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Remote Python Data Engineer Jobs in Ontario (NOW HIRING)

Remote Job Summary: We're looking for a Senior Data Engineer with strong data platform experience ... Proficiency in SQL and Python with strong familiarity towards modern data engineering frameworks ...

This is a permanent position that is completely remote! Our client is a global enterprise company ... Hands-on experience coding in Python is required * Experience working with Business Intelligence ...

This is a permanent position that is completely remote! Our client is a global enterprise company ... Hands-on experience coding in Python is required * Experience working with Business Intelligence ...

This is a permanent position that is completely remote! Our client is a global enterprise company ... Hands-on experience coding in Python is required * Experience working with Business Intelligence ...

Remote position. Candidates must be based in Mexico, preferably in Monterrey, Nuevo Leon *** Job ... Provide technical expertise on SQL, Python, and data modeling best practices * Partner with ...

This is a permanent position that is completely remote! Our client is a global enterprise company ... Hands-on experience coding in Python is required * Experience working with Business Intelligence ...

25-199 - Data Engineer

Oshawa, ON ยท Remote

$92 - $100/hr

CHQ (Hybrid - 3 days remote), 1908 Colonel Sam Drive, Oshawa Job Overview As an Azure and ... Develop optimized, performant data pipelines and models at scale using technologies such as Python ...

Remote Your New Company Join a mission-driven organization making a meaningful impact through data and technology. This is an exciting opportunity to help shape modern data capabilities in a cloud ...

... remote) Job Overview As a Senior Data Developer, you will be responsible for building and ... Develop optimized, performant data pipelines and models at scale using technologies such as Python ...

The Lead Data Engineer will bepart of McKesson Decision Intelligence team, and responsibilities ... Alation,R, Python.Experience with SAP and IBM DataStage is also extremely beneficial ...

The Lead Data Engineer will bepart of McKesson Decision Intelligence team, and responsibilities ... Alation,R, Python.Experience with SAP and IBM DataStage is also extremely beneficial ...

Canada - PST (Remote) About the role you're considering As a Data Engineer, you can transform how a ... Build scalable data pipelines (SparkSQL, Scala & Python) leveraging Airflow scheduler/executor ...

Lead, Data Engineer

Mississauga, ON ยท On-site +1

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision ... Advanced proficiency in SQL, Python, and scripting . * Strong handson experience with: * Databricks ...

Lead, Data Engineer

Mississauga, ON ยท On-site +1

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision ... Advanced proficiency in SQL, Python, and scripting . * Strong handson experience with: * Databricks ...

This is a remote role and open to candidates based anywhere within Canada. You'll own the end-to ... Strong Python and PySpark for production data engineering. * Demonstrated GIS depth: PostGIS ...

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Showing results 1-20

Remote Python Data Engineer information

See Ontario salary details

$29K

$130.7K

$188.5K

How much do remote python data engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for remote python data engineer in Ontario is $130,727.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $156,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Python Data Engineer, and why are they important?

To thrive as a Remote Python Data Engineer, you need strong proficiency in Python, data modeling, and ETL pipeline development, typically backed by a degree in computer science or a related field. Familiarity with tools like Apache Airflow, SQL databases, cloud platforms (such as AWS or GCP), and certifications in data engineering are highly valuable. Excellent problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These skills ensure efficient data processing, seamless teamwork across distributed environments, and the reliable delivery of scalable data solutions.

How do Remote Python Data Engineers typically collaborate with distributed teams to ensure smooth project delivery?

Remote Python Data Engineers work closely with cross-functional teams, including data scientists, analysts, and DevOps engineers, often using collaboration tools like Slack, Jira, and GitHub to coordinate work. Regular virtual meetings, clear documentation, and code reviews are essential for maintaining alignment and ensuring code quality. Emphasis is placed on asynchronous communication and well-structured version control practices to overcome time zone differences and keep projects on track. Adapting to these remote workflows is key for successful project delivery in a distributed environment.

What is a Remote Python Data Engineer?

A Remote Python Data Engineer is a professional who specializes in designing, building, and maintaining data pipelines and architectures, primarily using Python, while working from a location outside of a traditional office setting. They are responsible for collecting, transforming, and storing vast amounts of data to support analytics and business intelligence tasks. Their role often involves working with cloud platforms, databases, and big data technologies to ensure efficient data processing and accessibility for other teams. Remote Python Data Engineers collaborate with data scientists, analysts, and developers, leveraging Python's extensive libraries to automate workflows and solve complex data challenges.

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

AspectRemote Python Data EngineerRemote Data Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in CS, Statistics, Data Science certifications
Work EnvironmentData pipelines, ETL processes, cloud platformsData analysis, modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, marketing agencies
Common Search & ComparisonYesYes

Remote Python Data Engineers focus on building and maintaining data pipelines and infrastructure using Python, while Remote Data Scientists analyze data, develop models, and generate insights. Both roles often collaborate but serve different functions within data teams.

Data Engineer

Inizio Partners

Toronto, ON โ€ข Remote

Full-time

Posted 25 days ago


Job description

Job Title: Consultant Data Engineer

Location: Remote

Job Summary:

We're looking for a Senior Data Engineer with strong data platform experience to help with support of existing AWS/dbt platform and that can help with standing up our new GCP platform, working with data engineer.

Duties/Responsibilities:

  • Design, build, and maintain scalable systems for ingestion, transformation, and storage of data, with a focus on testing and observability
  • Implement frameworks, tooling, and automation to safely increase development velocity
  • Develop data pipelines, optimize pipelines, SQL or other data workflows from (1) source ingestion and preparation, (2) training and tuning and (3) downstream systems integration (EHR modules, micro-services, dashboards)

Required Skills:

  • Proficiency in SQL and Python with strong familiarity towards modern data engineering frameworks, infrastructure, and tooling
  • Knowledge of dbt, PySpark, Glue , Terraform to support current infrastructure on AWS
  • Great to have experience setting up GCP infra : Iceberg, Dataplex, Terraform to help with initial steps of GCP migration project.
  • A collaborative mindset, dependable execution, drive to reflect and improve, and humility to ask questions and learn.

Education & Experience

  • Bachelor's degree (or equivalent) in Computer Science, Data Science, Statistics, Engineering or a related field
  • 5+ years of experience in data engineering, platform engineering, or ML engineering
  • Experience working with major cloud data platforms and tools:
  • Preferred experience:
  • Healthcare, behavioral health, EHR systems, and/or regulated industries
  • Specific expertise with: AWS/GCP, dbt, Airflow, Airbyte, Redshift/BigQuery