Data Engineer

Data Engineer

Location: San Francisco, CA

Work Model: Onsite

Employment Type: Full-Time

Industry: Automotive / EV / AI / Technology

About the Role

As a Data Engineer, you will design, develop, and maintain reliable data pipelines and data systems that enable Data Science, Engineering, Product, and Operations teams to make data-driven decisions.

You will work with large and diverse datasets across customers, vehicles, inventory, pricing, sales, marketplace activity, and operational systems.

What You’ll Do

• 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.

Required Qualifications

• 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.

Preferred Qualifications

• Experience with Snowflake, BigQuery, Redshift, or Databricks .
• Experience with AWS or another major cloud platform.
• Experience with Airflow, Dagster, Prefect, or similar orchestration tools .
• Experience with dbt .
• Experience with Spark or other distributed data-processing technologies.
• Experience building real-time or streaming data pipelines.
• Experience with Kafka or similar event-streaming platforms.
• Experience supporting machine-learning or AI workloads.
• Experience with automotive, e-commerce, marketplace, mobility, or other high-volume transactional data.
• Experience working at an early-stage or high-growth technology company.

What We’re Looking For

• 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