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Employee Applicant Privacy Notice
Who we are:
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
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. Join us to invest in yourself, your career, and the financial world.
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.
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
About the Role:
- 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.
- 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.
- 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.
- 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.
- The ideal candidate is both forward-thinking and hands-on, and has a strong sense of ownership and delivery.
- 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.
- Plus, you’ll be working alongside a team of talented engineers.
What you’ll do:
- Drive technical architecture, design decisions and cross-functional discussions for the SoFi Data platform products
- Lead and oversee the full SDLC, from project requirements to deployment following best practices and uphold coding standards.
- Generate ideas for new initiatives and technologies, and deliver timely results in a fast-paced and sometimes ambiguous environment.
- 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
- Collaborate with cross-functional teams to understand requirements, influence best practices upstream and down, and deliver solutions that meet business needs.
- 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.
- Monitor project performance against defined milestones and goals.
- Provide technical leadership, mentorship and strategic guidance to the team, fostering a culture of continuous learning, innovation, and excellence.
- Contribute to hiring and training efforts to build a skilled and motivated engineering workforce.
What You'll Need:
- A bachelor’s degree in computer science, Data Science, Engineering, or a related field.
- Over 10 years of hands-on experience in software/data engineering with a proven track record of successfully building data systems and platforms.
- Strong programming skills ideally on a modern stack including but not limited to Python, SQL
- Experience in a collaborative coding environment, refining designs together, navigating code reviews, and managing pull requests.
- Broad proficiency in database platforms and significant experience with cloud data warehouse platforms such as Snowflake, and familiarity with others like Redshift, or Google BigQuery
- Strong analytical and problem-solving abilities, with the capability to simplify complex issues into actionable plans with a detail-oriented approach to your work.
- Thorough knowledge and passion around system design and data architecture principles
- Experience with data tools like Snowflake/GitLab/AWS/Airflow/DBT /Tableau, Power BI etc
- Experience in building/deploying resources using Infrastructure as Code - IaC tools (like Terraform)
- Knowledge in analytics, metrics, and monitoring integrations.
- Excellent communication skills, with the ability to effectively convey technical concepts to both technical and non-technical audiences.
Nice to Haves:
- Experience integrating Large Language Models (LLM) into products
- Good understanding of AI and its usage
- Experience in a highly regulated and governed sector, though the Fintech industry is advantageous.
Compensation and Benefits
The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.
To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.The Company hires the best qualified candidate for the job, without regard to protected characteristics.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.New York applicants: Notice of Employee RightsSoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email [email protected].Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.Internal Employees
If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.
SoFi San Francisco, California, USA Office
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Our new headquarters opened in 2019. The office provides an open work environment, an all-hands area, a café, library, coffee points on every floor, and executive conference rooms. The game room and roof-top lounge area provide space to take a break and look at the incredible downtown view.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
