Senior Data Engineer; Remote

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

• 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)

• 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.

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
.

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.