Data Engineer

Triumph
San Francisco HQ, US
On-siteCareer-pivot friendly

Who this role is best for

Strong fit for candidates with software engineering or data-adjacent experience who are excited about building scalable systems and working in a fast-growing, collaborative environment.

Best fit for

  • Individuals with a background in computer science, mathematics, or statistics and a curiosity for data systems
    — “Background in computer science, mathematics, statistics, or data science is a plus”
  • Candidates who thrive in a high-impact, small-team setting with a focus on rapid growth and execution
    — “High agency. Small, high-impact engineering team that is growing rapidly with significant opportunity for growth”

Things to consider

  • The role requires a commitment to in-office work at Triumph's San Francisco headquarters.
    — “Our team gathers 5 days a week at Triumph's headquarters in San Francisco”
  • The position is full-time and aligns with a high-energy, high-growth company trajectory.
    — “High energy. Passionate team who are proud of our work and velocity (16x year over year growth)”

How to stand out

  • Emphasize your experience with systems design and your ability to take ownership of projects from concept to completion.
    — “working across teams to take complex technical problems from idea to production”
  • Highlight your proactive attitude and willingness to grow with the company's trajectory.
    — “we hire people for their slope, who are willing to match the pace and energy of the growth curve of the company”
  • Showcase your ability to collaborate with cross-functional teams, especially data science and engineering.
    — “Working closely with our engineering and data science teams, helping build and improve the systems that power our products”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • migrating data consumers to a new data warehouse
  • improving data warehouse architecture
  • supporting data-driven solutions
Typical background
software engineeringdata engineeringcomputer science

Skills & requirements

Required

Software-engineeringData-engineeringSystems-designCollaboration

Preferred

Data-warehouseData-scienceScalabilityProblem-solving

Stack & domain

Data EngineeringSoftware EngineeringData Warehouse ArchitectureData-driven SolutionsScalable SystemsSystems DesignProgramming FundamentalsComputer Science PrinciplesCollaborationProblem-solvingCuriosityProactivityOwnershipFinanceGamingSocial

About the role

Original posting from Triumph via Ashby

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: Triumph careers (Ashby)

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