Data Platform Engineer

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
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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 payments products to millions of customers. The role involves building and maintaining critical data infrastructure that powers advanced analytics and ML operations at scale.

You'll be responsible for designing and implementing data pipelines using cutting-edge technologies like Databricks, Spark, and Python. The position requires expertise in both streaming and batch processing, with a focus on creating reliable, secure, and scalable data architecture. You'll work closely with ML, AI, and analytics teams to enable data-driven decision-making across the organization.

The ideal candidate brings 3-7 years of experience in data platform engineering, with strong expertise in Apache Spark, Python, and SQL. You'll need experience with real-time streaming technologies and MLOps practices. The role offers competitive compensation ($130,000-$170,000), equity, comprehensive benefits, and the flexibility of remote work.

This is an opportunity to join a high-growth, mission-driven company that's tackling significant challenges in financial services. You'll be part of a team working to provide accessible financial services to tens of millions of unbanked and underbanked Americans, helping them save, spend, borrow, and grow their money more effectively.

Last updated 18 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 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

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

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