Data engineer jobs in Port Moody, BC and nearby

Within 25 km

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Added 2 months ago
Senior Data Engineer - Vancouver
Capgemini
Vancouver, BC
We are seeking a highly experienced Senior Data Engineering Lead with 8+ years of experience in modern data engineering, data warehousing, and data lake technologies across cloud platforms,…
Added 2 months ago
Sr. Data Engineer, WW Pricing Data and Insights
Amazon
Vancouver, BC
As a Senior Data Engineer, you will be a technical lead on the team, leading designs and mentoring engineerings on the team. you will create data models and ML data infrastructure that…
Added 3 months ago
Intermediate Data Engineer
Northland Properties
Vancouver, BC
We're looking for a Data Engineer to design and build the pipelines and data architecture that power analytics, reporting, and governance across the business. You'll spend most of your time…
Added 2 months ago
A
Digital - Senior Data Engineer/Data Engineer, Digital Technology
Aritzia
Vancouver, BC
- $100,000 to $300,000 CAD / year
- Full-time
…exceed the vision and mission of the business. As the Senior Data Engineer / Data Engineer, you will bridge data modeling and analytics to transform raw data into high-quality, reliable…
Added 3 months ago
Data Engineer II, Alexa Audio
Amazon
Vancouver, BC
Join our Alexa Audio Data and Insights team as a Data Engineer, and lead futuristic big data initiatives that will shape the next generation of intelligent, conversational experiences. In…
Added 4 months ago
Data Engineer I, Amazon Business Ops Analytics
Amazon
Vancouver, BC
- Design and develop the data architecture, data standards, and end to end scalable data applications and data pipelines.
Added 3 months ago
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Senior Data Engineer
APPLY
Vancouver, BC
- Full-time
GCP certified (Associate Cloud Engineer or Professional Data Engineer).
Added 2 months ago
Lead Data Engineer
Ipsos
Vancouver, BC
…organization for four consecutive years. With over 75 different data-driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and…
Added 4 months ago
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Senior Data Engineer
iQmetrix
Vancouver, BC
- $110,000 CAD / year
- Full-time
The Senior Data Engineer will design, build, and improve the data platform capabilities that power analytics, embedded reporting, operational data products, and AI-ready datasets.

No more jobs.

APPLY

Senior Data Engineer

Toronto, ON, Canada
Vancouver, BC, Canada

Full-time

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Job details

Job type: Full-time
Experience: 5+ years of experience in data engineering, building modern cloud-based data platforms.
Posting language: English
Posted: Jul 31, 2026

Original job description

ABOUT APPLY

APPLY is the Agentic Customer Experience (ACx) partner for the world's most ambitious consumer and entertainment brands. We bring together deep domain expertise across Retail, CPG, Sports, and Media with AI-native delivery capability, designing and delivering agentic solutions that turn CX vision into commercial reality. We are the partner of choice for brands like Arc'teryx, NFL, Lululemon, and Kraft Heinz. For more information, visit applydigital.com.

LOCATION: APPLY is hybrid/remote friendly. The preferred candidate should be based in either the Greater Toronto Area or the Greater Vancouver Area of Canada, working in hours that align to ET (Eastern Timezone) or PT (Pacific Timezone).

THE ROLE:

\nRESPONSIBILITIES:

Design, build, and maintain scalable data pipelines and architectures to support analytical and operational workloads.
Develop and optimize ETL/ELT pipelines, ensuring efficient data extraction, transformation, and loading from various sources.
Work closely with backend and platform engineers to integrate data pipelines into cloud-native applications.
Manage and optimize cloud data warehouses, primarily BigQuery, ensuring performance, scalability, and cost efficiency.
Implement data governance, security, and privacy best practices, ensuring compliance with company policies and regulations.
Collaborate with analytics teams to define data models and enable self-service reporting and BI capabilities.
Develop and maintain data documentation, including data dictionaries, lineage tracking, and metadata management.
Monitor, troubleshoot, and optimize data pipelines, ensuring high availability and reliability.
Stay up to date with emerging data engineering technologies and best practices, continuously improving our data infrastructure.

