2

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

Data Engineer

Montreal, QC · On-site +1

CA$80 - CA$85/hr

Montreal area, but can be remote Duration: 6 months initially until fiscal year end, then 6-12 month extension Rate: $80-85/hr C2C Position Overview Our client is looking for a Data Engineer to join ...

Having recognized the advantages of remote work, including employee morale, productivity, reduced ... Data Platform Engineer (DevOps) to join our TecsysIQ Data & AI team. This is a hybrid role that ...

The Role We're hiring our Senior Data Engineer (Data / ML Platform) to stand up data engineering as ... Remote work environment with frequent in-person gatherings and activities. * Career development ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

As a Senior Data Transfer Developer, you will design, build, and evolve robust data transfer ... Remote work and flexibility (supporting work-life balance) * RRSP contribution * Healthcare ...

Senior Database Developer

Montreal, QC · Remote

$95K - $110K/yr

We are looking for an experienced Data Developer for our client. This is a permanent position, remote! Our client is a large fintech firm with a product that you've likely used many times before. You ...

Senior Database Developer

Montreal, QC · Remote

$95K - $110K/yr

We are looking for an experienced Data Developer for our client. This is a permanent position, remote! Our client is a large fintech firm with a product that you've likely used many times before. You ...

We offer a range of benefits, including Flexible working hours, including remote work for a ... HOW YOU'LL MAKE A POSITIVE IMPACT As part of the Data Science Development team, you will contribute ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

... product designers, developers and manufacturers to help them achieve higher product quality ... Remote work model #LI-REMOTE * Competitive benefits package and competitive total compensation * An ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

next page

Showing results 1-20

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 20, 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.

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 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:

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.

Data Engineer

Tech Talent International

Montreal, QC • On-site, Remote

CA$80 - CA$85/hr

Full-time

Re-posted 5 days ago


Job description

Tech Talent International (SI) supplies technical talent to a variety of clients ranging from Fortune 100/500/1000 companies to small and mid-sized organizations in Canada/US and Europe.

We currently have a role as a Data Engineer with our large consulting client on a long term project with a major manufacturing client in the Montreal area.

Role: Data Engineer

Type: Contract 37.5 hrs/week

Location: Montreal area, but can be remote

Duration: 6 months initially until fiscal year end, then 6-12 month extension

Rate: $80-85/hr C2C

Position Overview

Our client is looking for a Data Engineer to join our team and bring the analytics practice to the next level. They are looking for a motivated person who thrives in a dynamic and challenging environment, who loves working with tools on the edge, who has no problem switching between multiple programming languages, and who is able to find out-of-the-box solutions to solve complex problems.

In this role, you will be at the heart of the definition and implementation of world-class analytics solutions, and you will contribute to set data as a strategic advantage for the manufacturing client.

Responsibilities

Design, develop, implement and support robust ETL/ELT/Data Pipelining solutions

Coordinate with multiple development teams to achieve delivery objectives

Provide support in requirements definition, estimation, development and delivery of robust and scalable solutions

Development and support of real-time data ingestion processes from various data sources

Development and support of data models optimized for business intelligence usage

Build integrations with APIs from external providers such as Google, Facebook, Salesforce, SAP and others

Adhering to industry standards and laws such as GDPR and SOX

Be a leader in best-practices definition and creative thinking

Required Skills

Master Degree in Computer Science, Business Intelligence or equivalent

Solid and demonstrated experience on following technologies:

Snowflake

DBT

Microsoft SQL Server

Power BI

Git

Fluent in various programming languages such as:

SQL

Python

Understands and puts into practice data modeling, design and development of solid ETL/ELT data pipelines

Fluent in writing, executing and optimizing complex SQL queries

Experience implementing API Service architectures ( REST)

Develop clean and maintainable code in a CI-CD Environment

Experience in using cloud BI technologies such as Azure or similar

Experience in translating business requirements into advanced data models able to fulfill analysts and data scientists requirements

Experience in data profiling

Experience in working within an agile team to build big data / analytics solutions

Strong interpersonal relations, motivated and loves to work on multiple challenging projects

Strong communication skills, both speaking or writing

Fluent in English. French or Portuguese is a great asset

Open-minded and able to adapt to new ways of working (data vault, event-driven architecture, unstructured data, self-service analytics, etc..)

Well organized and able to self-prioritize, sometimes with conflictual deadlines

Strong communication skills, both speaking or writing, ideally in both french and english

Continuously seeks for improvements and craves to put hands on new technologies