Senior Data Engineer (Remote)

Lumenalta; Ottawa; Remote; CAD 69,000 - 200,000; Full time

Benefits offered by this job

Flexible working hours

Health insurance (medical and dental)

Professional development fund

15 days of paid time off annually

Job summary

A leading data engineering firm is seeking a Senior Data Engineer who can design and maintain effective ETL pipelines. The ideal candidate will have over 7 years’ experience and be proficient in Python or Java, as well as SQL for querying large datasets. This remote role offers competitive pay with a salary range of CA$69,000 to CA$200,000 annually and provides benefits such as health insurance and a professional development fund. Applications are accepted until April 30, 2026.

Qualifications

• 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.

Responsibilities

• Join the team as a senior-level Data Engineer.
• Design, build, and maintain reliable ETL pipelines.
• Work with large, complex datasets using Python or Java.
• Build scalable and efficient data flows across systems.
• Ensure data quality, consistency, and reliability.

Skills

Python

Java

SQL

Data processing

Cloud storage

Data modeling

Agile methodology

Fluent English

Tools

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.

This is an evergreen role. We continuously meet talented engineers to support upcoming client projects. While there may not be an immediate opening, qualified candidates may be considered for future engagements.

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$200,000 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 April 30, 2026. As we continue to build our talent pipeline, the position may be reposted to allow us to connect with additional qualified professionals.