0-3 years of experience in software engineering, data engineering, or a related field; exceptional new graduates considered.
Strong programming fundamentals and understanding of computer science principles.
Familiarity with systems design and interest in building scalable systems.
Data engineering experience is a plus; software engineers with data-adjacent experience are also welcome.
Background in computer science, mathematics, statistics, or data science is advantageous.
Strong collaboration skills and ability to work across teams.
Desire for personal growth and career advancement.
Responsibilities
Migrate existing data consumers to Triumph's new data warehouse.
Work on data warehouse architecture and supporting systems.
Partner with Data Science to implement data-driven solutions in production.
Build and enhance software systems to meet growing data needs.
Collaborate across teams to transform complex technical problems into production-ready solutions.
Benefits
Opportunity to work closely with engineering and data science teams.
Engagement with complex engineering problems in the data domain.
A culture that values curiosity, proactivity, and ownership of challenges.
Dynamic work environment with a focus on personal and professional growth.
In-office collaboration at Triumph's headquarters in San Francisco.
Full 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.
Our team gathers 5 days a week at Triumph's headquarters in San Francisco.
