Senior Data Processing Engineer - Remote

Overview

The Senior Data Processing Engineer will architect, design, build, and maintain scalable data pipelines to efficiently process large volumes of structured and unstructured data.

In Short

• Architect and maintain data pipelines for large datasets.
• Manage integration of data from various platforms.
• Collaborate with cross-functional teams to meet business needs.
• Ensure data integrity and quality through validation processes.
• Adhere to best practices in software engineering.
• 10+ years of experience in data engineering.
• Proficient in programming languages (Python, C++, Java).
• Experience with data processing tools (Kafka, Flink).
• Knowledge of cloud platforms (AWS, Azure).
• Excellent collaboration skills with technical and non-technical stakeholders.

Requirements

• Bachelor’s degree in Computer Science, Data Science, or related field.
• 10+ years in engineering, focusing on data processing.
• 5+ years managing data or software projects.
• Experience with distributed computing systems.
• Familiarity with relational and non-relational databases.
• Experience leading complex data pipeline projects (preferred).
• Master’s degree in a related field (preferred).
• Experience in motorsports data solutions (preferred).
• Knowledge of data governance best practices (preferred).
• Experience with Live Streaming data pipelines (preferred).

Benefits

• Opportunity to work in a diverse and inclusive environment.
• Competitive salary and benefits package.
• Relocation benefits may be available.
• Work with cutting-edge technology and data solutions.
• Collaborate with cross-functional teams.
• Contribute to a vision of zero crashes, emissions, and congestion.
• Access to professional development opportunities.
• Flexible working arrangements.
• Engage in meaningful projects that drive change.
• Join a culture of belonging and support.