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Added 7 mins ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
This is an excellent opportunity for a junior-to-mid-level Data Analyst with strong Power BI, SQL and Microsoft data technologies experience who enjoys turning data into meaningful…
Added 7 mins ago
AI
Senior AWS Data Engineer - 10+yrs
Apptoza Inc.
Toronto, ON
- Contract
We are seeking a Senior AWS Data Engineer with 10- 12+ years of hands-on experience designing, developing, and supporting enterprise-scale data platforms on AWS. The ideal candidate will be…
Added 7 mins ago
CL
Data Scientist
Charger Logistics Inc.
Brampton, ON
- Full-time
Design scalable analytical data models in BigQuery, AlloyDB PostgreSQL, and Snowflake; optimize SQL-based feature engineering, data partitioning, and clustering.
Added 1 hour ago
TC
ITSM Transition Anayst, Network Junior Engineer Jr
Tata Consultancy Services
Toronto, ON
- Full-time
TCS has been serving the Canadian marketplace for more than 35 years and today is the technology partner of choice for many of the country's leading organizations. As one of the largest IT…
Added 1 hour ago
OD
Data Engineer / BI Developer – GCP, dbt & Power BI
OSI Digital
Toronto, ON
- Full-time
We are looking for a Data Engineer / BI Developer with 2–4 years of experience in building cloud-based data pipelines, transformation frameworks, and analytical reporting solutions.
Added 1 hour ago
OD
Data Engineer / BI Developer – GCP, dbt & Power BI
OSI Digital
Vancouver, BC
- Full-time
We are looking for a Data Engineer / BI Developer with 2–4 years of experience in building cloud-based data pipelines, transformation frameworks, and analytical reporting solutions.
Added 1 hour ago
SA
Senior Data Engineer, NimbleRx
Swoop Airlines and Aviation
Toronto, ON
- $195,000 to $228,000 CAD / year
Deep Python (PySpark) and SQL fluency, including tuning Spark jobs at scale
Added 2 hours ago
RB
Lead Data Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Global Functions Technology (GFT) partners across RBC to deliver transformative platforms and solutions. In Anti-Money Laundering (AML), we are building a new Data Foundation Hub to ingest…
Added 2 hours ago
Business Intelligence Engineer, Forecasting & Labs Analytics
Amazon
Toronto, ON
We need a creative, smart and enthusiastic Business Intelligence Engineer. Your mission will be to improve forecast accuracy and enable partner teams and customers to optimize supply chain…
Added 3 hours ago
IF
Senior Data Developer
Intact FC
Montreal, QC
- Full-time
We are looking for a Senior Data Developer (Engineer) to help establish the data foundation for Contact Distributor, Intact’s new platform for broker and distributor master data. The…
Added 4 hours ago
OD
Data Engineer / BI Developer – GCP, dbt & Power BI
OSI Digital
Vancouver, BC
- $40,000 to $90,000 CAD / year
- Full-time
We are looking for a Data Engineer / BI Developer with 2–4 years of experience in building cloud-based data pipelines, transformation frameworks, and analytical reporting solutions.
Added 4 hours ago
OD
Data Engineer / BI Developer – GCP, dbt & Power BI
OSI Digital
Toronto, ON
- $40,000 to $90,000 CAD / year
- Full-time
We are looking for a Data Engineer / BI Developer with 2–4 years of experience in building cloud-based data pipelines, transformation frameworks, and analytical reporting solutions.
Added 4 hours ago
Data Science Engineer
National Research Council Canada
Ottawa, ON
We are looking for a Data Science Engineer to support our Digital Technologies research Centre (DT). The Data Science Engineer would be an employee who shares our core values of Integrity,…
Added 4 hours ago
RV
Radical Ventures: AI Product Engineer
Radical Ventures
Toronto, ON
- Full-time
Design and engineer robust backend systems, APIs, data pipelines, and integrations
Added 5 hours ago
CT
Middleware Engineer
Coelate Technologies
Montreal, QC
- $50 to $55 CAD / hour
- Contract
Expert level scripting skills using Python (mandatory) and Shell
Added 5 hours ago
SI
Python Developer
Siri InfoSolutions, Inc.
Toronto, ON
- Full-time
We are looking for skilled Python Backend Engineers to build and scale high-performance backend systems. The role will focus on API development, platform engineering, and system design…
Added 5 hours ago
R
Lead Data Engineer
RBC
Toronto, ON
- Full-time
Global Functions Technology (GFT) partners across RBC to deliver transformative platforms and solutions. In Anti-Money Laundering (AML), we are building a new Data Foundation Hub to ingest…
Added 5 hours ago
AT
Certified Sr. Snowflake Engineer
Arkhya Tech Inc.
Canada
- Full-time
Job Summary: We are seeking a skilled Sr. Snowflake Engineer to join our dynamic team. The Sr. Data Engineer will be responsible for designing, developing, and maintaining our data…
Added 6 hours ago
I
Lead Java Developer
Infoya
Toronto, ON
- $110,000 to $115,000 CAD / year
- Full-time
Demonstrated experience operating as a Lead Developer, Technical Lead, or senior engineer with ownership of design decisions and technical direction.
Added 6 hours ago
AT
Snowflake engineer
Arkhya Tech Inc.
Canada
- Full-time
Job Summary: We are seeking a skilled Sr. Snowflake Engineer to join our dynamic team. The Sr. Data Engineer will be responsible for designing, developing, and maintaining our data…
Added 6 hours ago
AI
AWS Data Engineer
Apptoza Inc.
Toronto, ON
- Contract
Seeking an experienced AWS Data Engineer to build and support scalable data pipelines and cloud data platforms for banking and financial services applications.
Added 6 hours ago
KG
Netezza- Platform Engineer
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
The ideal candidate will have strong expertise in designing, developing, and supporting scalable data pipelines and distributed systems, along with hands-on experience in Big Data ecosystem…
Added 7 hours ago
AI
Production Support Engineer
Aptino, Inc.
Toronto, ON
- $50 to $55 CAD / hour
- Contract
We are looking for an experienced Application/Production Support Engineer to support enterprise and Investment Banking applications, including Salesforce and other critical platforms.
Added 7 hours ago
AS
Lead Data Engineer
AgileGrid Solutions
Canada
- Full-time
Proficiency in SQL and Python for data processing, automation, and optimization.
Added 9 hours ago
H
Data Engineer
HelloFresh
Toronto, ON
- Full-time
Fluency in Python, SQL, dbt, and PySpark for building scalable data pipelines on modern cloud infrastructure.

