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About the Role
This role is central to maintaining the health of our data platform and building the next generation of internal tools. You will work directly with stakeholders, debug complex systems, and leverage AI agents in your daily workflow.
Responsibilities
- Own the day-to-day health of data pipelines, including Python ETL jobs, Snowflake dbt models, and Azure Data Factory pipelines.
- Triage failures to root cause and implement fixes for issues such as schema changes, API rate limits, and broken model tests.
- Collaborate directly with business stakeholders to understand issue impact, provide updates, and confirm resolutions.
- Partner with the data team on fixes, code reviews, and releases.
- Identify and address recurring issues by implementing alerting, validation, retries, and schema-change handling.
- Proactively identify and drive fixes for weaknesses in process, architecture, code quality, and security.
- Help define and enforce repeatable patterns for quality and security in deployment, logging, testing, and secrets handling.
- Assist in building, shipping, and running internal applications to replace SaaS vendors, spreadsheets, and manual processes.
- Collaborate with business stakeholders to translate problems into requirements and prototypes, and develop working software.
- Utilize AI coding agents as a primary work method and share workflows to improve team efficiency.
Requirements
- Demonstrated passion for or commitment to the company's mission.
- 2-3 years of professional software or data engineering experience (exceptional new graduates with substantial shipped work will be considered).
- Strong Python and SQL skills.
- Experience building or operating software in a cloud environment (Azure preferred; AWS or GCP experience accepted).
- Proficiency with AI coding agents and ability to detail workflows.
- Comfort debugging systems under pressure with incomplete information.
- Ability to translate business problems into technical solutions.
- Unimpeachable integrity and glowing references.
- Outstanding communication and interpersonal skills, including empathy, intuition, listening, writing, and documentation.
- High level of self-awareness and humility.
- Intellectual agility, curiosity, and creativity.
- Entrepreneurial spirit, flexibility, and comfort with risk.
Skills
- Python
- SQL
- Cloud environments (Azure preferred)
- AI coding agents
- Snowflake
- dbt
- Internal tools development
- Full-stack application development
Location
- San Francisco, CA
Work Type
- Hybrid
Experience Level
- 2-3 years professional experience
- Exceptional new graduates considered
Salary/Compensations
- $130,000 - $160,000
Benefits
- Discretionary bonus
- Health care benefits
- Retirement benefits
- Paid days off (sick leave, parental leave, vacation)
- Other federally reportable benefits
About the Company
- Generate's Data & Technology team runs the data platform the whole firm depends on.
- The company is increasingly replacing SaaS tools, spreadsheets, and manual processes with internally built software.
Equal Opportunity
- Generate Capital is an equal opportunity employer and does not discriminate against otherwise qualified applicants on the basis of actual or perceived race, color, creed, religion, ancestry, citizenship status, age, sex, marital status, sexual orientation, gender identity, national origin, disability or handicap, veteran status, or any other characteristic protected by applicable federal, state, or local laws.