Toronto On Analytics engineer Jobs – 791 Openings This Week

Senior Software Engineer
Tactable —Toronto, ON
- $140,000–$190,000 a year
- Full-time
- Hybrid work
- Azure
- System design
- English
- Disability insurance
- Dental care
Quick apply
Specialist - Data Engineering
LTM —Mississauga, ON
- $87,896–$93,824 a year
- Writing skills
- DevOps
- SQL
- Disability insurance
- Dental care
Quick apply
Data Engineer
MSi Corp. —Toronto, ON
- From $50 an hour
- Contract
- Hybrid work
- Java
- Analysis skills
- Machine learning
Quick apply
Data Engineer
Spectrum Health Care —Toronto, ON
- $95,000–$105,000 a year
- Full-time
- Computer Science
- Engineering
- SQL
Quick apply
4d
Digital Transformation & AI Director
Scott Mission —Etobicoke, ON
- $110,000–$125,000 a year
- Full-time
- Hybrid work
- CRM software
- Master's degree
- Bachelor's
Quick apply
AI Prompt Engineer for Capital Markets
Spectra Group Inc —Toronto, ON
- $80–$100 an hour
- Contract
- Hybrid work
- Sales
- Continuous improvement
- APIs
Quick apply
2d
Scrum Master/Project Manager
MSi Corp —Toronto, ON
- From $50 an hour
- Full-time
- Hybrid work
- Computer Science
- PMP
- English
Quick apply
11d
Senior Data Engineer
Atlantic Packaging Products Ltd —Toronto, ON
- $93,300–$116,600 a year
- Hybrid work
- Computer Science
- Engineering
- SQL
- Wellness program
- Dental care
Quick apply
Software Engineer
SMC Strategic Solutions Inc —Mississauga, ON
- $57 an hour
- Full-time
- Hybrid work
- Oracle
- Microsoft Outlook
- Computer Science
- Dental care
- Paid time off
Quick apply
Senior Data Engineer
Agilus by Synergie —Toronto, ON
- $140,000–$160,000 a year
- Remote
- SQL
- Machine learning
- Python
- Dental care
- Paid time off
Quick apply
Senior AI Engineer
Tangerine Bank —Toronto, ON
- Computer science
- Azure
- Computer Science
Senior Data Engineer ( Snowflake/ dbt/ AWS)
Talent To Hire Inc. —Toronto, ON
- $120,000–$130,000 a year
- Full-time
- Hybrid work
- Azure
- Software troubleshooting
- SQL
Quick apply
Data Engineer
Canadian Cancer Society —Toronto, ON
- $83,000–$93,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Salesforce
Quick apply
12d
Observability Engineer
Accommodations Plus International —Markham, ON
- $90,000–$110,000 a year
- Weekends as needed
- Computer Science
- Engineering
- Maintenance
- Paid time off
- Employee assistance program
Quick apply
Senior Analytics Engineer (m/f/d)
AutoTrader.ca —Toronto, ON
- $130,000–$170,000 a year
- SQL
- Mentoring
- AI
- Employee assistance program
4d
Principal Data Engineer – Databricks
Staffmax —Toronto, ON
- $150,000–$180,000 a year
- Azure
- SQL
- AWS
Quick apply
3h
Senior Machine Learning Engineer
Motion Recruitment —Toronto, ON
- Full-time
- Azure
- Computer Science
- System design
5d
Technical Lead, Software Development
Method Integration Inc. —Toronto, ON
- $120,000–$144,000 a year
- Full-time
- Hybrid work
- CRM software
- Computer Science
- Engineering
- Dental care
- Vision care
Data Engineer / Data Architect & Software Developer — Azure / Databricks
Raise —Ontario
- Full-time
- Hybrid work
- SQL
- Machine learning
- Quality Control
Quick apply
Senior Data Engineer
CorGTA —Toronto, ON
- Up to $100 an hour
- Contract
- Hybrid work
- Salesforce
- SQL
- Continuous improvement

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analytics engineer jobs near toronto on

Senior Software Engineer

Tactable
Toronto, ON

Quick apply

Job details

Full-time
$140,000–$190,000 a year

Qualifications

Data development experience
CI/CD
Performance tuning
Software engineering
Databricks
Data integration
Azure
Cloud architecture
Law
React
Finance
Relational databases
Big data
Spark
System design
English
Data and database experience
Java
SQL
AWS
Bachelor's
Decision making
Back-end development
Mentoring
Software development
APIs
Financial services
Apache
Kafka
Cross-functional collaboration
Software development or architecture experience
Python
Client interaction
Spring framework
Cross-functional communication
Hadoop

Full job description

Our Mission at Tactable

What if you could build software that didn’t just scale, but transformed entire organizations?

At Tactable, this is what drives us. We’re building a world-class cloud, data, and API engineering firm with a mission to power the most influential tech of tomorrow, through expert-led delivery, strong partnerships, and a relentless focus on quality.

We don’t just consult. We build.

Founded by engineers who care deeply about people, process, and product, we go beyond just solving problems. We embed with clients, work across full project lifecycles, and operate at the speed of startups while upholding the rigor of enterprise-grade engineering.

From financial institutions to emerging tech ventures, our work is behind some of the most mission-critical systems in production today, and we’re just getting started. With growing demand from top-tier clients and a strong runway for expansion, we’re building a team of curious, ambitious developers who want to build meaningful things with meaningful people.

Take a look at to learn more about our work and what sets us apart.

