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Startup Data Engineer Jobs in Quebec (NOW HIRING)

About the job Do you think like a management consultant, thrive in a startup environment, and can't ... Programming: Jupyter, VS code, Github * Programming languages: Python, R, SQL * Tool * * Cloud ...

Data Analyst Location: Sherbrooke Employment Type: Full-Time (40 hours) Department ... Operations - Engineering - Algorithms About Us SBQuantum is a seed-stage startup at the forefront ...

Why Join Us We're a fast-growing deeptech startup building multiple bricks for the future of ... engineers, and platform specialists to align compensation outputs with navigation requirements ...

We are a fast-moving, early-stage startup with offices in Montreal and Boston. This position is ... Run fluids through devices to verify cartridge integrity and collect test data * Document, analyze ...

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We are a fast-moving, early-stage startup with offices in Montreal and Boston. This position is ... Run fluids through devices to verify cartridge integrity and collect test data * Document, analyze ...

Sherbrooke / Boston / Montreal / Ottawa Employment Type: Full-Time in a fast-growing startup About ... data into actionable, high-value insights. Our solutions enable accurate magnetic mapping ...

Collaborate with passionate experts across physics, data science, and engineering. * Contribute directly to solving real-world challenges in public safety and aerospace. * Work in a dynamic startup ...

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Collaborate with passionate experts across physics, data science, and engineering. * Contribute directly to solving real-world challenges in public safety and aerospace. * Work in a dynamic startup ...

Translate architecture into staffed delivery with each engineering team; collaborate with clinical ... Early-stage / scaling startup background, comfort with ambiguity and the ability to make calls ...

Collaborate with passionate experts across physics, data science, and engineering. * Contribute directly to solving real-world challenges in public safety and aerospace. * Work in a dynamic startup ...

About BusPas BusPasis an innovative startup revolutionizing urban mobility by transforming everyday ... data platforms, andMaaS (Mobility as a Service)tools. * Collaborate closely with engineering ...

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About BusPas BusPasis an innovative startup revolutionizing urban mobility by transforming everyday ... data platforms, andMaaS (Mobility as a Service)tools. * Collaborate closely with engineering ...

... programming skills and deep Computer Science fundamentals. Experience working with large-scale data ... A track record of building and scaling products, startup experience is a major plus. Ability to ...

At exagens, we're using cutting-edge technology, data analysis, behavioral theory and more to ... Familiarity with developer communities or startup hiring best practices * HR policies & procedures ...

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... startup" environment, focusing on solving the hardest technical problems in enterprise AI ... Proficiency with backend data technologies like MySQL and Redis . * AI Application Expertise:

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Startup Data Engineer information

See Quebec salary details

$24.5K

$113K

$189.5K

How much do startup data engineer jobs pay per year?

As of Jul 3, 2026, the average yearly pay for startup data engineer in Quebec is $112,966.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $145,000.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.

What are the typical challenges faced by a Startup Data Engineer, and how is the work environment different from larger companies?

As a Startup Data Engineer, you may encounter unique challenges such as building data systems from scratch, managing ambiguous requirements, and wearing multiple hats due to smaller team sizes. The work environment is often fast-paced and dynamic, with frequent changes in project priorities and high expectations for proactive problem-solving. You’ll likely collaborate closely with engineers, analysts, and founders, gaining hands-on experience with the entire data pipeline and direct influence on core business decisions. This setting offers excellent opportunities for rapid skill growth, creativity, and career advancement, but requires comfort with ambiguity and a strong sense of ownership.

What engineers make $300,000 a year?

Senior data engineers, especially those working at large tech companies or in specialized industries, can earn $300,000 or more annually. High salaries often require extensive experience, advanced skills in cloud platforms, data architecture, and programming, as well as a strong track record of managing complex data systems.

Do startups hire data engineers?

Yes, startups often hire data engineers to build and maintain data pipelines, manage large datasets, and support data-driven decision-making. These roles typically require skills in SQL, cloud platforms, and data processing tools like Apache Spark or Hadoop, and they are essential for startups aiming to leverage data for growth and innovation.

What engineer makes $500,000 a year?

A startup data engineer can earn $500,000 annually, especially at senior levels or in high-growth companies, often including bonuses and stock options. Achieving this salary typically requires extensive experience, advanced skills in data architecture, and a strong understanding of cloud platforms and big data tools.

What are the key skills and qualifications needed to thrive in the Startup Data Engineer position, and why are they important?

