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Senior Database Engineer Jobs in Ontario (NOW HIRING)

The Senior / Lead Data Engineer will bepart of McKesson Decision Intelligence team, and ... Understanding oflarge database mining tools and statistical languagesutilizedto efficiently build ...

The Senior / Lead Data Engineer will bepart of McKesson Decision Intelligence team, and ... Understanding oflarge database mining tools and statistical languagesutilizedto efficiently build ...

Senior Data Engineer

Toronto, ON · On-site

CA$90K - CA$132K/yr

The Role: We are looking for a Senior Data Engineer with a minimum of 5+ years of experience in ... Support and implement CI/CD and deployment processes for data pipelines and database changes.

As a Senior Data Engineer at Assent, you will play a critical role in advancing our data ... Work closely with database developers, software development, product management, and AI/ML ...

The Senior AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities ... databases (e.g., Pinecone, Elasticsearch), multi-agent AI systems with tool calls, and prompt ...

Senior Data Engineer This is a Hybrid position to our Toronto HelloFresh Headquarters The role The ... Expertise in data modeling, relational databases (e.g., PostgreSQL), object stores (e.g., AWS S3 ...

New

Senior Data Engineer

Toronto, ON · On-site

CA$69K - CA$119K/yr

We are currently seeking a Senior Data Engineer to join the Data, AI & Analytics (DNA) Team ... A successful data engineering candidate will demonstrates a deep understanding of database concepts ...

Senior Data Engineer Structure: Hybrid (2 days onsite / 3 days remote) - Toronto Duration: 6-Month Contract Pay Rate:up to $100 INC p/h -- We have a great new opportunity to support one of our ...

Role Summary The Senior Data Engineer will join the Software Engineering team that leads the delivery of data and application solutions that enable OMERS Global Investments (GI) and Corporate teams ...

They're hiring a Senior Data Engineer to lead the design and evolution of real-time data systems and scalable architecture supporting both operational intelligence and predictive modelling. This is a ...

They're hiring a Senior Data Engineer to lead the design and evolution of real\-time data systems and scalable architecture supporting both operational intelligence and predictive modelling. This is ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

Showing results 41-60

Senior Database Engineer information

See Ontario salary details

$13K

$129.4K

$178K

How much do senior database engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior database engineer in Ontario is $129,434.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $146,000.00 per year, depending on experience, location, and employer.

What is a senior database engineer?

A Senior Database Engineer is an experienced IT professional responsible for designing, implementing, maintaining, and optimizing database systems within an organization. They ensure databases are secure, reliable, and perform efficiently to meet business needs. Senior Database Engineers often lead projects, mentor junior staff, and collaborate with developers and system administrators to support data-driven applications. Their expertise is crucial for data integrity, scalability, and disaster recovery planning.

What are the key skills and qualifications needed to thrive as a senior database engineer, and why are they important?

A Senior Database Engineer needs advanced knowledge of database architecture, SQL, performance tuning, and a degree in computer science or a related field. Expertise in tools like Oracle, MySQL, PostgreSQL, database clustering, and relevant certifications such as Microsoft Certified: Azure Database Administrator Associate are typical requirements. Strong problem-solving, analytical thinking, and effective communication skills help them excel in managing complex data environments and collaborating with development teams. These capabilities are crucial for ensuring robust, scalable, and secure data solutions that meet organizational needs.

What are some common challenges senior database engineers face when managing large-scale databases, and how are they typically addressed?

Senior Database Engineers often encounter challenges such as ensuring database performance under heavy loads, maintaining data integrity during migrations, and optimizing queries for efficiency. Addressing these issues usually involves proactive monitoring, implementing indexing strategies, and collaborating closely with development teams to design scalable database schemas. Regularly updating skills to keep up with new database technologies and security best practices is also essential for tackling these challenges effectively.

What is the difference between Senior Database Engineer vs Database Administrator?

AspectSenior Database EngineerDatabase Administrator
Primary FocusDesigning, developing, and optimizing database systemsMaintaining, backing up, and securing databases
Skills & CertificationsSQL, database architecture, performance tuning, certifications like Oracle or Microsoft SQL ServerDatabase management, backup/recovery, security, certifications like Oracle DBA or Microsoft Certified Database Administrator
Work EnvironmentDevelopment teams, data engineering projects, system designOperational teams, system maintenance, troubleshooting
Industry UsageUsed across tech, finance, healthcare for database developmentCommon in enterprise IT, government, and large organizations for database upkeep

While both roles work closely with databases, a Senior Database Engineer primarily focuses on designing and optimizing database systems, whereas a Database Administrator handles daily maintenance, security, and backups. The roles complement each other but differ in scope and responsibilities.

What are the most commonly searched types of Database Engineer jobs in Ontario?

The most popular types of Database Engineer jobs in Ontario are:

What are popular job titles related to Senior Database Engineer jobs in Ontario?

