Principal Data Engineer

Splash Financial

Cleveland, OH, United States
Base: $220,000 to $235,000 annually; bonus: eligib...
On-site
10+ years big data architecture experience
Expertise in hadoop spark kafka hive presto flink
Cloud platform aws and terraform infrastructure
Splash Financial is seeking a Principal Data Engineer to design and implement a robust data platform aimed at transforming the financial lending industry. The ideal candidate will have extensive experience in big data technologies, system architecture, and cloud infrastructure, and be aligned with the company's mission to empower individuals to overcome debt

Job Summary

  • Splash Financial is seeking a Principal Data Engineer to design and implement a scalable, reliable, and high-performance data platform.
  • The role involves mentoring junior engineers, establishing data governance standards, and optimizing storage and processing layers for performance.
  • Employees enjoy fully remote work freedom, competitive salaries, equity, and unique benefits like quarterly meet-ups and paid subscriptions to AI tools.

Matching Summary

Match Score: 85

Splash Financial is seeking a Principal Data Engineer to design and implement a robust data platform aimed at transforming the financial lending industry. The ideal candidate will have extensive experience in big data technologies, system architecture, and cloud infrastructure, and be aligned with the company's mission to empower individuals to overcome debt.

Salary

Base: $220,000 to $235,000 annually; Bonus: Eligible for individual and company performance bonus; Benefits: Equity, comprehensive insurance, flexible PTO, and paid parental leave

Skills & Requirements

Must-have

  • 10+ years big data architecture experience
  • Expertise in Hadoop Spark Kafka Hive Presto Flink
  • Cloud platform AWS and Terraform infrastructure
  • Snowflake Databricks BigQuery warehousing solutions
  • Data modeling for structured semi-structured unstructured data

Nice-to-have

  • Experience in lending or credit industry
  • Familiarity with MLOps tools like MLflow Kubeflow
  • Knowledge of real-time analytics capabilities
  • Strong problem-solving and communication skills
  • Ability to work in a fast-paced startup environment

Key Requirements

  • Bachelor's or Master's degree in Computer Science or related field
  • 10+ years of experience in big data roles
  • Hands-on experience with cloud platforms and infrastructure-as-code

Work Rights

Not specified

Tailored Resume

Cover Letter