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Manager Data Engineering Jobs in Toronto, ON (NOW HIRING)

WHAT'S ON OFFER Reporting to the Manager, Data Engineering and as a member of the Data Management team, the Data Engineer is passionate, curious and motivated to design and implement scalable ...

New

Design and own the SRE function for Level 1 data ingestion across all GCP deployments: alert policy design, SLO definition, incident management, and on-call operations * Eliminate manual data quality ...

Engineering Excellence: Adhere to development best practices, ensuring meticulous code management ... Data Platforms: Proven experience working with Snowflake. * Programming: Proficiency in Python ...

Lead, Data Engineer

Mississauga, ON ยท On-site +1

CA$122K - CA$162K/yr

Define and uphold engineering standards, patterns, and best practices aligned with enterprise data ... Partner with Product Managers, Data Scientists, Analysts, and business stakeholders to translate ...

Lead, Data Engineer

Mississauga, ON ยท On-site +1

CA$122K - CA$162K/yr

Define and uphold engineering standards, patterns, and best practices aligned with enterprise data ... Partner with Product Managers, Data Scientists, Analysts, and business stakeholders to translate ...

Netlight has been awarded several times for profitable growth and management, as a top employer ... We build solutions across diverse domains - backend, frontend, cloud, mobile, data engineering ...

Knowledge of data engineering industry best practices: schema management, data quality, data governance, Cloud management, Databases, Data Warehousing, ETL pipelines, and data streaming * Programming ...

Data Engineer

Concord, ON

CA$90K - CA$150K/yr

This includes building ingestion pipelines, managing data stores, implementing quality and ... Minimum Qualifications * 4+ years of data engineering experience, with demonstrated ability to ...

Data Engineer II

Toronto, ON

CA$81K - CA$115K/yr

Raise service-now requests and work with the change management team to support release management activities * Lead data engineering initiatives and capabilities, data governance principles and how ...

Data Engineer

Markham, ON

CA$90K - CA$150K/yr

This includes building ingestion pipelines, managing data stores, implementing quality and ... Minimum Qualifications * 4+ years of data engineering experience, with demonstrated ability to ...

Data Engineer II

Toronto, ON ยท On-site

CA$81K - CA$115K/yr

Raise service-now requests and work with the change management team to support release management activities * Lead data engineering initiatives and capabilities, data governance principles and how ...

Showing results 21-40

Manager Data Engineering information

See Toronto, ON salary details

$77.8K

$123.5K

$214.2K

How much do manager data engineering jobs pay per year?

As of Aug 9, 2026, the average yearly pay for manager data engineering in Toronto, ON is $123,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,865.00 and $129,790.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the key skills and qualifications needed to thrive as a manager data engineering?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.
What are the most commonly searched types of Data Engineering jobs in Toronto, ON? The most popular types of Data Engineering jobs in Toronto, ON are:
What are popular job titles related to Manager Data Engineering jobs in Toronto, ON? For Manager Data Engineering jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Toronto, ON look for? The top searched job categories for Manager Data Engineering jobs in Toronto, ON are:
Infographic showing various Manager Data Engineering job openings in Toronto, ON as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $123,507 per year, or $59.4 per hour.

Data Engineer

Odaia Intelligence Inc.

Toronto, ON โ€ข Remote

Full-time

Posted 3 days ago

New


Job description

Data Engineer 
ABOUT ODAIA
ODAIA noun o·da·ia | 'oh-day-yeah An Ancient Greek word referring to "ōdē", the word for song, and the root of melody, harmony, and orchestra. We chose it deliberately: the best commercial intelligence doesn't just inform — it orchestrates. 
To learn more visit odaia.ai.
ODAIA is a remote first organization, all our positions are WFH with frequent company and team based socials, events and meetings in-person and virtually. 
ODAIA works with pharma commercial teams to grow their brands and engage with the right healthcare professionals (HCPs) at the right time. ODAIA's SaaS AI platform turns complex data into personalized insights, enabling commercial teams to understand their customers - (HCPs), predict prescribing behaviors and make informed decisions that bring therapies to patients faster.
ODAIAns (what we call ourselves) are inspired to reinvent the future of how non-technical people leverage data in their day-to-day lives. We are passionate about solving complex problems in data, AI, engineering, design, and product, so our customers don’t have to. We live by the notion that “simplicity is the ultimate sophistication;” and making simplicity scalable is an even bigger challenge. That’s why we have a crazy talented team led by serial entrepreneurs, tech veterans, and life sciences experts.
To learn more visit  odaia.ai.
OUR MISSION
Reducing patients’ time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI. 
We’re also on a mission to build an innovative, diverse, and ego-free business, where trust, innovation and ownership are valued. You’re on a mission too? We’re here for it. We put an emphasis on career development for our employees, and the opportunities to grow are extensive.
WHAT’S ON OFFER
Reporting to the Manager, Data Engineering and as a member of the Data Management team, the Data Engineer is passionate, curious and motivated to design and implement scalable solutions end-to-end.  This high-impact position focuses on key aspects of data management including fast and efficient data onboarding, and the initial bring up of customer data into our system. 
WHAT YOU WILL DO
  • Build scalable data infrastructure to support customer onboarding and implementation, enabling fast and efficient ingestion of customer data into ODAIA’s platform
  • Design and ship Claude-powered tools that reduce mean time to resolution (MTTR) for production incidents by automating error triage and fix proposals
  • Design and develop automation tools that streamline how implementation consultants configure and ingest new customer datasets
  • Solve complex data challenges by defining, prototyping, and implementing end-to-end data solutions in agile startup environment
  • Serve as a subject matter expert to internal teams and customers on data integration, architecture, and management best practices
  • Implement scalable ingestion pipelines leveraging AWS tools and services to manage high-volume customer data
  • Develop integrations with Veeva/Salesforce and other third-party data sources; contribute to proof-of-concept builds and internal applications
  • Design APIs and data models that enable internal data access and cross-system interoperability
  • Explore and onboard new data sources, designing warehouse schemas that improve analytics and product capabilities
  • Collaborate cross-functionally with product and engineering teams to align data systems with strategic objectives