National Research Council Canada

Data Science Engineer

Ottawa, ON, Canada

Apply About employer

Applications open in a new tab.

Job details

Apply by: Oct 20, 2026
Posting language: English
Posted: Oct 5, 2026

Original job description

Priority may be given to the following designated employment equity groups: women, Indigenous Peoples* (First Nations, Inuit and Métis), persons with disabilities and racialized persons*.

* The Employment Equity Act, which is under review, uses the terminology Aboriginal peoples and visible minorities.

Candidates are asked to self-declare when applying to this hiring process.

City: Ottawa

Organizational Unit: Digital Technologies

Classification: CS-3

Tenure: Term

Duration: 2 years

Language Requirements: English or French

Work arrangements:

Due to the nature of the work and operational requirements, this position may be eligible for a limited hybrid work arrangement (combination of working onsite and telework).

At the NRC, we recognize that Indigenous candidates may have important connections to their communities and you may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options, please contact the NRC Hiring team using the contact information below.

Discover the possible

Anything is possible at the NRC, named in 2026 one of Canada’s Top Employers for Young People, Top Employer in the National Capital Region and Forbes Canada’s Best Employers!

As Canada’s largest research and innovation organization, our world-renowned research pushes the boundaries of science and engineering to make the impossible, possible. Every day we explore new ideas through innovative research and help companies discover possibilities that impact Canada’s future and the world.

At the NRC, you’ll also discover new possibilities. Our supportive workplace fosters a culture of creativity, welcoming fresh perspectives and innovation at all levels. We value teamwork. You’ll collaborate across multiple fields and with the brightest minds to find creative solutions. Most importantly, you’ll discover what’s possible within you as you grow, make valuable contributions and progress in your professional journey. From ground-breaking discoveries to a life-changing career, discover your possible at the NRC.

The role

We are looking for a Data Science Engineer to support our Digital Technologies research Centre (DT). The Data Science Engineer would be an employee who shares our core values of Integrity, Excellence, Respect and Creativity.

Under the direction of the Team Leader, Data Analytics Centre, the incumbent will contribute to the provision of data analytics services to external clients and NRC.

The Data Science Engineer will work alongside our data scientists to support the development of custom machine learning models and other data products for clients. They have an understanding of data science workflows as well as technical expertise pertaining to solution architectures and data engineering that will support project development and delivery to clients. The roles and responsibilities of the incumbent Data Science Engineer may include:

Collaborate with data scientists, AI researchers, and client stakeholders to define technical strategies and implementation plans to address client business challenges.
Develop scalable, secure, and maintainable solution architectures that enable clients to adopt, test, and operationalize AI and data-driven technologies.
Build and maintain data ingestion, transformation, storage, and access layers to support machine learning, analytics, visualization, and decision-support applications.
Package AI and data science prototypes into usable client-facing solutions, including web applications, dashboards, APIs, containers, documentation, and deployment-ready components.
Lead the development of key technical components within multidisciplinary projects, ensuring alignment with project objectives, client requirements, security expectations, and operational constraints.
Troubleshoot and resolve technical issues related to data pipelines, application components, integrations, infrastructure, and deployment environments.
Evaluate emerging tools, frameworks, and architectural patterns in data engineering, AI enablement, and data science platforms, and advise project teams on their practical use.
Communicate technical concepts, architecture decisions, risks, and trade-offs clearly to both technical and non-technical stakeholders.
Produce technical documentation, architecture diagrams, deployment guides, data pipeline documentation, and user-oriented materials to support knowledge transfer to clients.
Help define reusable patterns, templates, tools, and platform components that improve the team’s ability to deliver AI and data science solutions efficiently.