For Senior Database Engineer jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Senior Database Engineer jobs in Ontario look for?

The top searched job categories for Senior Database Engineer jobs in Ontario are:

What cities in Ontario are hiring for Senior Database Engineer jobs?

Cities in Ontario with the most Senior Database Engineer job openings:

What are popular job titles related to Senior Database Engineer jobs in ON?

For Senior Database Engineer jobs in ON, the most frequently searched job titles are:

Infographic showing various Senior Database Engineer job openings in Ontario as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $129,434 per year, or $62.2 per hour.

Senior / Lead Data Engineer

McKesson

Mississauga, ON • On-site, Remote

Full-time

Re-posted 23 days ago


McKesson rating

8.0

Company rating: 8.0 out of 10

Based on 211 frontline employees who took The Breakroom Quiz

43rd of 86 rated pharmaceutical


Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

Job title: Senior/Lead Data Engineer

Current Need:

The Senior / Lead Data Engineer will bepart of McKesson Decision Intelligence team, and responsibilities include managing data exploration and analysis, requirements assessment, data source identification, exploratory research, and defining as well asmaintainingdata definitions, business rules, and lineage.Additionalduties involve documentation, collaborating with Data Architects and Engineers on product design, data stewardship, metadata management, ensuring data quality, conductingdifferent typesof testing(functional, regression, exploratory), and preparing and executing test cases and plans.

Key Responsibilities

  • Support a cross-functional team andprovidein-depth data insights for complex business problems that can be approached with advanced analytics

  • Work closely with the other Data Engineers and Scientists to deliver results

  • Citizen of PSAS BU data engineering team and enable the BU Driven Data Insights

  • Coordinate and collaborate with program managers and other internal stakeholders including gathering requirements and modeling criteria

  • Leverage tools and resources to plan,evaluateand execute strategic initiatives

  • Strong delegation and management skills to ensure work is conducted ina timely, quality fashion by internal and external partners and multi-shore teams/resources.

  • Continuously improve andoptimizebusiness processes and operations.Identifying, publicizing the tech debt across data landscape and championing addressal pursuits.

  • Data Engineering and Analytics support

  • Thinks in automation first, enterprise first and reusability mindset. Develops solution architectures and designs and helps build consensus among teams to champion the data solutions.

  • Collaborates with and across Agile teams to design, develop, test, implement, and support technical solutions with full stack of Data technologies,toolsand processes.

  • Implements data governance practices in partnership with business stakeholders and peers, data governance officeteamsand solution teams to advocate for data literacy and data democratization across enterprise.

  • Builds scalable and reliable data engineering solutions for moving data efficiently across systems from various internal and external data sources in the batch and real-time mode

  • Analyzes, models structured data and implement/scale algorithms to support analysis using advanced statistical and mathematical methods from statistics, data mining, econometrics, and operations research, using distributed and parallel programming techniques.

  • Must be well versed in general infrastructure technology and understand public and private cloud concepts such as Software as a Service (SaaS), Platform as a Service (PaaS), Desktop as a Service (DaaS), and Infrastructure as a Service (IaaS) Experience with automation to Infrastructure (IaC- Infrastructure as Code)

  • Troubleshooting, Monitoring and Performance Tuning of various software components of various data science analytical solutions, RESTful web services etc...

  • Understanding oflarge database mining tools and statistical languagesutilizedto efficiently build approaches andexecute onanalytical use cases. Specific experience withSnowflake, Databricks, Azure data factory,PySpark,Analytical SQL,Splunk,Alation,R, Python.Experience with SAP and IBM DataStage is also extremely beneficial.

  • Communicateresults and educate others through reports and presentations.

Minimum Job Qualifications(Knowledge, Skills, & Abilities):

Education/Training -

  • Bachelor's or master's degree in data science, Statistics, Computer Science, Economics, ora relatedfield.

  • 7+ years of experience in data analytics, with at least 2 years in a leadership or mentorship role.

  • Proficiencyin SQL, Python, R, or similar analytical tools.

  • Experience with data visualization platforms such as Power BI, Tableau, or Looker.

  • Strong understanding of statistical analysis, predictive modeling, and data mining techniques.

  • Experience with analytical tools such as Databricks & Snowflake

  • Excellent communication and stakeholder management skills.

  • Ability to manage multiple projects and priorities in a fast-paced environment.

Specialized Knowledge/Skills -

  • Leadership Skills:Exceptional ability to lead, mentor, and inspire teams, fostering an environment of accountability and innovation. This positionoperatesunder consultative direction towards broad corporate goals, requiring a high degree of initiative and independence in achieving project outcomes.

  • Strategic Thinking: Strong analytical skills and the ability to develop strategies that align with long-termobjectives.

  • Problem Solving: Innovative and creative problem-solving skills capable of handling complex challenges.

Working Conditions:Environment (Office, warehouse, etc.) -

  • Traditional officeenvironment.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

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