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Remote Data Engineer Jobs in Montreal, QC (NOW HIRING)

Disguise Technologies Ltd

Lead Engineer

Montreal, QC · Remote

Quebec, Canada (nearly remote) Please note that this role is available to Quebec residents only ... Coordinate with other developers, UX designers and data engineers to ensure successful delivery of ...

Targeted Talent

Senior QA Engineer

Montreal, QC · Remote

This is a permanent position that is completely remote! Our client is a fintech company based out ... You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ...

Targeted Talent

Senior QA Engineer

Montreal, QC · Remote

This is a permanent position that is completely remote! Our client is a fintech company based out ... You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ...

Velixo

ERP Data Analyst

Montreal, QC · Remote

Remote in Canada Reports to: Senior Director, Professional Services About Velixo Velixo is an award ... Bachelor degree in finance, accounting, computer science or engineering. * 5+ years of experience ...

New

DoiT

Senior Technical Content Writer

Montreal, QC · Remote

... data engineering, cloud infrastructure, or FinOps space carry the most weight.** * Location Our Senior Technical Content Writer - Data Platforms will join our global Marketing team. This remote role ...

Tucows Inc.

Senior Backend Engineer

Montreal, QC · Remote

CA$145K - CA$155K/yr

It's also why the majority of our roles are remote-first, meaning you can work from anywhere you ... Design and maintain APIs, database schemas, integrations, and data contracts. * Improve system ...

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Showing results 21-40

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Montreal, QC

Remote Data Engineer information

See Montreal, QC salary details

$68.3K

$127K

$161.5K

How much do remote data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote data engineer in Montreal, QC is $126,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,684.00 and $144,591.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Montreal, QC?

The most popular types of Data Engineer jobs in Montreal, QC are:

What are popular job titles related to Remote Data Engineer jobs in Montreal, QC?

For Remote Data Engineer jobs in Montreal, QC, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in Montreal, QC look for?

The top searched job categories for Remote Data Engineer jobs in Montreal, QC are:

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Montreal, QC as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $126,959 per year, or $61 per hour.

Analytics Engineer, Enterprise Data

Sangoma

Montreal, QC • Remote

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 2 days ago

Job description

Analytics Engineer, Enterprise Data

See It. Build It. Own it.

Sangoma is a global leader in business communications, delivering cloud-based solutions that help organizations connect, collaborate, and engage with their customers. Our portfolio includes Unified Communications (UCaaS), Contact Center (CCaaS), VoIP, SIP Trunking, Managed Connectivity, and Customer Experience solutions serving businesses worldwide.

Data is becoming one of Sangoma's most strategic assets — and how leaders see that data is what turns it into decisions. As we modernize our enterprise platform, you will own the analytics and visualization layer that puts trusted, timely insight in front of executives and business teams across the company. We're assembling a small, high-caliber team to build an enterprise decision-intelligence capability from the ground up. This is a greenfield opportunity to define how Sangoma sees and acts on its data. You won't inherit a wall of legacy dashboards. You'll design the ones that leaders actually use. Working across Finance, Operations, Product, and Engineering, you'll turn complex data into clear, reliable analytics that the business trusts — building both the datasets underneath and the dashboards on top.

You'll make an impact by:

  • Designing and building executive and operational dashboards that leaders rely on to make decisions daily.
  • Building and shaping the analytics datasets behind those dashboards — writing the SQL, modeling the data, and preparing it so every view is fast, accurate, and consistent.
  • Turning complex, cross-functional data into clear, intuitive, trustworthy visual analytics.
  • Partnering with executives and business teams to understand the real questions behind their requests and deliver views that answer them.
  • Establishing standards for dashboard design, data modeling, storytelling, and self-service analytics across the company.
  • Ensuring the numbers behind every view are accurate, governed, and consistent — one source of truth, visualized.
  • Helping shape how Sangoma delivers analytics as the enterprise data platform matures.

Requirements

Your Background:
You are a visualization and analytics specialist who loves turning messy, complex data into dashboards people actually use — and you build the data layer that feeds them yourself. You care as much about clarity and how a decision-maker consumes information as about the accuracy of the data underneath. You're comfortable working directly with business and executive stakeholders to find the real question and build the view that answers it.

You bring experience with:

  • Tableau — advanced dashboard design, performance optimization, and best practices (required)
  • Strong SQL — writing complex queries to shape, transform, and validate data for analytics (required)
  • Data modeling for analytics — star schemas and well-structured, performant reporting datasets (required)
  • Python — for data preparation, transformation, and automating recurring analytics work
  • Translating business questions into clear, self-service dashboards
  • A strong eye for visual design, data storytelling, and executive-ready presentation
  • Attention to data accuracy, consistency, and governance in reporting

Experience in one or more of the following is a plus:

  • Cloud data warehouses such as Snowflake, Redshift, or equivalent
  • ERP and CRM platforms such as NetSuite and Salesforce
  • Working with modern data platforms / lakehouse environments
  • dbt or similar transformation and orchestration tools

Benefits

What We Offer:

    • Extended Healthcare Plan (Medical, Disability, Dental & Vision)
    • RPP - Group RRSP
    • Group Life - AD&D - Critical Illness Insurance
    • Paid Time Off Benefits
    • Work From Home - Flexible hours
    • Entrepreneurial work environment partnered with high growth career opportunities.

Are you ready to make a direct impact on the company and be rewarded for your performance? Are you ready to take on a new challenge?

Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities.