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Added 2 days ago
A
Associate Manager, Marketing Innovation (Bangkok-based, relocation provided)
Agoda
Vancouver, BC
- Full-time
…complex data sets using different techniques and tools such as SQL or…
Added 2 days ago
A
Associate Manager/ Manager - Flights Marketing (Bangkok-based, relocation provided)
Agoda
Vancouver, BC
- Full-time
…complex data sets using different techniques and tools such as SQL or…
Added 2 days ago
A
Marketing Data Analyst (Bangkok Based, Relocation provided)
Agoda
Vancouver, BC
- Full-time
Proficient in Excel and hands-on with data tools (SAS, R, SPSS, Python, VBA, SQL, Tableau)
Added 2 days ago
A
Associate Manager, Marketing Strategy (Bangkok Based, relocation provided)
Agoda
Vancouver, BC
- Full-time
Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL
Added 2 days ago
A
Analyst/ Senior Analyst, Pricing Marketing (Bangkok Based, relocation provided)
Agoda
Vancouver, BC
- Full-time
Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL
Added 2 days ago
A
Analyst/ Senior Analyst, Pricing Optimization (Bangkok Based, relocation provided)
Agoda
Vancouver, BC
- Full-time
Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL
Added 2 days ago
A
Marketing Analyst, New Verticals (Bangkok Based, relocation provided)
Agoda
Vancouver, BC
- Full-time
Exposure in quantitative analysis: Advanced Excel skills required, SQL and Tableau knowledge advantageous.
Added 2 days ago
A
Analyst, Performance Marketing (Bangkok Based, relocation provided)
Agoda
Vancouver, BC
- Full-time
Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL
Added 2 days ago
A
Analyst, Marketing Analytics and Strategy (Bangkok Based, relocation provided)
Agoda
Vancouver, BC
- Full-time
Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL
Added 2 days ago
A
Associate Analyst, Marketing (Bangkok Based, relocation provided)
Agoda
Vancouver, BC
- Full-time
Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL
Added 2 days ago
AG
Sr. Analyst, Growth & Innovation Operations
Altus Group
Toronto, ON
- Full-time
Added 2 days ago
P
Associate Data Engineer
Punt
Vancouver, BC
- Full-time
Above all, we value strong SQL fundamentals, working Python proficiency, and the instinct to double-check your output for correctness before someone else has to.
Added 2 days ago
TP
Senior Electrical Engineer A
Tetra Pak
Toronto, ON
- $110,800 to $158,200 CAD / year
- Full-time
Proficiency with PLC, HMI and SQL programming is plus.
Added 2 days ago
TP
Senior Automation Engineer A
Tetra Pak
Toronto, ON
- $110,800 to $158,200 CAD / year
- Full-time
Experience with Servers, Visual Basic, SQL databases, Virtual Machines & VMware preferred.
Added 2 days ago
T
Applied Machine Learning Scientist I
TD
Toronto, ON · Montreal, QC
- Full-time
Experience with SQL, Azure Cloud, Azure ML Services, or Databricks is an asset.
Added 2 days ago
C
Associate Consultant
Curinos
Toronto, ON
- Full-time
Solve complex business challenges through research, data analysis using Excel and SQL, and structured problem-solving
Added 2 days ago
AS
Business Data Analyst
Apex Systems
Toronto, ON
- $65 to $70 CAD / hour
- Contract
…cycles. This is a hands-on analytics role rather than a BI developer role, with data preparation done in SAS and SQL and Power BI used for visualization and storytelling with data. Strong…
Added 2 days ago
F
Sr. Specialist, Custom Client Analytics
Flywheel
Toronto, ON
- Full-time
Proficiency in data analysis and SQL for data manipulation along with a strong understanding of enterprise analytics tools.
Added 2 days ago
AF
Senior Analyst, Balance Sheet Strategy (12 Month Term)
ATB Financial
AB · Edmonton, AB
- Full-time
Complex Data Management: Extract, clean, and synthesize large, complex datasets from multiple internal and external sources using advanced SQL.
Added 2 days ago
Software Developer
DRW
Montreal, QC
We are looking for a passionate Software Developer to join our team. You will develop critical software that our traders, researchers and engineering teams use to implement and analyze our…
Added 2 days ago
CO
Data Analyst (ID: 56389)
City of Edmonton
Edmonton, AB
- Full-time
…PeopleSoft, Tririga, GPS software, Google AppSheets, Microsoft Excel, SQL Developer, Microsoft SQL Server, Visier, and Google Scripts) to collect, organize and blend…
Added 2 days ago
Audio Artist – EA SPORTS FC
Electronic Arts
Vancouver, BC
Proficiency with scripting languages (Python, SQL, VBA macros, JavaScript, Lua, etc.) to optimize and automate pipeline processes.
Added 2 days ago
AI
Data Business Analyst - PL/SQL, T-SQL & Data Warehousing
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Strong knowledge of SQL to perform data analysis and data profiling on different legacy systems.
Added 2 days ago
IS
Business Intelligence Specialist
Irving Shipbuilding
Dartmouth, NS
- Full-time
Strong understanding of data warehouse structures and proficiency in SQL for querying relational databases.
Added 2 days ago
PS
Senior Adobe Experience Platform (AEP) Technical Lead
Publicis Sapient
Toronto, ON
- Full-time
Experience with JavaScript or TypeScript, REST APIs, JSON, SQL, tag-management systems, browser developer tools, and cloud-based integration patterns.

