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Added 2 hours ago
D
Forward Deployed Engineer
Didero
Toronto, ON
- $90,000 to $130,000 CAD / year
- Full-time
This is a hands-on engineering role. You will build backend services, integrations, APIs, data pipelines, and workflow automations. Our core platform uses Django and Python; we care more…
Added 3 hours ago
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Jr. Algorithm Engineer
Dynamsoft
Vancouver, BC
- $50,000 to $70,000 CAD / year
- Full-time
Assisting with data preparation, model training, testing, and performance benchmarking.
Added 3 hours ago
Q
FY27 Intern - Telemetry Firmware, Driver and Tools Developer Internship - Canada (16 months)
Qualcomm
Markham, ON
- Full-time
This internship provides an opportunity to work across firmware, kernel drivers, and software tools while collaborating with hardware, platform, and system software teams to develop…
Added 6 hours ago
P
Associate Data Engineer
Punt
Vancouver, BC
- Full-time
Python Skills: Practical experience writing Python scripts for data manipulation, API integration, and automated task execution with proper error handling.
Added 13 hours ago
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Platform Engineer Intern (8 month term)
Nelnet
Mississauga, ON · CAN - MISSISSAUGA
- Full-time
…automation scripts for real software projects. You’ll collaborate with QA engineers and developers in a supportive, DevOps‑driven environment that values learning, mentorship, and…
Added 13 hours ago
EF
Forward Deployed Engineer (FDE) Intern (8-12 month intern)
Element Fleet Management
Toronto, ON
- Full-time
You are currently pursuing a bachelor's or master's degree in Computer Science, Engineering, Data Science, or a related field, with at least one term of study remaining or graduating within…
Added 19 hours ago
MA
Marsh People and Investments - Strategic Implementation Co-Op - Toronto - Winter 2027
Marsh Agency
Toronto, ON
- Contract
Completion of two (2) years towards a Bachelor's degree in Computer Science, Mathematics, Statistics, Business Analytics, Industrial Engineering, Data Science and Analytics, Commerce,…
Added 1 day ago
Q
FY27 Intern - Machine Learning Engineering Internship - Canada (4 months)
Qualcomm
Markham, ON
- Full-time
Our internship hiring model routes candidates from this application into multiple project specific roles. Your "Profile Visibility" choice will guide how we manage your data across our…
Added 1 day ago
Q
FY27 Intern - Display IP FPGA Emulation Intern - Canada (4 months)
Qualcomm
Markham, ON
- Full-time
Our internship hiring model routes candidates from this application into multiple project specific roles. Your "Profile Visibility" choice will guide how we manage your data across our…
Added 1 day ago
NE
Stagiaire en recherche – IA et observation de la Terre / Research Intern – AI for Earth Observation (EI²)
Northstar Earth and Space
Montreal, QC
- Internship
You will join the EI² team and work directly with our scientists and data scientists, who will support you throughout the project. Your project: compare foundation-model embeddings…
Added 1 day ago
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Investment Team Intern, Summer 2027 (Co-op/Internship) - 4 months
BMO
Toronto, ON · FCP
- Full-time
…Core Active Investments or Client Portfolio Management. This internship offers a unique opportunity to work alongside experienced portfolio managers and researchers, contributing directly…
Added 1 day ago
TG
Junior Cybersecurity Operations Analyst Intern
TMX Group
Toronto, ON
- $20 to $24 CAD / hour
- Full-time
Basic scripting capabilities (e.g., Python, PowerShell) paired with an interest in task automation.
Added 1 day ago
CS
Instructor, AI and Machine Learning with Python (Ottawa)
Circuit Stream
Ottawa, ON
- $1,650 CAD / week
- Contract
You’ll help students ages 13–17 explore AI and machine learning through Python, recommendation systems, and an interactive chatbot project. The curriculum, lesson resources, and activities…
Added 1 day ago
SL
ServiceNow Associate Software Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
Recent graduates with 0–2 years of internship/co-op experience, OR professionals with 3–5 years of software development or application support experience
Added 1 day ago
T
Analytics Engineer
Tantalus
Burnaby, BC
- Full-time
This is an opportunity to work at the intersection of utility operations, data analytics, AI, and customer outcomes. You will help customers understand the measurable value of their…
Added 1 day ago
RB
2027 Capital Markets, Global Equities, AI Engineer (16 Months, Co-op)
Royal Bank of Canada
Toronto, ON
- Full-time
Data Science: Experience working with large datasets to extract insights and create visualizations using libraries like NumPy, Pandas, Seaborn, and Streamlit

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.

Apply About employer

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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