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About Finix
Finix is building the global operating system for fintech, starting with payments. From startups to publicly traded companies, Finix processes tens of billions of dollars annually both in-store and online. Finix was founded in 2015 and is headquartered in San Francisco.
To date Finix has raised over $200M, including a $75M Series C led by Acrew Capital and Lightspeed Venture Partners and backed by American Express Ventures, Bain Capital Ventures, Homebrew, Inspired Capital, Visa, and others
About the Role
Finix’s reporting cluster is the source of truth for operational metrics, customer-facing reports, billing, actionable insights, and a host of business-critical KPIs. As a Data Engineer in the Data Engineering team, you will own the tooling, frameworks, data pipelines, integrations, databases, schemas and the data integrity of this cluster. You are critical to both Finix, and our customers, in supplying the data that underpins key operations decisions, uncovers hidden issues, and powers insight through reports, analytics, and dashboards owned and managed by the Data Engineering team. Our operations teams will depend on you to find, source, prepare and supply the right data allowing them to run Finix. Our product team will depend on you to serve the right data quickly and reliably to our customers so they can make timely business decisions. Data Analysts will rely on you to source and channel data where it needs to be and how it needs to be organized to power daily operations and decisions.
You will
- Enable our operations team to make data-driven decisions based on timely, consistent, complete, and correct data, reports, and analytics
- Work closely with engineering team members to build reporting and analytics infrastructure, solving our and our customer’s analytics needs
- Delight our customers by providing leading reporting and analytics capabilities supporting their operations and accounting teams
- Be the subject matter expert in all things data pipelines, data lakes and warehouse, tooling & frameworks, integration and sourcing of data
- Design, build and maintain all code, pipelines, schemas, databases and frameworks that power Finix’s data analytics and reporting capabilities
You are
- Detail-oriented, with a healthy dose of mistrust, driving you to investigate even the slightest data discrepancy
- Thrive in a fast-paced environment around common goals and priorities but able to self-direct and problem solve with others to make progress
- Fast learner of new languages, tools & frameworks. You are willing to go wherever necessary to accomplish your goals even if you haven’t been there before.
- Curious about new approaches and pushing the boundaries of what exists.
You have
- 6+ years of experience in a Data Engineering, ETL, Data Science or related role
- Expert knowledge of SQL, data modeling, Python and frameworks such as Spark, Storm, Airflow, Glue etc. Java would also be great
- B.S in computer science, mathematics, statistics, physics, or a related data field
- Experience with BI tools such as Looker, Sisense, Superset, Tableau
Finix San Francisco, California, USA Office
71 Stevenson Street, San Francisco, CA, United States, 94105
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