Punt

Associate Data Engineer

Vancouver, BC, Canada

Full-time

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Job details

Job type: Full-time
Experience: Experience: 2 years of professional experience in data engineering, analytics engineering, or backend engineering (internships and co-ops included).
Posting language: English
Posted: Oct 30, 2026

Original job description

ABOUT THE COMPANY

Punt is a Vancouver-based, founder-led technology company behind two of the largest social casinos in North America. We’re evolving into a prediction-led super app - integrating prediction markets, social gaming, and new product surfaces into a single, cohesive experience. Our backend already operates at scale, processing high-volume, real-money transactions. We’re building toward a new category: the most advanced and engaging social gaming platform in the world.

ROLE OVERVIEW

We are seeking an Associate Data Engineer to design, build, and maintain the core data pipelines and analytics models that power our platform. Working alongside senior engineers, you will support our cloud data infrastructure by ingesting high-volume transactional datasets, writing production transformations, and ensuring data accuracy for business-critical applications.

We embrace modern engineering workflows, including AI-assisted development (e.g., Copilot, Cursor, LLMs). We are looking for early-career candidates who actively leverage AI tools to accelerate output, automate routine tasks, and learn faster - while maintaining the critical thinking required to review, debug, and take full ownership of the code they deploy.

Above all, we value strong SQL fundamentals, working Python proficiency, and the instinct to double-check your output for correctness before someone else has to.

RESPONSIBILITIES

Pipeline & Model Development: Build and maintain dbt models, write clean transformations, establish data testing suites, and adhere to established modeling conventions using modern, AI-assisted development tools.
Data Ingestion & Integration: Develop and operate robust extract/load (ELT) pipelines in Python to ingest data from relational databases, APIs, and event streams.
Platform Evolution & Support: Assist in maintaining and upgrading cloud data platform infrastructure, including data reconciliation, schema migrations, and metric validation across storage layers.
Data Quality & Monitoring: Implement freshness, volume, and anomaly checks to catch edge cases and prevent stale or corrupted data from reaching stakeholders.
Incident Response & Debugging: Investigate pipeline failures, analyze error logs, identify root causes, and ship fixes or provide detailed handoffs.
Cross-Functional Collaboration: Partner with analysts and product teams to translate ad-hoc data requests into scalable, reusable modeled datasets.
Modern Engineering Practices: Actively incorporate modern AI coding assistants into your daily workflow to write boilerplate code, draft documentation, and generate unit tests efficiently.

WHAT YOU BRING

Experience: 2 years of professional experience in data engineering, analytics engineering, or backend engineering (internships and co-ops included).
AI-Forward Mindset: Openness and enthusiasm for using AI development tools (e.g., GitHub Copilot, Claude, Cursor) to speed up execution, learn new technologies, and improve code quality.
SQL Proficiency: Strong knowledge of joins, aggregations, window functions, and query optimization logic.
Python Skills: Practical experience writing Python scripts for data manipulation, API integration, and automated task execution with proper error handling.
Data Modeling Fundamentals: Core understanding of analytical data modeling (dimensional modeling, grain, incremental loading vs. full reloads).
Engineering Best Practices: Familiarity with Git workflows (branches, pull requests, code reviews) and clear technical documentation.
Data Quality Instincts: A habits-first approach to validating query outputs and pipeline results prior to deployment.
Bachelor's degree in Computer Science, Engineering, Statistics, or a related discipline, or equivalent practical experience.

NICE TO HAVE

Exposure to dbt or another transformation framework.
Exposure to a cloud data warehouse or lakehouse - Databricks, Snowflake, Redshift, or BigQuery.
Exposure to a workflow orchestrator (Airflow, Prefect, Dagster, Databricks Workflows) or to scheduled jobs in any form.
Exposure to AWS or another cloud platform.
A personal, academic, or internship project where you built a pipeline end to end and can explain the choices you made.
Interest in gaming, fintech, payments, or another high-volume transactional domain.

WHY JOIN PUNT?

Help scale a fast-growing social gaming platform with real technical and product impact.
Work on high-throughput backend systems where performance, reliability, security, and operational excellence matter.
Join a collaborative engineering team that values strong technical judgment, ownership, and pragmatic architecture.
Use modern engineering practices, including AI-assisted development, automation, observability, and cloud-native infrastructure.
Influence backend architecture, platform standards, and the technical direction of a growing engineering organization.
Work in a high-growth environment with opportunities for learning, ownership, and leadership.
Competitive compensation and a comprehensive benefits package.

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More about this job

Responsibilities

You will design, build, and maintain core data pipelines and analytics models while supporting cloud data infrastructure. Additionally, you will collaborate with cross-functional teams to ensure data accuracy and implement robust monitoring for high-volume transactional datasets.

Requirements

Candidates must have at least 2 years of professional experience in data or backend engineering and strong proficiency in SQL and Python. A bachelor's degree in a technical field is required, along with an AI-forward mindset and familiarity with modern engineering best practices.

Skills

SQL
Python
Data Engineering
Data Modeling
dbt
Cloud Data Infrastructure
ELT Pipelines
Git
Data Quality
API Integration
AI-assisted development
Dimensional modeling
Data reconciliation
Schema migrations
Performance optimization

Benefits

Competitive compensation

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
SQL
Python
dbt
Cloud Data Warehouse
Databricks
Snowflake
Redshift
BigQuery
Airflow
Prefect
Dagster
AWS
ELT
Git
Dimensional Modeling
API
AI-assisted development
GitHub Copilot
Cursor
Data Pipelines
Analytics Engineering
Backend Engineering
Social Gaming
Fintech
Data Quality
Schema Migrations
Unit Testing
Observability
Transactional Systems

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