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Added 27 days ago
E
Data Engineer
Elisa
Engineer, BC
- Full-time
Our technology stack includes AWS, Databricks, Python, SQL, Spark, Delta Lake/Iceberg, GitHub Actions, and modern observability tooling.
Added 29 days ago
A
Business Intelligence Engineer II, Talent Acquisition Analytics
Amazon
Vancouver, BC
- Full-time
As a Business Intelligence Engineer, this is your opportunity to be at the intersection of data, analysis, hiring, and strategy that will make it possible for our teams to fulfill that…
Added 29 days ago
P
Associate Data Engineer
Punt
Vancouver, BC
- $70,000 to $90,000 CAD / year
- 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 1 month ago
R&
Staff AI Engineer
Robots & Pencils
Canada
- Full-time
Build and maintain backend services using Python and Node.js, including serverless architectures (e.g., AWS Lambda, API Gateway)
Added 1 month ago
A
ML Ops Engineer
Ampstek
Concord, ON
- Contract
Strong proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch).
Added 25 days ago
NS
Intermediate / Senior Test Engineer
Netskrt Systems Inc.
BC
- $90,000 to $120,000 CAD / year
- Full-time
Netskrt is looking for a talented, results-driven Intermediate/Senior Test Engineer to join the Netskrt team. We are a highly motivated team dedicated to delivering products and services…
Added 26 days ago
Software Engineer (Full Stack)
Synpulse
Toronto, ON
We seek a skilled and experienced Software Engineer (mid-level) to join our dynamic team. You will play a pivotal role in the design, development, and implementation of software solutions…
Added 26 days ago
Intermediate Machine Learning Engineer
Aviva
Markham, ON
We are looking for a talented and motivated Intermediate Machine Learning Engineer to join our AI/ML Operations & Platform team. The ideal candidate will have hands-on experience in…
Added 1 month ago
ES
Senior Application Engineer
EPAM Systems
Canada
- Full-time
We are seeking a highly skilled Senior Application Engineer with deep T-SQL expertise to join the Liquid Credit Engineering Team, a key division within our broader Investment Systems…
Added 26 days ago
Administrateur·rice de bases de données/ Database Administrator (Cloud)
TouchTunes
Montreal, QC
…solide expertise en services de bases de données infonuagiques AWS et en ingénierie des plateformes de…
Added 1 month ago
A
Senior Full Stack Engineer (Application + Data)
Article
Vancouver, BC
- $165,000 to $175,000 CAD / year
- Full-time
Build and maintain data pipelines using Python, SQL, dbt, and Databricks.
Added 1 month ago
FS
Software Engineer
Fleet Space Technologies
Toronto, ON
- Full-time
Tech stack: Python, Go, TypeScript/JavaScript, SQL, AWS, Docker, GitLab and CI/CD, with 2D and 3D visualisation libraries such as Three.js, WebGL, deck.gl or Plotly.
Added 1 month ago
AG
Senior Data Engineer / Ingénieur(e) de données senior
Aduna Global
Montreal, QC
- Full-time
Cloud object storage (AWS/Azure), lakehouse/warehouse platform (Databricks/Snowflake or equivalent), Spark, SQL, Python, orchestration (Airflow/Dagster), streaming (Kafka), BI tools (Power…
Added 1 month ago
R
Senior Data Engineer
RBC
Vancouver, BC
- Full-time
In this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the…
Added 1 month ago
Middle/Senior Forward Deployed Engineer (Python, AI)
Exadel
Canada
Advanced proficiency in Python, along with experience using TypeScript or JavaScript and SQL.
Added 1 month ago
R
Senior Security Engineer (Global Security)
RBC
Vancouver, BC · Toronto, ON
- Full-time
5+ years of experience in software development, with a focus on Python, REST APIs, and Containers
Added 1 month ago
P
Principal AI Engineer
PointClickCare
Mississauga, ON
- $191,700 to $213,000 CAD / year
- Full-time
PointClickCare is searching for a Principal AI Engineer who will lead and design AI systems across multiple SaaS solutions following our AI Design Patterns, defining technical standards and…
Added 1 month ago
P
Senior Data Engineer - Snowflake - Contract
Propel
Canada
- Contract
We are looking for a Snowflake Data Engineer to help build and maintain their cloud data warehouse and pipelines. This is a hands on role that involves taking ownership of moderately…
Added 1 month ago
Principal Development Architect
SAP
Montreal, QC
Advanced experience in one or more of those technologies: Java or Node, Python, package managers, REST APIs, Unit Tests, Databases, at least one Cloud Platform (SAP BTP, AWS, GCP, Azure),…
Added 1 month ago
Senior Data Engineer, AI & Agents
Appnovation Technologies
Toronto, ON
As a Senior Data Engineer, AI & Agents, you will prepare enterprise domain data for consumption by AI agents, partnering directly with business stakeholders and subject-matter experts. The…
Added 1 month ago
RB
Senior Data Engineer
Royal Bank of Canada
Vancouver, BC
- Full-time
In this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the…
Added 1 month ago
V
Staff Software Engineer
Verily
Toronto, ON · Waterloo, ON
- Full-time
Demonstrated experience with Go, Java, Python, and/or SQL.
Added 1 month ago
Senior, AI & Data Science
Artefact
Montreal, QC
Proficiency in Python (scikit-learn, XGBoost; PyTorch a strong plus) and solid SQL.
Added 1 month ago
V
Sr Data Engineer, Specialist
Vanguard
Toronto, ON
- Full-time
We are looking for a Sr Data Engineer with in-depth expertise in AWS, Databricks, and modern data
Added 1 month ago
Senior Software Engineer
Fleet Space Technologies
Toronto, ON
Tech stack: AWS, Python and/or Go, SQL, Docker, infrastructure as code, GitLab and CI/CD, REST, OpenAPI, GraphQL and gRPC.

Punt

Associate Data Engineer

Vancouver, BC, Canada

$70,000 to $90,000 CAD / year · Full-time

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Job details

Pay: $70,000 to $90,000 CAD / year
Job type: Full-time
Apply by: Oct 4, 2026
Experience: Experience: 0–2 years of professional experience in data engineering, analytics engineering, or backend engineering (internships and co-ops included).
Posting language: English
Posted: Sep 4, 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: 0–2 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

Design, build, and maintain core data pipelines and analytics models using dbt and Python. Ensure data accuracy and quality through the implementation of monitoring, testing suites, and incident response.

Requirements

Requires 0-2 years of experience in data or backend engineering and a bachelor's degree in a technical field. Candidates must be proficient in SQL and Python with a strong mindset toward using AI development tools.

Skills

Sql
Python
Dbt
Data Modeling
Git
ELT Pipelines
Data Ingestion
Cloud Data Warehousing
API Integration
Data Quality Monitoring
AI-Assisted Development
Dimensional Modeling

Benefits

Competitive Compensation

Visa sponsorship

Not detected in the job text

Keywords

Sql
Python
Dbt
Databricks
Snowflake
Redshift
BigQuery
Airflow
Prefect
Dagster
Aws
GitHub Copilot
Cursor
Claude
ELT
Dimensional Modeling
Git
Data Engineering
Social Gaming
Fintech
Cloud Infrastructure
Data Pipelines
Schema Migrations
Unit Testing
Data Reconciliation

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