Our Portfolio Companies Are Growing.

Find your dream startup job and help us move the world.

Staff Data Engineer

Splash Financial

Splash Financial

Software Engineering, Data Science
Posted on Thursday, December 14, 2023

About Our Company:

We got tired of seeing our friends and family struggle under the crushing weight of student loans. So in 2013, we did something about it. We made a marketplace filled with banks and credit unions looking to help student borrowers. We used that network to help people shut out of refinancing find a way in. And we did it all from a tiny office in Cleveland, OH. In other words: we built Splash Financial.
Today, we’ve become a national leader with over $6 billion in refi requests. We’re expanding into technologies like machine learning, and automated underwriting that helps us match consumers to great offers — right from their phone. And we’ve raised over $70 million from investors like DST Global, Citibank, Northwestern Mutual, DVP, CMFG Ventures and more. But at our core, we’re still that little company from Cleveland with a big dream: to make people more powerful than their debt.

About Our Workplace:

Splash is remote-first, and proud of it. We spend our days creating ways to simplify financial products, then get them into the hands of people who need help. Right now, we’re focused on developing financial technologies that fundamentally change the way the industry lends. And before you ask: no, we’re not a crypto thing. And to hire the best, we provide the best: great health insurance, competitive salaries, and unique benefits like quarterly meet-ups, access to community and engagement tools. And although we’ve been around since 2013, we still love to think like a start-up — a place that empowers good people to do great things, fast. We’re friendly, folksy, and have Slack channels for both major league sports and minor league anime.
Also: we sometimes have free t-shirts.

About the Role:

We are actively seeking a skilled Analytics Engineer to join our dynamic team. You’ll be collaborating closely with analysts, data engineers, product managers, marketers, and financial analysts to deeply understand their problems and goals, and then design and prioritize solutions to help achieve those goals. If you have an interest in leading the strategy and execution of our analytics roadmap with the goal of scaling our data products to be more accessible, self-serve, reliable, and digestible for all employees across the company, this role will be a great opportunity to make a big impact on Splash!

What you'll do at Splash:

  • Architect, build and launch efficient & reliable data models and pipelines in partnership with Data Engineering
  • Recommend, develop and implement best practices for reporting, analytics, and generation of key metrics needed to report on the productivity and business performance
  • Work in a fast-paced, creative atmosphere to develop new ideas that adapt to evolving user needs
  • Support User Acceptance Testing by addressing any technical queries or fixing the bug
  • Ability to develop and generate reports and dashboards as required by business stakeholders using Sigma
  • Monitor and report on KPIs that measure the success of our data products

What you'll bring to Splash:

  • Bachelor’s degree or equivalent required from an accredited institution
  • Strong visual and verbal communication skills. Excellent communication skills and analytical skills
  • Experience working with financial and/or marketing data is a huge plus
  • Strong 5+ years’ experience working on BI tools like Tableau, PowerBI, Sigma, Sisense, etc. Strong hands-on experience with reporting is a major plus
  • Proven experience working on data and data modeling (very strong in SQL, and visualization skills) and experience working with data modeling tools like DBT
  • Understanding of data transformation using a programming language like Python, Scala, etc.
  • Experience with GitHub and CI/CD process is a must-have
  • At least 5-10 years of experience in Information Technology especially with data modeling, data warehousing in Cloud, SQL, Snowflake, etc.


  • Comprehensive and affordable insurance benefits
  • Unlimited paid time off policy
  • 401(k)
  • 9 paid company holidays
  • Paid parental leave