Staff Software Engineer, Data & AI

Sofi
CA - San Francisco; WA - Seattle; UT - Cottonwood HeightsPosted 24 February 2026

Job Description

<div class="content-intro"><p><a href="https://www.sofi.com/sofi-employee-applicant-privacy-notice/" target="_blank"><strong>Employee Applicant Privacy Notice</strong></a></p> <p><strong>Who we are:</strong></p> <div> <p>Shape a brighter financial future with us.</p> <p>Together with our members, we’re changing the way people think about and interact with personal finance.</p> <p>We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. <strong>Join us to invest in yourself, your career, and the financial world.</strong></p> </div></div><p>SoFi is seeking an experienced and motivated Staff Software Engineer to be part of our Data Platform group within the Data Enablement division. The mission of the Data Enablement division is to activate data throughout SoFi, enabling the creation of personalized and delightful experiences for our customers. </p> <p>As a Staff Software engineer, you will help achieve the vision and strategy to build foundational and critical data platform products which are highly leveraged across SoFi for analytical, reporting, AI/ML use-cases that will drive teams to perform self serve analytics, gain insights and increase data driven decisions for all of sofi products</p> <p><strong>About the Role</strong>: </p> <ul> <li>This role is for a talented, enthusiastic, detail-oriented and experienced Software Engineer with a proven track record of taking on big challenges in an agile way.</li> <li>You’ll be at the heart of SoFi’s data platform, acting as a leader and a force multiplier for critical initiatives across Semantic Layer, BI analytics, AI usecases, Operational experience enhancements expanding crucial knowledge in the team.</li> <li>You’ll act as a subject matter expert for data platform capabilities that can be leveraged across SoFi for analytical, reporting, ML/AI self-service use-cases.</li> <li>This role requires you to live at the cross section of data and software engineering collaborating between Product, Design, and Engineering, so you’ll be involved in the entire product lifecycle from ideation to building, deploying, and continuously improving.</li> <li>The ideal candidate is both forward-thinking and hands-on, and has a strong sense of ownership and delivery.</li> <li>You’ll mentor technical team members in best practices for Snowflake, Databricks, Airflow, dbt, and AWS data services, promoting a culture of technical distinction and innovation.</li> <li>Plus, you’ll be working alongside a team of talented engineers.</li> </ul> <p><strong>What you’ll do: </strong></p> <ul> <li>Drive technical architecture, design decisions and cross-functional discussions for the SoFi Data platform products</li> <li>Lead and oversee the full SDLC, from project requirements to deployment following ​​best practices and uphold coding standards.</li> <li>Generate ideas for new initiatives and technologies, and deliver timely results in a fast-paced and sometimes ambiguous environment.</li> <li>Build and optimize Operational experience for systems and processes and be part of an on-call team rotation to support the SoFi Data Platform capabilities </li> <li>Collaborate with cross-functional teams to understand requirements, influence best practices upstream and down, and deliver solutions that meet business needs. </li> <li>Effectively communicate complex technical concepts and trade offs mapping industry patterns and best practices to solve novel problems for technical/non-technical stakeholders verbally and in well written documentation. </li> <li>Monitor project performance against defined milestones and goals.</li> <li>Provide technical leadership, mentorship and st ... (truncated, view full listing at source)
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