Software Engineer, Data

Palo Alto, CA

Gen Z is the generation of the side hustle. 💪🏻 They’re creators. 👩‍🎤 They’re freelancers. 🧑‍💻 They’re investors. 👩‍💼 And they’re not afraid to take on challenges, especially when it comes to their finances - and we’re here for it.

Step is a next-generation financial services company building a better banking experience to help teens and young adults achieve financial independence and knowledge at an earlier age. We’re on a mission to improve the financial future of the next generation and empower teens to start their financial journey today. Step is a well-funded Series C company that has raised more than $175M, focused on disrupting the banking industry through a differentiated mobile-first consumer experience.

Teens and families love our product. We eclipsed 1 million customers in just four months after launch and have now crossed 2 million customers after less than 9 months on the market. If you’re looking to join a fast-growing company with a strong mission and vision that puts people first, we want to meet you!

Step is a next-generation financial services company building a better banking experience to help teens and young adults achieve financial independence and knowledge at an earlier age.

We’re on a mission to improve the financial future of the next generation and empower teens to start their financial journey. Step is a well-funded Series C company that has raised more than $175M, focused on disrupting banking through a differentiated mobile-first consumer experience.

We eclipsed 1.5 million customers just four months after launch. If you’re looking to join a fast-growing company with a strong mission and vision that puts people first, we want to meet you.

The Role

Step is looking for an experienced Software Engineer working on all data related projects: data pipelines, data science and data analytics projects.

Things You Will Work On

  • Build and scale systems to retrieve, process and make available internal and external datasets.
  • Design and build data queries and visualizations to support product and operational activities.
  • Troubleshoot technical issues with platforms, data discrepancies, alerts etc
  • Perform ad hoc analysis, insight requests, and data extractions to resolve critical business issues

Responsibilities

  • Build and implement data solutions to help drive strategic business decisions.
  • Leverage both new and existing data to increase the effectiveness and efficiency of our risk infrastructure.
  • Specify, design, build and test data processing software.
  • Build, test and monitor data retrieval and cleansing pipelines.
  • Partner with operations to quickly respond to rapidly evolving events.
  • Help build the next generation of data products at Step.

Ideal Candidate Would Have

  • 3+ years experience in software engineering, ideally in data-intensive systems.
  • A graduate degree in computer science or equivalent professional experience.
  • Ability to communicate clearly with both technical and non-technical audiences.
  • Excellent data analysis skills.
  • Bias towards simple solutions that work.
  • Preferred: experience working on financial systems, fraud and risk modeling.
  • Preferred: experience developing and deploying machine learning / deep learning solutions.

Working at Step

  • Competitive salary based on experience, with full medical and dental benefits 💸
  • High potential for growth 📈
  • Stock in an early-stage startup 🤩
  • Flexible WFH and vacation policy 🏝
  • Employee referral program 👯‍♀️👯
  • Monthly stipend for Step Card testing ☕️
  • 401K plan 💪🏻

Working at Step

  • Competitive salary based on experience, with full medical and dental benefits 💸
  • High potential for growth 📈
  • Stock in an early-stage startup 🤩
  • Flexible WFH and vacation policy 🏝
  • Employee referral program 👯‍♀️👯
  • Monthly stipend for Step Card testing ☕️
  • 401K plan 💪🏻

The team

Step was founded by financial industry veterans CJ MacDonald and Alexey Kalinichenko to provide teens and their families with financial tools for today’s modern-day banking needs and to promote financial literacy for the future. The founding team has 50+ years in combined financial technology experience across companies like Gyft, First Data, Square and Google.

About the team