Principle Data Engineer

ABOUT OUR COMPANY:

The crushing weight of debt is something that we believe holds people back from reaching their dreams and making a splash in the world. So in 2013, after seeing our friends and family struggle with student loans, we created Splash Financial. 

Over the years, our mission has expanded to include helping people with other forms of debt - such as refinancing credit cards, which are at all time highs in the US. And we’ve been able to refinance $6+ Billion in loans through our network of Splash, powered credit union and bank partners who leverage our marketplace and automated loan processing technology. And we’ve raised over $135 million from investors like partners of DST Global, Citi Ventures, TruStage Ventures, Northwestern Mutual Future Ventures, Detroit Venture Partners, 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 and we’re just getting started..

ABOUT OUR WORKPLACE:

Splash is remote-first, and proud of it — though our collections team works in-person at our Arizona location.

We spend our days simplifying financial products and getting them into the hands of people who need them most. Right now, we’re focused on building financial technologies that fundamentally transform how the industry lends.

Although Splash has been around since 2013, we still operate like a startup — fast-paced, nimble, and full of heart. We’re good people who care deeply about doing meaningful work and we approach challenges with creativity, passion, and urgency.

And to hire the best, we provide the best: great health insurance, competitive salaries, and unique benefits like quarterly meet-ups and access to engagement tools that keep us connected — even from afar.

At Splash, everything we do is guided by our values:

Own It – We take full accountability and follow through on commitments.

Raise the Bar – We move fast, innovate faster, and push through barriers.

Say the Hard Thing – We speak up with honesty, respect, and a desire to solve problems and make things better.

Elevate Each Other – We win as a team by lifting each other up.

These values show up in how we work and how we connect — whether we’re collaborating on big projects or bonding over everyday moments. Yes, we even have Slack channels for #kids-and-pets and #food because we believe being human makes us better teammates.

ABOUT THE ROLE:

Splash Financial is seeking a highly skilled and experienced Principal Data Engineer to design and implement a scalable, reliable, and high-performance data platform. In this role, you will be responsible for developing data models, architecting robust big data systems, and ensuring scalability and fault tolerance across our data ecosystem.

The ideal candidate will have a strong background in data engineering, distributed systems, and cloud infrastructure, with a deep understanding of best practices in data modeling, system architecture, and data governance.

 

WHAT YOU’LL DO AT SPLASH:

• Design and implement end-to-end big data solutions that meet functional and non-functional requirements, focusing on scalability, reliability, and performance.
• Design logical and physical data models for structured, semi-structured, and unstructured data.
• Work closely with engineering, data science, product, and infrastructure teams to ensure seamless data flow and system interoperability.
• Optimize storage and processing layers for performance and cost-efficiency.
• Ensure high availability and disaster recovery for the data platform.
• Establish data governance standards including data quality, metadata management, and lineage tracking
• Conduct performance tuning and capacity planning for large-scale data environments.
• Evaluate and recommend tools, frameworks, and technologies to enhance the data ecosystem.
• Mentor junior data engineers and provide architectural guidance to cross-functional teams.

 

WHAT YOU’LL BRING TO SPLASH:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• 10+ years of experience in big data architecture and data engineering roles.
• Strong proficiency with big data technologies: Hadoop, Spark, Kafka, Hive, Presto, Flink, etc.
• Expertise in data modeling, warehousing solutions (e.g.Snowflake, Databricks, BigQuery), and distributed systems.
• Hands-on experience with cloud platforms (AWS preferred) and infrastructure-as-code (Terraform).
• Knowledge of data privacy and financial data compliance regulations.
• Excellent problem-solving and communication