Data Engineer

Pelmorex Corp

Senior Data Engineer building and maintaining data systems and analytics capabilities for B2B products at Pelmorex. Collaborate with a team of Engineers, Product Managers, and Data Scientists to deliver high-quality data solutions.

Posted 7/31/2026full-timeOakville • 🇨🇦 CanadaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in developing and maintaining ETL/ELT pipelines using modern frameworks, with a strong focus on data modeling, validation, and system performance optimization. Experienced in collaborating with cross-functional teams to deliver scalable data solutions in cloud environments.

Highest-signal resume keywords

ETL/ELT Pipeline DevelopmentData ModelingPython ProgrammingSQL ProficiencyCloud Data Workloads Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETLELTData ModelingPythonSQLApache BeamSnowparkApache AirflowGoogle Cloud PlatformBigQuery

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

SnowflakeGoogle WorkflowsPostgreSQLGoogle Cloud Storage

Industry Keywords

Data EngineeringData IntegrityCI/CDData ValidationSystem Observability

Tech Stack

Tools & technologies

AirflowApacheBigQueryCloudETLGoogle Cloud PlatformPostgresPythonSQL

About the role

Key responsibilities & impact

You will develop and maintain ETL/ELT pipelines using modern distributed compute frameworks such as Apache Beam and Snowpark.
You will build, monitor, and optimize data workflows using tools like Apache Airflow, Google Workflows, and Snowflake Tasks.
You will implement and optimize data models and storage across BigQuery, Snowflake, PostgreSQL, and Google Cloud Storage.
You will implement robust data validation frameworks, write unit/integration tests for data pipelines, establish CI/CD, and set up proactive monitoring for data integrity and system health.
You will help improve data system performance, reduce costs, and increase reliability.
You will partner with Engineers, Product Managers, and Data Scientists to deliver high-quality data solutions that support business needs.

Requirements

What you’ll need

Bachelor’s or Master's degree in Computer Engineering, Software Engineering, Computer Science, or an equivalent technical field.
2-5 years of professional experience in Data Engineering with hands-on experience building and supporting production data systems at scale.
Solid understanding of ETL/ELT patterns, data modeling, partitioning strategies and pipeline design.
Experience deploying, managing, or supporting data workloads in the cloud (GCP preferred).
Strong proficiency in Python and SQL. Experience writing clean, modular, and maintainable code optimized for heavy data processing.
Strong commitment to automated pipeline testing, continuous integration, comprehensive documentation, and proactive system observability.

Benefits

Comp & perks

Flexible Hybrid Work Environment 💻
Retirement Savings Matching Plan (RRSP). Plan for your future with us! 💸
Personal Spending Account 💰
Up to $500 to spend on anything related to physical, mental or financial well-being (in addition to your Health Care Spending Account)
Summer Hours 🌞
17 Paid Days Off (in addition to 13 Personal Days) 🌅
An IDEAS (Inclusion, Diversity, Equity, Awareness, Solidarity) team ⚖️
Course Reimbursement Program 📚
Open and transparent communication, including All Hands Meetings with our CEO
Pelmorex Learning Academy 🏫
Partnering with Inkblot for virtual counseling sessions
Frequent employee pulse surveys 📝
Free online doctor visits 👩‍⚕️
Anonymous reporting platform to ensure everyone’s voice is heard