Northern Ontario Data Jobs – 2623 Openings This Week

Data Engineer
Tactable —Toronto, ON
- $140,000–$190,000 a year
- Full-time
- Hybrid work
- Azure
- English
- SQL
- Dental care
- Paid time off
Quick apply
AI Training Specialist – Quantitative - AI Trainer
DataAnnotation —Hamilton, ON
- $55–$60 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
Remote Data Entry Clerk
Bona Group Inc. —Ontario
- $3,800–$56,000 a month
- Full-time
- Remote
- Microsoft Word
- Microsoft Excel
- Microsoft Outlook
- COVID-19 protective measures
- Designated paid holidays
2d
Data Entry for BestMortgageBrokerToronto Org
BestMortgageBrokerToronto Org —Toronto, ON
- $6,000–$7,000 a month
- Full-time
- Microsoft Excel
- Administrative experience
- Data entry
- Flexible schedule
Quick apply
11d
Data Analyst
Choice Talent Agency —Toronto, ON
- $65,000 a year
- Full-time
- Microsoft Excel
- Analysis skills
- Project management
Quick apply
Data Entry Associate
YORK1 —Etobicoke, ON
- $46,000–$48,000 a year
- Full-time
- Microsoft Word
- Microsoft Excel
- Microsoft Outlook
- Dental care
Quick apply
Data Analyst
Moerae Solutions Incorporated —Ottawa, ON
- Contract
- Microsoft Powerpoint
- Bilingual
- Microsoft Excel
AI Data Entry Clerk
Techo-Bloc —Ayr, ON
- $25–$30 an hour
- Full-time
- Microsoft Excel
- Data entry
- Organizational skills
- Employee assistance program
Quick apply
Data Entry Operator
IIQAF —Windsor, ON
- $25–$35 an hour
- Full-time
- Hospitality
- Microsoft Excel
- Microsoft Office
Quick apply
Data Coordinator
Second Harvest —Etobicoke, ON
- $50,000–$55,000 a year
- Full-time
- Hybrid work
- Microsoft Excel
- Microsoft Office
- Project management
- Disability insurance
- Dental care
Data Entry
S.V.S. Transportation Inc. —Stoney Creek, ON
- $22–$25 an hour
- Full-time
- Microsoft Excel
- Administrative experience
- Data entry
Quick apply
Data Analyst
Teranet —Toronto, ON
- $70,000–$90,000 a year
- Full-time
- Computer science
- Microsoft Excel
- Azure
- Employee assistance program
10d
Data Analyst
Tucows Inc. —Toronto, ON
- $79,650–$88,500 a year
- Remote
- Schematics
- SQL
- AI
Quick apply
Data Analyst
Intouch Insight —Kanata, ON
- $60,000–$70,000 a year
- Full-time
- Hybrid work
- Microsoft Powerpoint
- Bilingual
- Microsoft Excel
Quick apply
8d
Data Center Technician
Google —Toronto, ON
- $88,000–$90,500 a year
- Weekends as needed
- Maintenance
- Project management
- Bachelor's
5d
Junior Data Analyst
Releady —Toronto, ON
- $30.00–$34.50 an hour
- Full-time
- Microsoft Powerpoint
- Microsoft Excel
- Data analysis skills
Quick apply
Data Entry Clerk
MyHealth Partners Inc. —Toronto, ON
- $19–$21 an hour
- Organizational skills
- Medical terminology
- Communication skills
- Dental care
- Paid time off
Quick apply
Data Analyst
VersaBank —London, ON
- Full-time
- Microsoft Excel
- SQL
- Analysis skills
- Tuition reimbursement
Data Scientist
FutureFit AI —Toronto, ON
- $100,000–$155,000 a year
- Full-time
- Remote
- SQL
- AWS
- Travel
Senior Data Analyst
Instacart —Ontario
- $126,000–$133,000 a year
- Remote
- Oracle
- Management
- Finance
13d

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Data Engineer

Tactable
Toronto, ON

Quick apply

Job details

Full-time
$140,000–$190,000 a year

Qualifications

CI/CD
Cloud infrastructure
Azure
Kubernetes
English
SQL
Docker
Software development
APIs
Python

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: Data Engineer (Cloud, Python)

This is a hands-on, hybrid role designed for data engineers who thrive at the intersection of infrastructure, pipelines, and product. As a Data Engineer, you’ll be part of a deeply technical team solving real-world data challenges for enterprise clients building robust, cloud-native data platforms, optimizing large-scale workflows, and delivering reliable data systems in production environments.

You’ll have the opportunity to own architectural decisions, drive platform migrations, and mentor others across data and software engineering domains. Whether you're scaling a trading system or modernizing a legacy data warehouse, your work will be high-impact and highly visible.

If you care about clean pipelines, scalable architecture, and building systems that power real users, you’ll thrive at Tactable.

What You’ll Do

End-to-End Data Engineering

Build scalable, reliable ETL/ELT pipelines using Python, and SQL
Design and maintain batch and near–real-time data workflows using Python-based frameworks
Integrate diverse data sources from Azure Blob, ADLS, and both relational and non-relational systems
Migrate legacy data architectures into modern, cloud-native environments
Optimize workloads for performance, cost, and fault tolerance
Ensure data quality, observability, and reliability across pipelines

Technical Leadership

Own critical components of infrastructure across batch and streaming systems
Break down complex technical challenges into executable components
Mentor junior engineers through code reviews, architectural guidance, and technical pairing
Automate and standardize pipelines to reduce overhead and increase velocity
Contribute to internal tooling, documentation, and engineering best practices

Client & Project Exposure

Work directly with client engineering teams in finance, trading, and enterprise tech
Rotate across domains and industries every 6–12 months, gaining broad exposure to systems and technologies
Tackle greenfield builds, system migrations, and enterprise-scale data transformations
Engage as a true partner, not a vendor, in shaping data product strategy

What You Bring

Must-Have Experience

Extensive experience in data engineering or software engineering roles
Strong programming skills in Python
Deep experience building and maintaining production-grade data pipelines
Strong SQL skills and experience working with both structured and unstructured data
Hands-on experience with cloud infrastructure (preferably Azure)
Experience with CI/CD pipelines and infrastructure-as-code practices
Familiarity with data orchestration tools (e.g., Airflow, dbt)
Experience working in containerized environments (Docker, Kubernetes)

Bonus Points For

Experience working in finance, trading, or other regulated / high-performance environments
Experience with Databricks or similar managed data platforms
Strong documentation, collaboration, and knowledge-sharing mindset
Comfort working across the full data lifecycle, from ingestion to analytics and reporting

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

You’re looking for narrowly scoped responsibilities or long-term focus on a single domain
You prefer a rigid hierarchy with formal titles and isolated workstreams
You’re more comfortable in a vendor-style delivery model than deep technical partnerships

Compensation, Benefits & Perks

Salary Range: $100,000 – $140,000 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 who move forward complete an initial screening interview via an AI-based platform, with results reviewed by Human Resources. Selected candidates then proceed to 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

Experience:

Software development: 7 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

data jobs in northern ontario

Data Engineer

AI Training Specialist – Quantitative - AI Trainer

Remote Data Entry Clerk

Data Entry for BestMortgageBrokerToronto Org

Data Analyst

Data Entry Associate

Data Analyst

AI Data Entry Clerk

Data Entry Operator

Data Coordinator

Data Entry

Data Analyst

Data Analyst

Data Analyst

Data Center Technician

Junior Data Analyst

Data Entry Clerk

Data Analyst

Data Scientist

Senior Data Analyst

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