Remote Data Engineer (Remote - Canada)

Description:

• This position is for a Data Engineer at J.D. Power, located in Canada, and is fully remote.
• The role involves designing and optimizing scalable ETL pipelines and data architectures.
• You will work with vast datasets using technologies like SQL, Python, and Spark.
• Collaboration with cross-functional teams is essential to ensure efficient data flows and high-quality integration.
• You will play a key role in building the foundation for advanced analytics.
• Responsibilities include developing and maintaining robust ETL pipelines, building scalable data architectures, and partnering with analysts and stakeholders to deliver optimal data solutions.
• You will monitor, troubleshoot, and enhance data workflows to ensure reliability and performance.
• The role requires working with large-scale datasets and ensuring efficient distributed processing with tools like Spark.
• Upholding data quality, integrity, and compliance through strong documentation and security best practices is crucial.
• You will contribute to continuous improvements in the data ecosystem, including CI/CD pipeline integration.

Requirements:

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

Benefits:

• The position offers a fully remote work structure with flexible scheduling.
• Performance-based rewards and clear leadership support are provided.
• A generous paid time off policy is included.
• Health and wellness support, including healthcare coverage, is offered.
• There are professional growth and development opportunities in a mission-driven, values-led company.