Data Engineer (Remote - Canada)

Jobgether; Canada; Remote; CAD 90,000 - 120,000; Full time

Job summary

A leading organization seeks a skilled Data Engineer in Canada to design and optimize ETL pipelines and data architectures. This remote position focuses on collaborating with teams to enhance data quality and analytics while using technologies like SQL, Python, and Spark. If you have a strong background in data engineering and a passion for data-driven decision-making, this role offers excellent opportunities for professional growth and performance-based rewards.

Benefits

Flexible scheduling

Generous paid time off

Health and wellness support

Professional growth opportunities

Qualifications

• 5+ years of experience in Data Engineering with hands-on ETL development.
• Experience with Spark for distributed data processing.
• Strong skills in SQL and Python programming.

Responsibilities

• Develop and maintain ETL pipelines for data ingestion and transformations.
• Collaborate with teams to define optimal data solutions and monitor workflows.
• Ensure data quality and security through documentation and best practices.

Skills

SQL

Python

Spark

Problem-solving

Communication

Education

Bachelor's degree in Computer Science or Engineering

Tools

Snowflake

BigQuery

PostgreSQL

CI/CD

Palantir

Job description

This position is posted by Jobgether on behalf of J.D. Power. We are currently looking for a Data Engineer in Canada.

Join a forward-thinking, data-driven organization where your engineering skills will directly contribute to unlocking insights that power better decision-making. In this role, you’ll design and optimize scalable ETL pipelines and data architectures, working with vast datasets using technologies like SQL, Python, and Spark. You’ll collaborate with cross-functional teams to ensure efficient data flows and high-quality integration, playing a key role in building the foundation for advanced analytics. This is a fully remote opportunity designed for professionals who thrive in flexible, high-impact environments.

Accountabilities:

• Develop and maintain robust ETL pipelines to support data ingestion, transformation, and delivery.
• Build scalable data architectures for analytics and reporting across business units.
• Partner with analysts, data scientists, and stakeholders to define and deliver optimal data solutions.
• Monitor, troubleshoot, and enhance data workflows to ensure reliability and performance.
• Work with large-scale datasets using tools like Spark and ensure efficient distributed processing.
• Uphold data quality, integrity, and compliance through strong documentation and security best practices.

Contribute to continuous improvements in the data ecosystem, including CI/CD pipeline integration.

• 5+ years of experience as a Data Engineer, with hands-on focus on ETL development using SQL and Python.
• Proficient in writing scalable and maintainable SQL for complex data transformations and logic.
• Strong Python programming skills with understanding of modular, object-oriented design and integration with cloud and relational databases (e.g., Snowflake, BigQuery, PostgreSQL).
• Experience working with Spark for large-scale, distributed data processing.
• Skilled in performance tuning, debugging, and working with JSON and APIs.
• Solid knowledge of data warehousing concepts and dimensional modeling.
• Familiarity with CI/CD pipelines and platforms like Palantir is a plus.
• Strong communication and problem-solving skills; ability to work collaboratively in remote-first environments.
• Bachelor’s degree or higher in Computer Science, Engineering, or related field.

• Fully remote work structure with flexible scheduling.
• Performance-based rewards and clear leadership support.
• Generous paid time off policy.
• Health and wellness support including healthcare coverage.
• Professional growth and development opportunities in a mission-driven, values-led company.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience and achievements.
It compares your profile to the job’s core requirements and past success factors to determine your match score.
Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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