Data Pipelines Software Engineer — AI-Driven Tools

Generate; San Francisco (CA); Hybrid; USD 130,000 - 160,000; Full time

Job summary

Generate Capital is seeking a Software Engineer, Data to keep our data pipelines healthy and help build the next generation of internal tools. You will own daily ETL health, work with Snowflake/dbt in cloud environments, and partner with stakeholders to translate problems into reliable software.

You will debug systems you didn’t write, apply AI coding agents in your workflow, and help raise data quality, security, and maintainability across deployments.

Qualifications

• 2–3 years of professional software or data engineering experience.
• Strong Python and SQL skills.
• Experience with cloud data tools; Azure preferred, AWS/GCP welcome.
• Snowflake and dbt are pluses.
• Excellent communication and problem-solving abilities.

Responsibilities

• Own the day-to-day health of our data pipelines (Python ETL, dbt in Snowflake, ADF).
• Triage failures, root cause analysis, and fixes across vendor schemas and API limits.
• Collaborate with stakeholders to translate problems into requirements and prototypes.
• Review code with the data team and coordinate releases.
• Improve alerts, retries, and schema-change handling to prevent recurrence.
• Identify weaknesses in process, architecture, and security; drive fixes.

Skills

Python

SQL

Cloud platforms

AI workflows

Debugging complex systems

Communication skills

Tools

Azure

AWS

GCP

Snowflake

dbt

Job description

Generate Capital is seeking a Software Engineer, Data to keep our data pipelines healthy and help build the next generation of internal tools. You will own daily ETL health, work with Snowflake/dbt in cloud environments, and partner with stakeholders to translate problems into reliable software.

You will debug systems you didn’t write, apply AI coding agents in your workflow, and help raise data quality, security, and maintainability across deployments.