Data Engineer

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):

• 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.

• 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.

• 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.