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Data Analytics Engineer Jobs in British Columbia

Remitly

Data Analyst II, Fraud

Burnaby, BC · Hybrid

CA$100K - CA$125K/yr

As a Data Analyst, Fraud, you will be part of Remitly's Identity & Trust Analytics Team. Your ... Experience with fraud or trust analytics. * Bachelor's degree in mathematics, engineering ...

HUB

Data Scientist

Victoria, BC

What You'll Bring to Our Team - * 5+ years of hands-on experience in data science, analytics engineering, advanced analytics, or a directly related applied technical role. * Bachelor's or Master ...

HUB

Data Scientist

Abbotsford, BC

What You'll Bring to Our Team - * 5+ years of hands-on experience in data science, analytics engineering, advanced analytics, or a directly related applied technical role. * Bachelor's or Master ...

HUB

Data Scientist

Castlegar, BC

What You'll Bring to Our Team - * 5+ years of hands-on experience in data science, analytics engineering, advanced analytics, or a directly related applied technical role. * Bachelor's or Master ...

HUB

Data Scientist

Prince George, BC

What You'll Bring to Our Team - * 5+ years of hands-on experience in data science, analytics engineering, advanced analytics, or a directly related applied technical role. * Bachelor's or Master ...

HUB

Data Scientist

Nelson, BC

What You'll Bring to Our Team - * 5+ years of hands-on experience in data science, analytics engineering, advanced analytics, or a directly related applied technical role. * Bachelor's or Master ...

HUB

Data Scientist

Chilliwack, BC

What You'll Bring to Our Team - * 5+ years of hands-on experience in data science, analytics engineering, advanced analytics, or a directly related applied technical role. * Bachelor's or Master ...

HUB

Data Scientist

Kelowna, BC

What You'll Bring to Our Team - * 5+ years of hands-on experience in data science, analytics engineering, advanced analytics, or a directly related applied technical role. * Bachelor's or Master ...

HUB

Data Scientist

Kamloops, BC

What You'll Bring to Our Team - * 5+ years of hands-on experience in data science, analytics engineering, advanced analytics, or a directly related applied technical role. * Bachelor's or Master ...

Gibraltar Mine

Data Scientist

Mcleese Lake, BC

CA$102K - CA$128K/yr

Conducting exploratory data analyses to discover opportunities for process improvements, feature engineering, new targets for optimization schemes, and validating data/model health. * Designing ...

Gibraltar Mine

Data Scientist

Mcleese Lake, BC

Conducting exploratory data analyses to discover opportunities for process improvements, feature engineering, new targets for optimization schemes, and validating data/model health. * Designing ...

Amazon

Data Scientist, ADE Analytics

Vancouver, BC · On-site

... engineering actions to identify patterns, insights, and understand root causes of anomalies Your ... data sources to leverage in analytical work - both from within Alexa and from cross Amazon ...

Tutela Technologies LTD

Data Engineer II

Victoria, BC

CA$80K - CA$100K/yr

Partner with Data Scientists, Product, and Analytics teams to turn ideas into production-ready data ... Champion engineering best practices, testing, CI/CD, and clean, maintainable code Why this role ...

Vancity

Data Engineering, Team Lead

Vancouver, BC · On-site

CA$113K - CA$153K/yr

Experience with big data and analytics programming languages such as Python, R, Spark in Databricks * Experience with batch and real-time processing frameworks (EventHub, Apache Spark, Apache Kafka ...

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Showing results 41-60

All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in British Columbia

Data Analytics Engineer information

See British Columbia salary details

$65.5K

$117.1K

$197.5K

How much do data analytics engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data analytics engineer in British Columbia is $117,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $132,000.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

What are popular job titles related to Data Analytics Engineer jobs in British Columbia?

For Data Analytics Engineer jobs in British Columbia, the most frequently searched job titles are:

What job categories do people searching Data Analytics Engineer jobs in British Columbia look for?

The top searched job categories for Data Analytics Engineer jobs in British Columbia are:

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in British Columbia as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $117,079 per year, or $56.3 per hour.

Data Analyst II, Fraud

Remitly

Burnaby, BC • Hybrid

CA$100K - CA$125K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 13 days ago

Job description

Job Description:

At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we've tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind.
Whether it's supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, we're not just here to move money- we're here to move our global customers forward.
We're looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation. If that's you and you're ready to do the most meaningful work of your career-we invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders

About the Role:

As a Data Analyst, Fraud, you will be part of Remitly's Identity & Trust Analytics Team. Your mission is to leverage analytical methods to identify, prevent, and mitigate fraud impacting our customers globally. You will develop a deep understanding of Remitly's fraud detection systems, regional risk profiles, and operational processes to improve fraud defenses while maintaining a seamless experience for legitimate customers. You'll partner with Product, Engineering, Business Management, and Compliance to customize and optimize fraud models and workflows, integrating data from legacy and new platforms. This hybrid role requires 2-3 days per week in the Vancouver office.

You Will:

  • Become an expert on Remitly's fraud data (e.g. chargebacks, promo abuse, scams, onboarding risk).
  • Build data-driven models and dashboards to analyze and monitor fraud exposure, balancing customer experience with operational efficiency.
  • Collect, normalize, and analyze data from legacy prebriefs, transaction logs, and onboarding systems to identify fraud trends and behavior anomalies.
  • Partner with Business Management and Product to continuously improve customer verification, KYC, KYB and compliance workflows.
  • Design and evaluate experiments and A/B tests to measure fraud control effectiveness and minimize false positives.
  • Develop and track risk metrics that quantify fraud exposure, policy compliance, and system performance.
  • Provide actionable insights and influence the development of fraud detection strategies, tools, and automation.

You Have:

  • 3+ years in an analytics or fraud/risk analysis role within fintech, e-commerce, or digital payments.
  • Experience with fraud or trust analytics.
  • Bachelor's degree in mathematics, engineering, economics, or another quantitative discipline (or equivalent experience).
  • Proficiency with SQL and hands-on experience analyzing large datasets (Python, R, or statistical modeling experience preferred).
  • Strong understanding of fraud taxonomies (chargebacks, identity theft, scams, onboarding risk, and promo abuse).
  • Demonstrated ability to distill business problems, develop hypotheses, perform analysis, and communicate clear recommendations.
  • Excellent data storytelling and communication skills; ability to translate complex findings into business decisions.

Compensation Details. The starting base salary range for this position is $100,000 - $125000. In Canada, Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role. #LI-Hybrid

Our Benefits

  • Four weeks vacation
  • Health Benefits
  • Mental Health & Family Forming Benefits
  • RRSP plan with company match
  • Employee Stock Purchase Plan (ESPP)
  • Life Insurance & Disability
  • Continuing education and travel benefits

Our Connected Work Culture: Driving Innovation, Together

At Remitly, we believe that true innovation sparks when we come together. Our Connected Work Culture fosters dynamic in-person collaboration, where ideas ignite and challenging problems find solutions faster.Under the Company's current hybrid-work expectations, employees in this position work onsite Tuesday through Thursday each week. Additional onsite attendance may be required based on business needs, and the Company may modify its hybrid-work expectations from time to time. These intentional in-office moments are vital for deepening relationships, fueling creativity, and ensuring your impact is felt where it matters most.

Remitly is an E-Verify Employer

At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations.

Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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