Data Platform Engineer

One is a fintech company backed by Ribbit and Walmart, focused on helping customers achieve financial progress through simple solutions for saving, spending, borrowing, and growing money.
$130,000 - $170,000
Data
Mid-Level Software Engineer
Remote
51 - 100 Employees
3+ years of experience
Finance

Description For Data Platform Engineer

One is revolutionizing financial services with a mission to help customers achieve financial progress. Backed by prominent fintech investor Ribbit and Walmart, we're creating an all-in-one platform for saving, spending, borrowing, and growing money. As a Data Platform Engineer, you'll join our growing team to build and maintain critical data infrastructure that powers our analytics and AI capabilities. You'll work with cutting-edge technologies like Databricks, Spark, and Python to design and implement robust data pipelines. The role offers competitive compensation ($130,000-$170,000), equity options, and full remote flexibility. You'll be instrumental in building systems that help millions of Americans access better financial services. We're looking for someone with 3-7 years of experience who can drive our data strategy while maintaining high standards of reliability and security. Join us in our mission to transform financial services and make a real impact on people's lives.

Last updated a month ago

Responsibilities For Data Platform Engineer

  • Design, implement, and maintain robust streaming and batch data pipelines using Databricks, Spark, and Python
  • Ensure data infrastructure is reliable, secure, and scalable
  • Monitor, troubleshoot, and proactively improve data infrastructure
  • Build and optimize data platforms and warehouses
  • Assist in the re-architecture of batch pipelines to streaming pipelines
  • Collaborate with data scientists and analysts
  • Establish and maintain MLOps workflows
  • Drive feature engineering and create systems to stage and serve features for machine learning

Requirements For Data Platform Engineer

Python
Kafka
  • 3-7 years of experience in software engineering for a data platform
  • Expertise in Apache Spark for large-scale data processing
  • Advanced knowledge of production-level Python
  • Strong SQL skills for data manipulation and ETL processes
  • Experience with real-time streaming technologies such as Kafka or Kinesis
  • Familiarity with MLOps practices and workflows
  • Strong problem-solving skills
  • An 'act-like-an-owner' mentality

Benefits For Data Platform Engineer

401k
Equity
  • Competitive cash
  • Benefits effective on day one
  • Generous stock option packages
  • Remote friendly (anywhere in the US)
  • Flexible time off programs
  • Vacation
  • Sick leave
  • Paid parental leave
  • Paid caregiver leave
  • 401(k) plan with match

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