WHAT YOU BRING
  • 3+ years in data engineering, building production grade data pipelines
  • Strong experience with AWS (ECS, S3, Lambda, DynamoDB, API Gateway, etc.) and Snowflake
  • Experience with Dagster or Airflow for orchestration and workflow management
  • Strong programming proficiency in Python
  • Experience building and optimizing complex data models utilizing DBT with a strong understanding of ETL processes
  • Solid understanding of data structures, algorithms, and database design, with expertise in performant SQL schema and query development
  • Familiarity with CI/CD and Test Driven Development in a production environment
  • Experience integrating with CRM systems (Veeva, Salesforce) and handling healthcare, pharmaceutical, or pharmacy-related datasets is a strong asset
  • Solid, demonstrated experience in AWS stack or an equivalent cloud platform
  • Background in modernizing data environments, migrating from legacy systems to cloud-native architectures
  • Collaborative and self-directed, able to manage projects independently, prioritize effectively, and adapt quickly to changing business needs
  • Excellent communication skills, capable of translating complex technical concepts for both technical and non-technical stakeholders

WHAT WE OFFER
Values-Based Culture
  • We Ignite Innovation, Own It, and Stand Together
AI-Native Environment
  • At ODAIA, we don't just deliver AI — we live it. We use AI and agentic automation to 10x our efficiency and impact, encouraging constant curiosity in leveraging and integrating AI
Comprehensive Rewards
  • Meaningful stock option grants, immediate medical/dental enrollment, and flexible time off
Remote-First Flexibility
  • WFH flexibility with intentional, high-value in-person collaboration and socials

LOCATION & BUSINESS TRAVEL
ODAIA is a remote first organization, with employees located across Canada and the U.S. Our primary office hub is located in central downtown Toronto, walking distance from Union Station.
EMPLOYMENT VERIFICATION
Any conditional offer of employment made to a successful candidate will be subject to the full satisfaction with the results of any background and reference checks.
JOB PROCESS & INTERVIEW DISCLOSURE
ODAIA does use artificial intelligence (AI) to review applications, filter or analyze resumes.
Our recruitment team may also use an AI-powered meeting assistant to record and transcribe interviews for note-taking purposes only. This tool helps our recruiters to be fully present during conversations with candidates who provide consent to this tool being used during an interview. This tool is used in compliance with privacy and employment laws across Canada and the U.S.
We respect the time candidates invest into participating in our recruitment process. ODAIA is committed to providing timely status updates on hiring decisions to all candidates following their final interview, in accordance with applicable employment laws.
Final compensation is determined through a comprehensive review of the successful candidate's unique skill set, specialized experience, certifications and other relevant considerations. As such, the final offer may vary based on these specific factors. Salary expectations will be discussed collaboratively early in the process to ensure alignment. This role is also eligible for health benefits, stock options, and flexible time off policies as mentioned above.
Position Status: Please note that this is an existing position and that this vacancy is related to a recent departure.
DIVERSITY, EQUITY & INCLUSION
ODAIA is an equal opportunity employer. We are committed to building an environment where everyone feels included, valued, respected and heard. We are committed to creating a diverse workplace, free from discrimination on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, disability status or any other characteristics protected by local laws, regulations or ordinances.
ACCOMMODATIONS AND ACCESSIBILITY
Accommodations are available upon request. If you need assistance or accommodation due to a disability or special need at any stage of the recruitment process, please contact us at hr@odaia.ai 
 

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