Software Engineer, Data
San Francisco, CA - Hybrid · San Francisco, CA, United States
- Pay
$130,000–160,000/year · BaseAnnual period assumed — pay source
This is a hybrid role based in San Francisco, CA. Generate’s compensation packages are dependent on the facts and circumstances of each case. Salary decisions take into account a wide variety of factors including, but not limited to: skill sets, experience and training, licensure and certifications, geographic location, and other business and organizational needs. A reasonable estimate of the base salary range for this role is $130,000 - $160,000. In addition, the compensation package may include a discretionary bonus and other benefits, including health care benefits, retirement benefits, benefits permitting paid days off (including sick leave, parental leave, and paid time off or vacation benefits), and other benefits that must be reported for federal tax purposes. It is not typical for an individual to be hired at the top of this range. 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.
Read the full posting- Work setting
Hybrid — work setting source
Entrepreneurial spirit: flexibility, comfort with risk, recognition that “perfect can be the enemy of the good”. This is a hybrid role based in San Francisco, CA. Generate’s compensation packages are dependent on the facts and circumstances of each case. Salary decisions take into account a wide variety of factors including, but not limited to: skill sets, experience and training, licensure and certifications, geographic location, and other business and organizational needs. A reasonable estimate of the base salary range for this role is $130,000 - $160,000. In addition, the compensation package may include a discretionary bonus and other benefits, including health care benefits, retirement benefits, benefits permitting paid days off (including sick leave, parental leave, and paid time off or vacation benefits), and other benefits that must be reported for federal tax purposes. It is not typical for an individual to be hired at the top of this range.
Location type: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Data & Technology — team source
Department: Data & Technology
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Will you require sponsorship now or in the future?
From the employer’s application form
What you’ll work on
Full postingTriage pipeline failures to root cause and fix them
Add alerting, validation, retries, and schema-change handling to stop repeat failures
Maintain Python ETL jobs, dbt models in Snowflake, and Azure Data Factory pipelines
Build internal applications that replace SaaS vendors, spreadsheets, and manual processes
Work with business stakeholders to understand issue impact and confirm fixes
From the employer’s posting
Triage failures to root cause and fix them
adding the alerting, validation, retries, and schema-change handling that stop a whole class of failure from coming back
Python ETL jobs, dbt models in Snowflake, Azure Data Factory pipelines
Help build, ship, and run internal applications that replace SaaS vendors, spreadsheets, and manual processes.
Work directly with stakeholders across the business to understand the impact of an issue, keep them informed, and confirm the resolution actually solved their problem.
Tools in this posting
- Python
- SQL
- AWS
- Azure
- dbt
- GCP
- Snowflake
Source — Tool mentions in context
What you will be doing at Generate Capital as a Software Engineer, Data: - Own the day-to-day health of our data pipelines: Python ETL jobs, dbt models in Snowflake, Azure Data Factory pipelines, and the reports and system integrations that depend on them. - Triage failures to root cause and fix them, from vendor schema changes and API rate limits to failed model tests and broken dependencies.
- 2–3 years of professional software or data engineering experience. Exceptional new graduates with substantial shipped work will be considered. - Strong Python and SQL. - Experience building or operating software in a cloud environment. Azure is preferred; AWS or GCP experience is welcome.
- Strong Python and SQL. - Experience building or operating software in a cloud environment. Azure is preferred; AWS or GCP experience is welcome. - AI coding agents are already central to how you work, and you can walk us through your workflow in detail.
- Ability to translate business problems into technical solutions. - Experience with Snowflake and dbt is a plus. - Experience building internal tools or full-stack applications is a plus.
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 27, 2026 · 2 days ago
- Recorded sightings
- 3
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
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Job description
You are a builder who would rather fix the system than fix the same ticket twice. Generate's Data & Technology team runs the data platform the whole firm depends on, and we are increasingly replacing SaaS tools, spreadsheets, and manual processes with software we build ourselves. This role sits at the center of both: keeping our data pipelines healthy today and helping build the tools that come next. You're comfortable debugging code you didn't write, you enjoy working directly with the people who use what you build, and AI agents are already central to how you work.
What you will be doing at Generate Capital as a Software Engineer, Data:
Own the day-to-day health of our data pipelines: Python ETL jobs, dbt models in Snowflake, Azure Data Factory pipelines, and the reports and system integrations that depend on them.
Triage failures to root cause and fix them, from vendor schema changes and API rate limits to failed model tests and broken dependencies.
Work directly with stakeholders across the business to understand the impact of an issue, keep them informed, and confirm the resolution actually solved their problem.
Collaborate with the data team on fixes, code reviews, and releases.
Treat every recurring ticket as a design problem, adding the alerting, validation, retries, and schema-change handling that stop a whole class of failure from coming back.
Proactively find weaknesses in process, architecture, code quality, and security before they break, and drive the fix.
Help define and enforce repeatable patterns for quality and security across deployment, logging, testing, and secrets handling.
Help build, ship, and run internal applications that replace SaaS vendors, spreadsheets, and manual processes.
Sit with business stakeholders, translate their problems into requirements and prototypes, and turn those into working software.
Use AI coding agents as your default way of working, and share your workflows and tooling so the whole team gets faster.
Candidate qualifications & core characteristics:
A demonstrated passion for, or commitment to, our 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.
Experience building or operating software in a cloud environment. Azure is preferred; AWS or GCP experience is welcome.
AI coding agents are already central to how you work, and you can walk us through your workflow in detail.
Comfort debugging systems you didn't build, under time pressure, with incomplete information.
Ability to translate business problems into technical solutions.
Experience with Snowflake and dbt is a plus.
Experience building internal tools or full-stack applications is a plus.
Experience in financial services, energy, or another data-heavy environment is advantageous.
Unimpeachable integrity and glowing references.
Outstanding communication and interpersonal skills, including empathy, intuition, and listening as well as strong writing and documentation skills.
High level of self-awareness and humility, with excitement about confronting uncomfortable situations or new challenges.
Intellectual agility, curiosity, and creativity; problem-solving is your default mode.
Entrepreneurial spirit: flexibility, comfort with risk, recognition that “perfect can be the enemy of the good”.
This is a hybrid role based in San Francisco, CA.
Generate’s compensation packages are dependent on the facts and circumstances of each case. Salary decisions take into account a wide variety of factors including, but not limited to: skill sets, experience and training, licensure and certifications, geographic location, and other business and organizational needs. A reasonable estimate of the base salary range for this role is $130,000 - $160,000. In addition, the compensation package may include a discretionary bonus and other benefits, including health care benefits, retirement benefits, benefits permitting paid days off (including sick leave, parental leave, and paid time off or vacation benefits), and other benefits that must be reported for federal tax purposes. It is not typical for an individual to be hired at the top of this range.
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.
Source details
Source notes
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- Pay
This passage needs a closer read in the full description.
- Location & working pattern
San Francisco, CA, United States
- Entrepreneurial spirit: flexibility, comfort with risk, recognition that “perfect can be the enemy of the good”. This is a hybrid role based in San Francisco, CA. Generate’s compensation packages are dependent on the facts and circumstances of each case. Salary decisions take into account a wide variety of factors including, but not limited to: skill sets, experience and training, licensure and certifications, geographic location, and other business and organizational needs. A reasonable estimate of the base salary range for this role is $130,000 - $160,000. In addition, the compensation package may include a discretionary bonus and other benefits, including health care benefits, retirement benefits, benefits permitting paid days off (including sick leave, parental leave, and paid time off or vacation benefits), and other benefits that must be reported for federal tax purposes. It is not typical for an individual to be hired at the top of this range.
- Work authorization
This passage needs a closer read in the full description.
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