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Data Engineer Jobs in British Columbia (NOW HIRING)

About the Opportunity We are looking for a Staff Data Engineer who serves as the universal data architect for our platform. In this role, you will bridge the gap between application engineering and ...

About the Opportunity We are looking for a Staff Data Engineer who serves as the universal data architect for our platform. In this role, you will bridge the gap between application engineering and ...

The Lead Data Engineer provides technical leadership for the design, development, and evolution of enterprise data architecture and data engineering practices. This is a hands-on lead role that ...

The Lead Data Engineer provides technical leadership for the design, development, and evolution of enterprise data architecture and data engineering practices. This is a hands-on lead role that ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

Junior Data Engineer

Victoria, BC ยท On-site

CA$70K - CA$85K/yr

Assemble large, complex data sets that meet business requirements, with engineering best practices in mind. * Build scalable and resilient data infrastructure, as well as tools to extract and ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

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Data Engineer information

See British Columbia salary details

$60K

$122.6K

$181K

How much do data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data engineer in British Columbia is $122,622.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $142,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
What are the most commonly searched types of Data Engineer jobs in British Columbia? The most popular types of Data Engineer jobs in British Columbia are:
What are popular job titles related to Data Engineer jobs in British Columbia? For Data Engineer jobs in British Columbia, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in British Columbia look for? The top searched job categories for Data Engineer jobs in British Columbia are:
What cities in British Columbia are hiring for Data Engineer jobs? Cities in British Columbia with the most Data Engineer job openings:
What are popular job titles related to Data Engineer jobs in BC? For Data Engineer jobs in BC, the most frequently searched job titles are:
Infographic showing various Data Engineer job openings in British Columbia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,622 per year, or $59 per hour.

Full-time

Posted 5 days ago


Job description

This is an Internal ICBC job posting for applicants within the bargaining unit. External applicants will not be considered.

We welcome applications from all qualified job seekers. Should you require any accommodations, including alternative interview formats, assistance with online assessments, or an ASL interpreter, throughout the application or hiring process, please email your request to accessibility_services@icbc.comย - we are committed to ensuring an accessible experience for all candidates.

At ICBC, we strive to build diverse teams which reflect the communities we serve. To support this, we've created two talent communities forย Indigenous Peoplesย andย People with Disabilities.ย  By joining one of these communities, you'll connect with our recruitment team who will guide you through the application process and help you explore opportunities at ICBC. Of course, you're welcome to apply for jobs at ICBC whether or not you join a talent community.

We look forward to hearing from you!

The Data Engineer - Junior will join the Data Services team in Data Management Dept. and focus on the MLOps development, deployment & sustainment of Machine Learning, Data Science, Performance and Evaluative analytics solutions, working closely with business partners and stakeholders to meet their decision-support requirements.

This role will work within the IM Data Services team to support ICBC Data Science, Statistical Analysis & Machine Learning operations and equip the business to make data-driven decisions. The team uses Python, PySpark, Core Spark and SQL to perform Data Preparation & curations to support ML Models and Tableau to create self-service dashboards. The team uses the latest AI & Machine Learning Operations technologies to support these solutions and services.

As the Data Engineer - Junior, you will be responsible for:
ย  ย Understanding Data Science, Machine Learning, Performance & Evaluative Analytics model requirements, working closely with Data Scientists & Statistical Analysts, supporting them with their data and Machine Learning operational needs.
ย  ย Operationalizing Data Science Model into Machine Learning pipelines, applying coding optimization of the data science models, conducting model training and re-training, deploying the models and sustaining them in Production.
ย  ย Responding to data requests, data discovery and data profiling to support various data science, evaluative and machine learning solutions and projects, reviewing and clarifying data requirements, ensuring the data artifacts are acceptable within policy and privacy protocols.
ย  ย Providing subject matter & data expertise to the Strategic Analytics, Actuarial and Regulatory Affairs departs as well as ICBC divisional clients on data sources, reporting workflows, business process, and the appropriate tools with which to analyze their data.
ย  ย Participating with corporate data user teams, developing data science model validation and test plans, performing user acceptance testing, and providing support to data scientists, evaluative & performance metrics analysts and sustainment of their end products.
ย  ย Conducting analysis for moderate to complex strategic solutions and POCs, defining data fields and determining data availability, developing information layout, format and interactivity. Presenting findings and providing clarification.

Position Requirements:
To make an immediate contribution, the Data Engineer - Junior must bring the following:
ย  ย Proven work-based experience coding using Python Language and PySpark data framework will be required.ย 
ย  ย Experience working with ML libraries & frameworks including Scikit-Learn for traditional ML, TensorFlow and PyTorch for deep learning.
ย  ย Proficiency in Data Science Stack such as NumPy, PySpark and Pandas for data manipulation.
ย  ย Technical knowledge in cleaning, transforming and preparing un-curated data including handling of values and feature scaling.
ย  ย Exposure to Machine Learning Operations (MLOps) supporting Model development, skills with Docker for containerization, API development and using cloud platforms.
ย  ย Knowledge & experience with Machine Learning Algorithms and techniques
ย  ย Experience or exposure to working with pre-trained models such as Large Language Models (LLM), using Retrieval-Augmented Generation (RAG) and working with pre-trained Frontier & Commodity ML models
ย  ย Experience with processing structured and unstructured data.
ย  ย Intermediate to Advance experience of writing complex SQL Queries & working with NoSQL Databases
ย  ย Knowledge of experiment tracking & Management using tools like MLFlow, Data Version Control (DVC), managing model versions, parameters and results.
ย  ย Pipeline orchestration using Apache AirFlow to automate training, testing and deployment workflows.
ย  ย Setting up automated pipelines for Continuous integration and continuous deployment (CI/CD) using GitLab.
ย  ย Excellent interpersonal, verbal and written communication skills to work with customers.
ย  ย Strong data quality management process understanding, data analysis and data profiling.
ย  ย Ability to apply critical thinking skills to troubleshoot and perform root cause analysis on technical problems and Machine Learning model deployments.
ย  ย Understanding of Agile Methodologies.
ย  ย Experience with reporting and visualization tools, such as Tableau, Jupiter or other reporting tools would be an asset.

About us:ย 

At ICBC, it's our job to make sure the car insurance system works for all British Columbians, today and in the future. Checkย out ourย ICBC Year in Review 2025ย ย to learn more about what we've accomplished! If you want to make the most of your skills and expertise while growing your career, we want you. A career at ICBC is an opportunity to be part of a talented, diverse and inclusive team that is driven to serve its customers and community. You can expect a competitive salary, comprehensive benefits and a collaborative work environment. If you are reliable and dependable, contact us today to be part of our talented and diverse team as we work together to create an insurance system we can all be proud of.

ย Our values guide how we interact with customers, partners, and each other. They shape our decisions and create a culture where employees feel inspired and empowered to do their best work.

  • Collaborative: We include different perspectives to reach our common goals.
  • Supportive: We seek to understand to meet diverse and evolving needs.
  • Straightforward: We simplify the complex to make things easier.
  • Knowledgeable: We gain knowledge through experience and learning to make informed decisions.

Work arrangements defined:ย 

  • Hybrid 8 - you will work a minimum of 8 days in a 4-week period at your primary office headquarters (typically 2 days per week). The remaining days will be remote within British Columbia.ย  Please note there are updates to the hybrid model, starting September. This role will be moving to 2 days per week in office.

Only candidates legally entitled to work in Canada will be considered for this position.

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