Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Data Engineer
San Francisco, California, United States
Actively hiring, first seen by us 2 hours ago- Pay
$400/mo — pay source
High energy. Passionate team who are proud of our work and velocity (16x year over year growth). Competitive salary and benefits. $400/mo lunch credit, healthcare, vision, dental, 401k, etc. Our team gathers 5 days a week at Triumph's headquarters in San Francisco.
Read the full posting- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: FullTime
From the employer’s posting
Before you apply
- New graduates
- Open to new graduates
Exceptional new graduates will also be considered
What you’ll work on
Full postingYou'll work closely with our engineering and data science teams, helping build and improve the systems that power our products.
From the employer’s posting
You should be excited by the prospect of working on complex engineering problems in the data domain, learning how large-scale data systems work, and continuously looking for more responsibility to take on. Being a Data Engineer at Triumph is both demanding and rewarding. You'll work closely with our engineering and data science teams, helping build and improve the systems that power our products. Your scope will cover (but not be limited to): Responsibilities
What you’ll bring
All qualificationsCore experience
- 0–3 years of experience in software engineering, data engineering, or a related technical field.
- Familiarity with systems design and an interest in building scalable systems.
Qualification wording
0–3 years of experience in software engineering, data engineering, or a related technical field. Exceptional new graduates will also be considered.
Familiarity with systems design and an interest in building scalable systems.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 13, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 6 and day 56.
From 13,649 similar postings that came down. Coming down is not always a hire.
Triumph is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.
Your next step
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
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- No account needed. “Autofill from resume” at the top of the form fills the key fields from your file.
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Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 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
The Role
The right candidate is passionate about building and has the ability and agency to drive projects to completion.
You should be excited by the prospect of working on complex engineering problems in the data domain, learning how large-scale data systems work, and continuously looking for more responsibility to take on.
Being a Data Engineer at Triumph is both demanding and rewarding. You'll work closely with our engineering and data science teams, helping build and improve the systems that power our products. Your scope will cover (but not be limited to):
Responsibilities
Migrating existing data consumers to Triumph's new data warehouse.
Working on data warehouse architecture and the systems that support it.
Partnering with Data Science to help bring data-driven solutions into production.
Building and improving software systems to support Triumph's growing data needs.
Working across teams to take complex technical problems from idea to production.
Above all, we hire people for their slope, who are willing to match the pace and energy of the growth curve of the company. We're looking for someone curious, proactive, and excited to take ownership of challenging problems.
Qualifications
0–3 years of experience in software engineering, data engineering, or a related technical field. Exceptional new graduates will also be considered.
Strong programming fundamentals and understanding of computer science principles.
Familiarity with systems design and an interest in building scalable systems.
Data engineering experience is a plus, but not required. We will also consider software engineers with data-adjacent experience or a strong interest in working in the data domain.
Background in computer science, mathematics, statistics, or data science is a plus.
Strong collaboration skills and the ability to work across teams.
A strong personal slope and desire to grow one's career.
Why Triumph?
High growth. Build a high-scale consumer platform that touches gaming, finance, and social.
High agency. Small, high-impact engineering team that is growing rapidly with significant opportunity for growth.
High energy. Passionate team who are proud of our work and velocity (16x year over year growth).
Competitive salary and benefits. $400/mo lunch credit, healthcare, vision, dental, 401k, etc.
Our team gathers 5 days a week at Triumph's headquarters in San Francisco.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
High energy. Passionate team who are proud of our work and velocity (16x year over year growth). Competitive salary and benefits. $400/mo lunch credit, healthcare, vision, dental, 401k, etc. Our team gathers 5 days a week at Triumph's headquarters in San Francisco.
- Location & working pattern
San Francisco, California, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.