Senior Data Engineer (Remote)

Lumenalta; Montreal (administrative region); On-site; CAD 69,000 - 139,000; Full time

Benefits offered by this job

Flexible working hours

Health insurance

Professional development fund

15 days of paid time off

Access to soft-skill development courses

Job summary

A leading data solutions company seeks a Senior Data Engineer to design and maintain robust ETL pipelines, work with complex datasets using Python or Java, and ensure data quality. The ideal candidate has 7+ years of experience, strong SQL skills, and familiarity with cloud environments. This full-time role offers a competitive salary of CA$69,000 - CA$139,000 annually, with flexible working hours and a comprehensive benefits package, all in a fully remote setting.

Qualifications

• 7+ years of experience as a Data Engineer.
• Proficient in SQL for querying large datasets.
• Experience with batch and/or stream data processing pipelines.

Responsibilities

• Design, build, and maintain reliable ETL pipelines.
• Work with large datasets using Python or Java.
• Ensure data quality and reliability across the platform.

Skills

Python

Java

SQL

Data governance

Agile methodologies

Data modeling

Tools

AWS S3

EC2

Airflow

Kafka

Job description

We help global enterprises launch digital products that reach millions of users. Our projects involve massive datasets, complex pipelines, and real-world impact across industries.

What You’ll Do

• Join the team as a senior-level Data Engineer with strong ownership of data pipelines and architecture
• Design, build, and maintain reliable ETL pipelines from the ground up
• Work with large, complex datasets using Python or Java and advanced SQL
• Build scalable and efficient data flows and transformations across multiple systems
• Partner with data analysts, product managers, and engineers to deliver high-quality, actionable data
• Ensure data quality, consistency, performance, and reliability across the data platform

What We’re Looking For

• 7+ years of experience as a Data Engineer
• Strong skills in Python or Java for data processing
• Proficient in SQL, especially for querying large datasets
• Experience with batch and/or stream data processing pipelines
• Familiarity with cloud-based storage and compute (e.g., AWS S3, EC2, Lambda, GCP Cloud Storage, etc.)
• Knowledge of data modeling, normalization, and performance optimization
• Comfortable working in agile, collaborative, and fully remote environments
• Fluent in English (spoken and written)

Nice to Have (Not Required)

• Experience with Airflow, Kafka, or similar orchestration/message tools
• Exposure to basic data governance or privacy standards
• Unit testing and CI/CD pipelines for data workflows

This job is 100% Remote – please ensure you have a comfortable home office setup in your preferred work location.

Salary range: CA$69,000 - CA$139,000 annually, with final compensation determined by your qualifications, expertise, experience, and the role's scope.

Location:

This is a fully remote position; however, candidates must be based in regions that align with the Pacific, Central, or Eastern U.S. time zones to ensure effective collaboration with client and team schedules.

In addition to competitive pay, we offer a variety of benefits to support your professional and personal growth, including:

• Flexible working hours in a remote environment.
• Health insurance (medical and dental) for T4 Employees.
• A professional development fund to enhance your skills and knowledge.
• 15 days of paid time off annually.
• Access to soft-skill development courses to further your career.

This is a full-time position requiring a minimum of 40 hours per week, Monday through Friday.

Application Deadline

This role is an evergreen position with no predetermined start date. Applications will be accepted until February 27, 2026. As we continue to build our talent pipeline, the position may be reposted to allow us to connect with additional qualified professionals.