Data Engineer - Remote

Overview

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.

In Short

• 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.

Requirements

• Strong experience in data engineering and ETL processes.
• Proficient in SQL, Python, and Spark.
• Experience with scalable data architecture design.
• Strong problem-solving skills and attention to detail.
• Ability to collaborate with cross-functional teams.
• Familiarity with data quality and compliance standards.

Benefits

• Fully remote work environment.
• Opportunity to work with a data-driven organization.
• Flexible work hours.
• Contribute to impactful projects.
• Collaborative team culture.