REQUIREMENTS:

Certified SnowPro.
Experience collaborating with distributed teams across North America and Latin America.
5+ years of experience in data engineering, building modern cloud-based data platforms.
Strong hands-on experience with Snowflake, including performance tuning, security, and data modeling.
Advanced SQL skills for analytics engineering and data transformation.
Proficiency in Python for data processing, automation, and orchestration.
Experience with dbt or similar analytics engineering frameworks.
Familiarity with orchestration tools such as Dagster or Apache Airflow.
Experience working with clickstream and event data - ingestion, modeling, and real-time or near-real-time processing at scale.
Experience enabling or supporting machine learning, feature engineering, or AI-driven use cases on top of data platforms.
GCP certified (Associate Cloud Engineer or Professional Data Engineer).
Solid understanding of data privacy, governance, and compliance best practices.
Strong problem-solving skills and a pragmatic, delivery-oriented mindset.
Strong problem-solving skills, with the ability to debug and optimize complex data workflows.
Excellent English communication and collaboration skills.

NICE TO HAVES:

Experience with Snowflake Cortex, Snowpark, or ML workflows integrated with Snowflake.
Familiarity with GenAI or LLM-enabled analytics use cases (e.g., semantic layers, AI-assisted insights, decisioning).
Experience with Databricks or hybrid Snowflake + Databricks architectures.
Exposure to real-time or near-real-time data pipelines.
Experience with BI tools (e.g., Looker, Tableau, Power BI).
Infrastructure as Code experience (e.g., Terraform) in data environments.
Familiarity with CDPs, marketing platforms, and digital experience ecosystems (e.g., Segment, Contentful, personalization tools).

$110,000 - $140,000 a year

The salary range for this role is $110,000 - $140,000 CAD per year. We conduct regular benchmarking across various roles, similar industries, and levels to ensure fair compensation packages for all. We are committed to acknowledging each individual's unique strengths and contributions while rewarding the value that they deliver to the team.

LIFE AT APPLY

People are at the core of everything we do at APPLY. We provide you with modern tools, systems and approaches, value your time, safety, and health, and strive to build a work community where you can thrive and grow. Here are a few benefits we offer to support you:

Agentic Delivery: Our people work in a modern way to deliver client outcomes. Broaden your skills on a range of engagements with international brands that have a global impact.

An inclusive and safe environment: We’re truly committed to building a culture where you are celebrated and everyone feels welcome and safe.

AI & Strategic Upskilling: Accelerate your professional growth with generous training budgets and mentorship, with a specific focus on Agentic AI expertise and the critical human skills required for the future of work.

Generous vacation policy: Work-life balance is key to our team’s success, so we offer flexible personal time off (PTO); allowing ample time away from work to promote overall well-being.

Customizable benefits: Tailor your extended health and dental plan to your needs, priorities, and preferences.

Flexible work arrangements: We work in a variety of ways, from remote, to in-office, to a blend of both.

APPLY is a safe, respectful, and inclusive community where differences are celebrated. We are committed to equal opportunity and fostering a workplace where everyone belongs. Learn more in our Diversity, Equity, and Inclusion (DEI) section. For recruitment accommodations, please email careers@applydigital.com.

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More about this job

Responsibilities

Design, build, and maintain scalable data pipelines and architectures to support analytical and operational workloads. Collaborate with cross-functional teams to integrate data pipelines into cloud-native applications and ensure data governance and security compliance.

Requirements

Requires 5+ years of experience in data engineering with strong hands-on expertise in Snowflake and advanced SQL skills. Candidates must hold a SnowPro certification and possess proficiency in Python, dbt, and cloud-based data platform orchestration.

Skills

Snowflake
Data engineering
SQL
Python
ETL/ELT
Data modeling
Cloud data warehouses
BigQuery
dbt
Dagster
Apache Airflow
Data governance
Machine learning
Feature engineering
Performance tuning

Benefits

Agentic delivery
Inclusive and safe environment
AI & strategic upskilling
Generous vacation policy
Customizable benefits
Flexible work arrangements

Visa sponsorship

Not detected in the job text

Keywords

Snowflake
Data Engineering
BigQuery
ETL
ELT
Python
SQL
dbt
Dagster
Apache Airflow
SnowPro
Data Governance
Cloud Computing
Data Modeling
Machine Learning
Feature Engineering
AI
Data Pipelines
Metadata Management
Lineage Tracking
Performance Tuning
Data Warehousing
Analytics Engineering
BI
Cloud-native

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Data engineer jobs in Port Moody, BC and nearby