Data Engineer

J.D. Power

J.D. Power is looking for a skilled Data Engineer to join their team. This role is crucial for transforming raw data into valuable insights that drive decisions and innovation. The data engineering team focuses on building and maintaining scalable data architectures to support analytics needs, playing an essential role in the company's strategic growth and market leadership.

In this role you can expect to have the responsibilities:

• Design, develop, and maintain ETL pipelines for data processing.
• Manage scalable data architectures for analytical support.
• Collaborate with data scientists and stakeholders to meet data needs.
• Optimize data workflows for reliability and performance.
• Handle large datasets using technologies like Spark.
• Implement best practices for data integrity and security.
• Document technical processes and designs.

This role comes with the following benefits:

• Leader Led
• Remote First
• Foster Flexibility
• Reward Performance
• Time Off Matters

This role requires you to have:

• Minimum 3 years as a Data Engineer or similar position.
• Proficient in SQL and Python.
• Experience with Spark and distributed data processing.
• Expertise in ETL development and data pipelines.
• Solid understanding of data warehousing and dimensional modeling.
• Experience with cloud platforms such as GCP, AWS, Azure.
• Problem-solving skills and collaborative work experience.

You would benefit from having:

• Familiarity with the Palantir platform.

J.D. Power values diversity and is an equal opportunity employer, ensuring no discrimination in hiring. The company adheres to AODA/ADA legislation, providing accommodations as needed during hiring processes.