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.

51,168 listings · 7,110 employers Counted Sep 29, 2026. How we count

About these jobs

Employers hiring include Scotiabank (650 listings), Loblaw Companies Limited (530 listings), RBC (481 listings).

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

7,742 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	4,788
CAD / hour	23.00	2,122
USD / year	110,000.00	397
USD / hour	20.00	131
CAD / week	1,125.00	14
GBP / hour	35.00	14
CAD / month	4,108.00	11

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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Added 3 hours ago
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TechDoQuest

Database Developer

Toronto, ON, Canada

Job type: Contract
Apply by: Oct 29, 2026
Experience: 8+ years of experience in database development, with a strong focus on Oracle, Cassandra, and Spark.
Posting language: English
Posted: Sep 29, 2026

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Original job description

ey Responsibilities:

Design and develop database schemas, tables, stored procedures, functions, and other database objects for Oracle, Cassandra, and Spark environments.
Develop logical and physical data models that meet business requirements and ensure data integrity, consistency, and performance.
Design, develop, and implement ETL (Extract, Transform, Load) processes to move data between different database platforms and data sources, using tools like Apache Spark, Apache NiFi, or Oracle Data Integrator.
Optimize database performance by identifying and resolving performance bottlenecks, tuning queries, and implementing indexing strategies.
Write complex SQL queries and NoSQL queries (CQL) to retrieve, manipulate, and analyze data.
Develop Spark applications using Python to process large datasets and perform data analytics.
Design and implement data warehousing solutions using Oracle, Cassandra, and Spark, following best practices for data modeling, ETL, and reporting.
Implement data security measures to protect sensitive data, including encryption, access control, and auditing.
Collaborate with data architects, data scientists, application developers, and other stakeholders to understand business requirements and develop appropriate data solutions.
Create and maintain technical documentation for database designs, ETL processes, and other data-related solutions.
Stay up to date with the latest trends and technologies in database development, data warehousing, and big data processing.

Qualifications:

Bachelor's or master’s degree in computer science, Engineering, or a related field.
8+ years of experience in database development, with a strong focus on Oracle, Cassandra, and Spark.
Expert-level knowledge of Oracle database architecture and development, including SQL, PL/SQL, and performance tuning.
Strong understanding of Cassandra NoSQL database, including data modeling, CQL, and cluster administration.
Proficiency in Apache Spark, including Spark SQL, Spark Streaming, and Spark MLlib.
Experience with ETL tools and techniques.
Solid understanding of data warehousing principles and best practices.
Experience with data modeling tools and techniques.
Strong analytical and problem-solving skills.
Excellent communication and interpersonal skills.
Ability to work independently and as part of a team.
Oracle Certified Professional (OCP) or equivalent certification is a plus.
Experience with cloud-based database services (e.g., AWS RDS, Azure SQL Database, Google Cloud Spanner) is a plus.

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More about this job

Responsibilities

Design, develop, and optimize database schemas, data models, ETL processes, and data warehousing solutions across Oracle, Cassandra, and Spark environments. Build Spark applications and complex queries, protect sensitive data, document solutions, and collaborate with stakeholders to deliver data systems that meet business requirements.

Requirements

Requires a bachelor's or master's degree in computer science, engineering, or a related field, plus 8 or more years of database development experience focused on Oracle, Cassandra, and Spark. Candidates should have expert Oracle and PL/SQL skills, Cassandra and CQL knowledge, Spark proficiency, ETL and data warehousing experience, and strong analytical and communication skills; OCP certification and cloud database experience are advantages.

Skills

Oracle
Cassandra
Apache Spark
SQL
PL/SQL
CQL
Python
ETL
Data Modeling
Database Performance Tuning
Data Warehousing
Apache NiFi
Oracle Data Integrator
Spark Streaming
Spark MLlib
Data Security

Visa sponsorship

Not detected in the job text

Keywords

Oracle
Cassandra
Apache Spark
Spark SQL
Spark Streaming
Spark MLlib
SQL
PL/SQL
CQL
Python
Apache NiFi
Oracle Data Integrator
ETL
Database Development
Database Architecture
Database Schema Design
Data Modeling
Data Warehousing
Performance Tuning
Query Optimization
Indexing
Data Analytics
Data Integrity
Data Security
Encryption
Access Control
Auditing
Oracle Certified Professional
AWS RDS
Azure SQL Database

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