To thrive as a Startup Data Engineer, you need strong programming skills (especially in Python or Scala), experience with data modeling, ETL pipelines, and a solid understanding of database management. Proficiency with tools like SQL, cloud platforms (AWS, GCP, or Azure), and frameworks such as Apache Spark or Airflow is typically expected, while data engineering certifications are a plus. Adaptability, problem-solving skills, and the ability to communicate technical concepts to non-technical team members are crucial soft skills in this environment. These attributes are essential for efficiently building data infrastructure and collaborating with fast-moving startup teams to enable data-driven decision-making.

What is a Startup Data Engineer job?

A Startup Data Engineer is responsible for designing, building, and maintaining data infrastructure in an early-stage company. They work on developing ETL pipelines, managing databases, and ensuring data is accessible and reliable for analytics and machine learning. Unlike in larger companies, they often operate with limited resources, requiring them to balance scalability, cost-efficiency, and speed. They may also take on DevOps and software engineering tasks to support the startup’s evolving data needs. Adaptability and problem-solving skills are crucial in this role.

What are popular job titles related to Startup Data Engineer jobs in Quebec? For Startup Data Engineer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Startup Data Engineer jobs in Quebec look for? The top searched job categories for Startup Data Engineer jobs in Quebec are:
Sr Data Analyst

Other

Posted 14 days ago


Job description

About the job

Do you think like a management consultant, thrive in a startup environment, and can't stop thinking about the intersection of data, technology, and AI?

With over  2000 employees, offices on five continents, and world-class clients like Samsung, L'Oreal, and LVMH, Artefact is a consulting firm that transforms data into value and business impact. 

Who We Are

Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we're also growing in parallel.

We have 2000 employees across 34 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe.

Find out more at artefact.com.

What you will be doing 

As an Analyst with a background in marketing and media agency experience, you will play a pivotal role in the intersection of data analysis and business strategies. We are seeking a candidate who not only possesses advanced analytical skills but can also effectively engage with clients, ensuring that internal projects and client accounts are managed, aligned, and successfully executed.

Key tasks include: 

  • Conducting projects to accompany the transformation of your clients' businesses through the effective collection, processing, and visualization of data
  • Extract valuable insights from clients' marketing-related data sources to support informed decision-making.
  • Research and develop new technical approaches to address challenges efficiently in the marketing and media domain.
  • Create data visualization dashboards tailored to marketing decision-making while aligning with business requirements.
  • Actively contribute to the expertise and competencies of the Data & Analytics team and work closely with other divisions, including Media & Activation, Creation, Consulting, Data Science, and Data Engineering, to provide comprehensive services to clients.

What we are looking for 

We're looking for forward-thinkers and "quick studies" who are poised to make a significant impact, are ready to help our clients in their digital and data journeys, and will help to position Artefact at the forefront of innovation and disruption. As someone who will help build our U.S. office from the ground up, we need a data engineer who's naturally curious, independent, team-oriented, and eager to learn. We'll give you the tools and training to be successful, and you'll come armed with the following:

  • Undergraduate degree with strong academic performance
  • 2-5 years of full-time work experience in a data-driven working environment with experience or knowledge in:
    • Dashboarding: Tableau, Looker Studio, Power BI
    • Programming: Jupyter, VS code, Github
    • Programming languages: Python, R, SQL
    • Tool
    • Cloud databases
      • Amazon Redshift, Microsoft Azure, Google BigQuery, Salesforce (or other popular CRM tools)
  • Additionally, have knowledge in one or more of the following technologies:
    • You know how to connect to an API through the knowledge of the different authentication methods (OAuth, HTTP Basic, API key)
    • ETL tool (Airflow, Dataiku, Dataflow, Dataprep...) 
    • Web application (R-Shiny, Python Flask) that you have industrialized 
  • Have a strong business-orientation with great verbal and written communication skills; ability to represent Artefact in a client-facing capacity
  • Ability to engage with diverse team members; strong intercultural communication skills are a must
  • Advanced familiarity with Excel and PowerPoint
  • Experience using Google Suite a plus
  • Strong teaching orientation; demonstrated ability to mentor more junior members of the team

Why you should join us 

We are united by our values and strengthened by our hybrid expertise.

  • There is always a way: We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed.
  • Client trust is won on the field: Addressing client needs flows better hands on at their side.
  • If not used, it is useless: Our love for technology translates into a steep desire for adoption, true brilliance is about impact.
  • If not shared, our work is not done: Sharing knowledge is the best way to button up a mission, benefitting clients and colleagues.
  • We learn everyday: Tech is a land where everything move at the speed of light, you better be ready to challenge yourself.