Screening criteria

Applicants must demonstrate within the content of their application that they meet the following screening criteria in order to be given further consideration as candidates:

Education

A Master’s degree from a recognized university in Computer Science, Computer Engineering or closely related to science, technology, engineering, and mathematics (STEM) fields
A Bachelor’s degree in Computer Science, Computer Engineering or closely related STEM field with related work experience may be considered.

For information on certificates and diplomas issued abroad, please see Degree equivalency

Experience

Significant experience designing, developing, and maintaining data pipelines, including data ingestion, transformation, validation, storage, and/or access layers.
Significant experience developing backend systems, APIs, or services that support data-intensive applications, analytics platforms, or AI-enabled solutions.
Significant experience building client-facing solutions, such as web applications, dashboards, APIs, containers or analytical tools.
Experience working in a multidisciplinary team involving data scientists and supporting their work

Assets:

Experience with cloud platforms such as Azure, AWS, or Google Cloud.
Experience working directly with government, public sector, industrial, or enterprise clients

Condition of employment

Reliability Status

For a Reliability Status, verification of background information over a period of 5 years is required.

Language requirements

English or French

Information on language requirements and self-assessment tests

Assessment criteria

Candidates will be assessed on the basis of the following criteria:

Technical competencies

Strong knowledge of data structures including retrieval of data from relational (SQL) and non relational databases.
Proficiency in using Generative AI at work.
Proficiency in Python or R.
Knowledge of mathematics and statistics

Behavioural competencies

Research Technician/Technologist - Communication (Level 3)
Research Technician/Technologist - Client focus (Level 3)
Research Technician/Technologist - Teamwork (Level 3)
Research Technician/Technologist - Creative thinking (Level 3)
Research Technician/Technologist - Results orientation (Level 3)

Competency Profile(s)

For this position, the NRC will evaluate candidates using the following competency profile(s): Research Technician/Technologist;

View all competency profiles

Compensation

From $103,911 to $130,061 per annum.

NRC employees enjoy a wide-range of competitive benefits including a robust pension plan, comprehensive health and dental coverage, disability and life insurance, office closure at the end of December, and additional supports to enhance your well-being throughout your career and beyond.

Notes

In 2026, the NRC was chosen as one of Canada’s Top Employers for Young People, a National Capital Region Top Employer and Forbes Canada’s Best Employer.
Relocation assistance will be determined in accordance with the NRC's directives.
A pre-qualified list may be established for similar positions for a one-year period.
Preference will be given to Canadian Citizens and Permanent Residents of Canada. Please include citizenship information in your application.
The incumbent must adhere to safe workplace practices at all times.
We thank all those who apply, however only those selected for further consideration will be contacted.

Please direct your questions, with the requisition number (26119) to:

E-mail: NRC.NRCHiring-EmbaucheCNRC.CNRC@nrc-cnrc.gc.ca

Telephone: 3439909603

Closing Date: 19 October 2026 - 23:59 Eastern Time

For more information on career tools and other resources, check out Career tools and resources

*If you are currently a term or continuing employee at NRC, please apply through the SuccessFactors Careers module from your NRC computer.

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More about this job

Responsibilities

The Data Science Engineer will collaborate with data scientists and stakeholders to develop scalable machine learning models and data-driven solution architectures. They are responsible for building data pipelines, packaging prototypes into client-facing applications, and troubleshooting technical issues across deployment environments.

Requirements

Candidates must hold a Master's degree in a STEM field, or a Bachelor's degree with significant relevant work experience. Applicants are required to demonstrate extensive experience in maintaining data pipelines, developing backend systems, and building client-facing analytical solutions.

Skills

Data science
Machine learning
Data engineering
Python
R
SQL
Solution architecture
Data pipelines
API development
Cloud platforms
Generative AI
Data visualization
Statistics
Mathematics
Technical documentation

Benefits

Pension plan
Health coverage
Dental coverage
Disability insurance
Life insurance
Office closure at the end of December

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Data Engineering
Python
R
SQL
Azure
AWS
Google Cloud
API
Containers
Data Pipelines
Generative AI
Solution Architecture
STEM
Data Analytics
Dashboarding
Reliability Status
Employment Equity
Research and Innovation

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