrangement: Onsite
Experience: 8+ years
Application Deadline: 06 Oct 2026

Key Responsibilities

Develop and maintain applications using Python.
Perform large-scale data processing using PySpark and Spark.
Design and develop data engineering solutions.
Develop ETL processes using Oracle, MongoDB, and Hive.
Optimize data processing solutions for large volumes of data.
Work with Pandas for advanced data processing and analysis.
Utilize NumPy for data processing and computational requirements.
Develop and optimize SQL/Oracle queries.
Apply advanced coding practices to build efficient and scalable solutions.
Support Big Data processing requirements and data engineering initiatives.

Required Qualifications

8+ years of professional experience.
Strong proficiency in Python, including advanced Python development.
Advanced PySpark experience.
Advanced Spark experience.
Strong data processing and data engineering experience.
Experience developing ETL solutions using Oracle, MongoDB, and Hive.
Advanced experience with optimization techniques for large-volume data processing.
Advanced Pandas experience.
Intermediate NumPy experience.
Advanced SQL/Oracle experience.
Strong coding and Big Data processing experience.

How To Apply

If you are interested in this opportunity, please submit the following documents to hrsmss@smsoftconsulting.com by 06 Oct 2026:

Updated Resume in Word format (Mandatory)
References (Mandatory)

Note: Applications without the mandatory documents cannot be processed.

If this role is not suitable for you, please feel free to forward this opportunity to anyone who may be interested.

Thank you for considering this exciting opportunity with us.

Email is the best way to reach us.

You have received this message either as a result of contacting our company to express interest in employment or as a result of posting your resume in a location that can be accessed by recruiters or HR specialists, which suggests an interest in being contacted about employment opportunities.

Apply About employer

More about this job

Responsibilities

Develop and maintain Python applications and scalable data engineering solutions, including ETL processes using Oracle, MongoDB, and Hive. Process and analyze large volumes of data with PySpark, Spark, Pandas, and NumPy, while optimizing SQL/Oracle queries and data processing performance.

Requirements

Requires 8+ years of professional experience with advanced Python, PySpark, Spark, Pandas, and SQL/Oracle skills, plus strong data processing and data engineering experience. Candidates should have experience building ETL solutions with Oracle, MongoDB, and Hive, optimizing large-volume processing, and using NumPy at an intermediate level.

Skills

Python
PySpark
Spark
Data Processing
Data Engineering
ETL Development
Oracle
MongoDB
Hive
Pandas
NumPy
SQL
Query Optimization
Big Data Processing

Visa sponsorship

Not detected in the job text

Keywords

Python
PySpark
Spark
Pandas
NumPy
SQL
Oracle
MongoDB
Hive
ETL
Data Engineering
Data Processing
Big Data
Query Optimization
Large-Scale Data Processing
Scalable Applications
Advanced Coding Practices
IT Services
IT Consulting

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