Data Scientist

About This Role

This Data Engineer role involves designing, developing, and maintaining robust data pipelines and systems. The work enables various teams, including Data Science, Engineering, Product, and Operations, to make informed, data-driven decisions. The position requires working with extensive and diverse datasets spanning customer information, vehicle data, inventory, pricing, sales, marketplace activity, and operational systems.

Responsibilities

• Design, build, and maintain scalable ETL/ELT data pipelines
• Develop reliable batch and near-real-time data ingestion workflows
• Integrate data from internal applications, third-party APIs, databases, and other sources
• Build and maintain data models for analytics, reporting, machine learning, and AI applications
• Write efficient and maintainable SQL and Python code
• Work closely with Data Scientists and Software Engineers to provide high-quality datasets for modeling and product development
• Implement data-quality checks, monitoring, validation, and observability
• Optimize data pipelines for performance, scalability, reliability, and cost
• Build and maintain data warehouses and analytical infrastructure
• Support data governance, security, lineage, and access controls
• Troubleshoot data pipeline failures and resolve data-quality issues
• Establish and maintain documentation for datasets, pipelines, and data architecture
• Help develop the data foundation required for Ever’s AI-native automotive platform

Requirements

• 3+ years of experience in Data Engineering or a closely related role
• Strong proficiency in Python and SQL
• Experience designing and building production-grade ETL/ELT pipelines
• Experience with relational databases and data warehousing
• Experience working with cloud-based data infrastructure
• Strong understanding of data modeling and database design
• Experience with data quality, validation, monitoring, and pipeline reliability
• Ability to work effectively with Data Scientists, Software Engineers, Product, and business teams
• Strong problem-solving and debugging skills
• Strong ownership and attention to data reliability
• Ability to design simple, scalable solutions to complex data problems
• Strong engineering fundamentals and clean coding practices
• Comfort working in a fast-moving startup environment
• Ability to collaborate across technical and business teams
• Interest in AI, machine learning, automotive technology, and data-driven products

Nice to have: