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Software Engineer, Data

San Francisco, CA - Hybrid · San Francisco, CA, United States

Actively hiring, first seen by us 8 days ago
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

New graduates
Open to new graduatesExceptional new graduates with substantial shipped work will be considered
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 posting
  • Triage 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.
Apply at Generate

Posting record

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Actively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 27, 20268 days ago
Recorded sightings
10
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$130K–$160K against $127K–$190K, the middle half of what similar US postings state.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 8

Similar jobs usually come down between day 6 and day 54.

From 11,028 similar postings that came down. Coming down is not always a hire.

Generate is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Azure
  • dbt
  • GCP
  • Snowflake
Where the posting names them
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.

Your next step

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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

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Pay

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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.
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