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Data Platform Engineer

OnePay is a consumer financial services app helping people achieve financial progress through banking, credit, and payment products.
$130,000 - $170,000
Data
Mid-Level Software Engineer
Remote
101 - 500 Employees
3+ years of experience
Finance · Enterprise SaaS
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Description For Data Platform Engineer

OnePay is revolutionizing consumer financial services with a mission to help people achieve financial progress. As a Data Platform Engineer, you'll join a company backed by Walmart and Ribbit Capital, focusing on providing accessible banking, credit, and payment solutions to millions of customers. The role involves building and maintaining critical data infrastructure that powers advanced analytics and machine learning operations at scale. You'll work with cutting-edge technologies like Databricks, Spark, and Python to create robust data pipelines, ensure data security, and enable real-time processing capabilities. The position offers competitive compensation ($130,000-$170,000), equity, comprehensive benefits, and the flexibility of remote work. This is an opportunity to make a significant impact in a high-growth environment while working on challenging technical problems that directly affect financial inclusion and accessibility. The ideal candidate will bring 3-7 years of relevant experience and strong expertise in data engineering technologies, combining technical excellence with a collaborative mindset to help build scalable data solutions that power OnePay's mission-critical services.

Last updated 15 days 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 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

Medical Insurance
401k
Equity
  • Competitive base salary and stock options
  • Health benefits from Day 1
  • 401(k) plan with company match
  • Flexible time off (FTO)
  • Remote-friendly (US)

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