The Role: Senior Software Engineer (Cloud, Data & APIs)

This is a hands-on, hybrid role designed for builders. As a Software Engineer, you’ll be part of a deeply technical team solving real-world data and infrastructure challenges for our enterprise clients, from scaling streaming pipelines and integrating APIs to designing high-availability cloud systems.

You’ll have the opportunity to lead technical direction, mentor teammates, and rotate across domains that expose you to new tech, use cases, and industries. We're not just hiring you for a project. We’re investing in your long-term growth.

If you love writing clean code, collaborating cross-functionally, and designing systems that make a real impact, you’ll thrive at Tactable.

What You’ll Do

End-to-End Engineering

Build scalable, high-performance backend systems using Java, leveraging concurrent and distributed architectures
Design and implement robust, distributed data pipelines using Spark, Databricks, Kafka, and Apache Iceberg
Develop and maintain microservices that interact with both streaming and batch data sources
Integrate complex data systems using ETL/ELT processes, Spring Expressions, and custom APIs
Optimize and manage datasets using Parquet, Hadoop, and modern query layers like Dremio
Collaborate with frontend teams to support integration of React-based user interfaces with backend APIs
Modernize and migrate legacy systems to cloud-native infrastructure

Technical Leadership

Guide architectural decisions involving data workflows, storage formats, and service patterns
Break down complex, cross-cutting tasks into structured delivery plans
Mentor junior and mid-level engineers on data engineering best practices, from streaming to transformation layers
Review and document architecture choices and technical designs for transparency and alignment

Client & Project Exposure

Rotate across engagements (every 6–12 months) involving large-scale data and infrastructure challenges, often in banking, financial services, and regulated environments
Lead technical execution across greenfield builds, real-time analytics platforms, and high-throughput systems
Act as a hands-on engineering partner to client teams, building long-term technical trust and delivering meaningful impact

What You Bring

Must-Have Experience

8+ years of extensive software/data engineering experience in production environments
Advanced expertise in Java or Python, including performance optimization, concurrency, and service-oriented architecture
Deep experience building scalable data pipelines with tools like Spark, Kafka, Databricks, and Iceberg
Strong working knowledge of RDBMS and SQL, plus hands-on experience with Parquet and big data file formats
Familiarity with Hadoop-based ecosystems, large-scale data processing, and modern orchestration practices
Hands-on experience with cloud platforms like AWS or Azure
Experience integrating backend services with React-based frontends (bonus if full-stack)
Solid understanding of CI/CD workflows, API design, and cloud infrastructure fundamentals

Bonus Points For

Exposure to LLM/AI-based data transformation tools
Prior experience with Java and Python in mixed-language environments
Experience with Dremio or similar data lake query engines
Experience working in highly regulated industries, especially finance or insurance
Ability to operate in hybrid/in-person environments and lead small technical teams

Why You’ll Love This Role

Growth-First Culture - From custom career paths to project rotation, we design roles around your goals, not just business needs.
Full Ownership & Impact - You’ll own critical parts of delivery, architecture, and technical decision-making. No red tape, no silos.
Tight-Knit Team - We’ve built a culture of trust, collaboration, and curiosity. Whether it’s team lunches, hack days, or a new internal tool, we move as one unit.
Real Work, Real Users - We’re not building MVPs that sit on a shelf. You’ll work on systems that millions rely on, every day.
Flexibility with Structure - We’re a hybrid-first team with a strong appreciation for in-office collaboration, especially at our downtown Toronto HQ. We encourage in-person presence to foster mentorship, connection, and collaboration.

Why This Might Not Be a Fit

If you’re looking for narrow responsibilities or prefer to stay in one tech domain long-term
If you want to work in a rigid hierarchy with formal titles and clear ladders
If you prefer a vendor-style relationship with clients rather than deep, embedded partnerships

Compensation, Benefits & Perks

Salary Range: $140,000 – $190,000 CAD, based on experience and role fit
Comprehensive health and dental plan
Generous PTO and holidays
Laptop & home office equipment provided
Career coaching and personalized development plans
Regular social events, team outings, and wellness activities

Hiring Process & Transparency

This role is for an active vacancy on our engineering team, not a future talent pool position.
As part of our hiring process, we use AI-assisted screening tools. Candidates selected to move forward will complete an initial screening interview via an AI-based platform, followed by direct interviews with our engineering team.

Ready to Build the Next Generation of Cloud & Data Infrastructure?

No cover letter required. Just apply, and let’s start building.

Job Type: Full-time

Pay: $140,000.00-$190,000.00 per year

Benefits:

Dental care
Disability insurance
Extended health care
Life insurance
Paid time off

Education:

Bachelor's Degree (preferred)

Experience:

Software development: 8 years (required)

Language:

English (required)

Location:

Toronto, ON M5A 1E1 (required)

Work Location: Hybrid remote in Toronto, ON M5A 1E1

Quick apply

Refine Your Search

analytics engineer jobs in toronto on

Senior Software Engineer

Specialist - Data Engineering

Data Engineer

Data Engineer

Digital Transformation & AI Director

AI Prompt Engineer for Capital Markets

Scrum Master/Project Manager

Senior Data Engineer

Software Engineer

Senior Data Engineer

Senior AI Engineer

Senior Data Engineer ( Snowflake/ dbt/ AWS)

Data Engineer

Observability Engineer

Senior Analytics Engineer (m/f/d)

Principal Data Engineer – Databricks

Senior Machine Learning Engineer

Technical Lead, Software Development

Data Engineer / Data Architect & Software Developer — Azure / Databricks

Senior Data Engineer

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