20 meilleures offres (analytics engineer, north toronto on) (à pourvoir)

Senior Software Engineer
Tactable —Toronto, ON
- De 140 000 $ à 190 000 $ par an
- Temps plein
- Travail hybride
- Azure
- Anglais
- Java
- Assurance Invalidité
- Assurance Dentaire
Postuler rapidement
Data Engineer
Tactable —Toronto, ON
- De 140 000 $ à 190 000 $ par an
- Temps plein
- Travail hybride
- Azure
- Anglais
- SQL
- Assurance Dentaire
- Congés payés
Postuler rapidement
Business Intelligence Specialist – Data, Analytics, Automation and AI
Owens MacFadyen Group —Toronto, ON
- À partir de 80 000 $ par an
- Temps plein
- Azure
- Informatique
- Ingénierie
- Programmes de Bien-être
- Assurance Invalidité
Postuler rapidement
il y a 2 jours
Business Intelligence Specialist – Data, Analytics, Automation and AI
Owens MacFadyen Group —Toronto, ON
- À partir de 80 000 $ par an
- Temps plein
- Azure
- Informatique
- Ingénierie
- Programmes de Bien-être
- Assurance Invalidité
Postuler rapidement
il y a 2 jours
AI Platform Engineer
Confidential —Toronto, ON
- De 75 $ à 90 $ de l’heure
- Contrat
- Azure
- DevOps
- Recherche
Postuler rapidement
il y a 7 jours
Data Management Analyst (12-Month Contract)
CAAT Pension Plan —Toronto, ON
- De 96 800 $ à 113 800 $ par an
- Temps plein
- Microsoft Excel
- Oracle
- SQL
- Programmes de Bien-être
Postuler rapidement
Ai Engineer
Insight Global —Toronto, ON
- De 65 $ à 75 $ de l’heure
- Contrat
- Travail hybride
- Azure
- SQL
- Services financiers
Postuler rapidement
il y a 14 jours
Database Engineer
Rakuten Kobo —Toronto, ON
- De 92 081 $ à 142 081 $ par an
- Temps plein
- Travail hybride
- Oracle
- Informatique
- Windows
- Congés payés
- Assurance Vision
Principal Data Engineer
Tangerine Bank —Toronto, ON
- Azure
- DevOps
- AWS
Data Scientist III
TD Bank —Toronto, ON
- De 96 900 $ à 136 800 $ par an
- Temps plein
- Informatique
- Ingénierie
- SQL
- Congés payés
il y a 11 jours
Sr. Full Stack Data Science Engineer
TD Bank —Toronto, ON
- De 154 000 $ à 199 500 $ par an
- Temps plein
- Bilingue
- Azure
- Anglais
- Congés payés
AVP, Infrastructure & Engineering, Technology Data Management
TD Bank —Toronto, ON
- De 175 000 $ à 215 000 $ par an
- Temps plein
- Azure
- Informatique
- Ingénierie
- Congés payés
il y a 11 jours
Senior Manager, CX Data Integration & Performance
TD Bank —Toronto, ON
- De 115 600 $ à 163 200 $ par an
- Temps plein
- SQL
- Services financiers
- Intelligence artificielle
- Congés payés
il y a 7 jours
Full Stack Data Science Engineering Specialist
TD Bank —Toronto, ON
- De 187 500 $ à 261 000 $ par an
- Temps plein
- Bilingue
- Azure
- Anglais
- Congés payés
Data Scientist III
TD Bank —Toronto, ON
- De 96 900 $ à 136 800 $ par an
- Temps plein
- Informatique
- Ingénierie
- Finance
- Congés payés
il y a 11 jours
Data and AI Engineer
Sanofi EU —Toronto, ON
- De 86 100,00 $ à 124 366,66 $ par an
- Informatique
- Ingénierie
- Anglais
7 h
Full Stack Data Science Engineer
TD Bank —Toronto, ON
- De 120 000 $ à 154 000 $ par an
- Temps plein
- Bilingue
- Azure
- Anglais
- Congés payés
il y a 12 jours
Data Engineer I
TD Bank —Toronto, ON
- De 69 700 $ à 98 400 $ par an
- Temps plein
- Travail hybride
- Azure
- Bases de données
- SQL
- Congés payés
il y a 12 jours
Principal Cloud Engineer
BMO Financial Group —Toronto, ON
- De 94 600 $ à 176 000 $ par an
- Temps plein
- Azure
- DevOps
- Recherche
- Bourses d'Études
- Assurance Vie
Staff AI Platform Engineer
Tangerine Bank —Toronto, ON
- Informatique
- Azure
- Informatique

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Senior Software Engineer

Tactable
Toronto, ON

Postuler rapidement

Détails du poste

Temps plein
De 140 000 $ à 190 000 $ par an

Profil recherché

CI/CD
Azure
Droit
React
Développement à pile complète
Big data
Spark
Anglais
Java
SQL
AWS
Baccalauréat
Développement logiciel
APIs
Apache
Kafka
Intelligence artificielle
Python
Spring
Hadoop

Description complète du poste

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

Postuler rapidement

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Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : analytics engineer (north toronto on)

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