Data Engineer: Scalable ETL Pipelines for AI & Analytics

Stealth Startup; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Stealth Startup is seeking a Data Engineer to design, develop, and maintain reliable data pipelines and systems across multiple teams, enabling data-driven decisions. You will handle large, diverse datasets spanning customers, vehicles, inventory, pricing, sales, and operations.

You will build ETL/ELT pipelines, batch and streaming ingestion, data models, and warehouses while collaborating with data scientists and engineers to provide high-quality datasets for modeling and product development.

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 collaborate with Data Scientists, Software Engineers, Product, and business teams.
• Strong problem-solving and debugging skills.

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, ML, and AI.
• Write efficient and maintainable SQL and Python code.
• Work with Data Scientists and Software Engineers to provide high-quality datasets.
• 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 data-quality issues.
• Establish and maintain documentation for datasets, pipelines, and architecture.
• Help develop the data foundation for AI-native automotive platform.

Skills

Python

SQL

ETL pipelines

Data modeling

Data warehousing

Cloud data infra

Data quality

Collaboration

Problem solving

Tools

Snowflake

BigQuery

Redshift

Databricks

Airflow

Dagster

Prefect

dbt

Spark

Kafka

Job description

Stealth Startup is seeking a Data Engineer to design, develop, and maintain reliable data pipelines and systems across multiple teams, enabling data-driven decisions. You will handle large, diverse datasets spanning customers, vehicles, inventory, pricing, sales, and operations.

You will build ETL/ELT pipelines, batch and streaming ingestion, data models, and warehouses while collaborating with data scientists and engineers to provide high-quality datasets for modeling and product development.