Splash Financial
Cleveland
51-200 employees
Our mission is simple: to help people save money on their student loans.
Prior Listings
Data Engineer
Data Engineer
This job is no longer open
Splash is a leading digital lending platform that helps borrowers easily shop and compare financial products from a Splash-powered network of lenders. By bringing credit unions and banks of all sizes into one shopping experience, and utilizing our proprietary automated underwriting platform, Splash aims to help people save thousands of dollars in interest payments.
Splash has raised over $60 million in venture capital, recently completing a $44 million Series B round from partners of DST Global, Citi Ventures, Detroit Venture Partners, CMFG Ventures and Northwestern Mutual Future Ventures. Over the past 18 months, Splash has tripled in size to around 170 people and we’re looking for incredibly talented and passionate team members to join in our mission to make people more powerful than their debt.
Team and Role:
Splash Financial's Data team builds the data infrastructure and platform for reporting, analytics, and machine learning. The Data team is part of the engineering organization and uses engineering fundamentals to build solutions that deliver excellent value for the Splash business teams in finance and marketing. As a Data Engineer, you work with cross-functional teams’ members, across business, product, engineering, machine learning, marketing, and other stakeholders, driving projects from conception to launch, to help the team leverage data and make better decisions for the Splash business. This role is fully remote, and the team operates on Eastern time zone.
Basic Qualifications:
Bachelor’s degree or equivalent required from an accredited institution.
At least 4+ years of experience in data engineering, software engineering, data analytics, or machine learning.
Strong experience working with cloud data platforms.
Experience with the full software development lifecycle including requirements gathering, design, implementation, testing, deployment, and iteration.
Strong ability to debug, write, and optimize SQL queries.
Strong ability to document, diagram, and deliver detailed presentations on solutions.
Experience working with both structured and semi-structured data .
What you'll do:
Collaborating closely with analysts, products managers, marketers, and finance analysts to deeply understand their problems and goals, and then design and prioritize solutions to help achieve those goals.
Enable 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.
Architect, build, and launch efficient & reliable data models and pipelines in partnership with BI Engineering and Data Scientists.
Recommend, develop, and implement best practices for data integration, data ingestion, automated testing, data modeling, and data quality.
Preferred Qualifications:
Experience building efficient data integrations with multiple sources including event streams, APIs, relational databases, and cloud object stores.
Experience with real-time and near real-time data sources.
Expertise in building data solutions using modern programming and query languages (Python, Closure, Scala, Java, R, SQL, etc.).
Expertise in cloud data warehousing, preferably Snowflake.
Experience writing automated tests for data quality and consistency.
Experience building and optimizing data models with tools like dbt or Spark.
Employment at Splash is based on individual merit. Opportunities are open to all, without regard to race, color, religion, sex, creed, age, handicap, national origin, ancestry, military status, veteran status, medical condition, marital status, sexual orientation, affectional preference, or other irrelevant factors. Splash is an equal opportunity employer.
This job is no longer open