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Remote Senior Data Engineer Jobs in Ontario (NOW HIRING)

McKesson

Senior / Lead Data Engineer

Mississauga, ON · On-site +1

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 ...

Lakeview Loan Servicing

Lead Data Engineer

Toronto, ON · Remote

CA$220K - CA$260K/yr

This is a fully remote position that offers a competitive salary range of $220,000 to $260,000 USD ... Serve as a senior technical point of contact for data-heavy initiatives, communicating tradeoffs ...

McKesson

Lead, Data Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision Intelligence organization, responsible for leading the design, delivery, and operationalization of ...

McKesson

Lead, Data Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision Intelligence organization, responsible for leading the design, delivery, and operationalization of ...

Lakeview Loan Servicing

Data Engineer

Toronto, ON · Remote

CA$140K - CA$190K/yr

Overview The Data Engineer on the Nebula team plays a critical role in building and evolving the ... This is a fully remote position that offers a competitive salary range of $140,000 to $190,000 USD ...

McKesson

Sr Data Specialist

Mississauga, ON · On-site +1

The Sr Data Specialist provides technical leadership in designing, implementing, and optimizing ... Recommend and implement modern tools, technologies, and best practices to enhance data engineering ...

McKesson

Sr Data Specialist

Mississauga, ON · On-site +1

The Sr Data Specialist provides technical leadership in designing, implementing, and optimizing ... Recommend and implement modern tools, technologies, and best practices to enhance data engineering ...

Takeaway

Senior Manager - Data Engineering

Toronto, ON · On-site +1

CA$120K - CA$160K/yr

Winnipeg/Toronto Remote Reporting to: Associate Director of Data & Insights These are some of the ... Partner with the Lead Data Engineer on system design of our application databases and services ...

Mercor

Data Engineer - AI Coding Expert

Toronto, ON · Remote

CA$80/hr

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering tasks. * Review model-generated implementations involving ETL pipelines , data ...

Scotiabank

Senior Data Software Engineer

Toronto, ON · On-site +1

As a Senior Software Engineer on Scotiabank's Data & AI Technology team, you will lead the design, development and scaling of our enterprise data catalog and data management solutions leveraging the ...

Scotiabank

Senior Data Scientist

Toronto, ON · On-site +1

We are hiring a Senior Data Scientist to lead the design, development, and deployment of AI-powered ... Write high-quality Python and SQL to support data analysis, model development, prompt engineering ...

TELUS

L3 Data Management (GCP)

Toronto, ON · On-site +1

We provide business intelligence, data assets, data products, business metrics and data Engineering ... You will also have the opportunity to grow your skills under the mentorship of senior team members.

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All JobsData Engineer JobsRemote Senior Data Engineer JobsRemote Senior Data Engineer Jobs in Ontario

Remote Senior Data Engineer information

What is the difference between Remote Senior Data Engineer vs Data Scientist?

AspectRemote Senior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields, certifications
Work EnvironmentData pipelines, ETL processes, cloud platformsData analysis, modeling, visualization tools
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, research, finance

Remote Senior Data Engineers focus on building and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles often collaborate but serve different functions within data teams. Understanding these differences helps in choosing the right career path or job search focus.

What is a remote senior data engineer?

Remote Senior Data Engineers are experienced professionals who design, build, and maintain complex data systems and pipelines, but work from a location outside of the company's main office. They are responsible for ensuring reliable data flow, optimizing data storage, and supporting analytics, often collaborating with teams across different time zones. Their role typically involves advanced programming, data architecture, and the implementation of best practices in data engineering, all while working remotely. This position demands strong technical skills, excellent communication, and the ability to work independently.

How does a remote senior data engineer typically collaborate with distributed teams to ensure data pipeline reliability?

As a Remote Senior Data Engineer, collaboration with cross-functional, distributed teams is usually facilitated through agile project management tools, regular video meetings, and shared documentation platforms. You’ll often work closely with data scientists, analysts, and DevOps engineers to design, build, and maintain scalable data pipelines. Clear communication and proactive status updates are essential to ensure everyone stays aligned and issues are addressed quickly. Leveraging version control systems and automated testing also helps maintain the reliability and quality of the data infrastructure across different time zones.

What are the key skills and qualifications needed to thrive as a remote senior data engineer?

To thrive as a Remote Senior Data Engineer, you need advanced expertise in data engineering concepts, SQL, and programming languages like Python or Scala, along with a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data frameworks (like Spark or Hadoop), and relevant certifications are typically required. Excellent problem-solving, communication, and self-management skills are crucial for collaborating remotely and driving projects independently. These competencies ensure robust data pipelines, effective teamwork, and successful delivery of scalable data solutions in distributed environments.
What are the most commonly searched types of Senior Data Engineer jobs in Ontario? The most popular types of Senior Data Engineer jobs in Ontario are:
What are popular job titles related to Remote Senior Data Engineer jobs in Ontario? For Remote Senior Data Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Remote Senior Data Engineer jobs in Ontario look for? The top searched job categories for Remote Senior Data Engineer jobs in Ontario are:
What cities in Ontario are hiring for Remote Senior Data Engineer jobs? Cities in Ontario with the most Remote Senior Data Engineer job openings:
Remote Senior Data Engineer jobs near you
Infographic showing various Remote Senior Data Engineer job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior / Lead Data Engineer

McKesson

Mississauga, ON • On-site, Remote

Full-time

Re-posted 24 days ago

McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 209 frontline employees who took The Breakroom Quiz

47th 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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