Data Platform Engineer

Consumer financial services app helping people achieve financial progress through banking, credit, and payment products.
United States
$130,000 - $170,000
Data
Mid-Level Software Engineer
Remote
101 - 500 Employees
3+ years of experience
Finance · Enterprise SaaS · Consumer

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 Databricks, Spark, and Python, ensuring the infrastructure is reliable, secure, and compliant with industry standards. Working closely with ML, AI, and analytics teams, you'll help enable data-driven decision-making across the organization. The position requires expertise in data processing, streaming technologies, and MLOps practices.

This is an excellent opportunity for a mid-level engineer with 3-7 years of experience to make a significant impact in a high-growth environment. You'll work on challenging problems while helping build financial products that serve tens of millions of Americans who are currently unbanked or underbanked. The company offers competitive compensation, including base salary between $130,000-$170,000, stock options, and comprehensive benefits.

The role combines technical challenges with meaningful impact, allowing you to work on cutting-edge data infrastructure while contributing to OnePay's mission of financial inclusion. You'll be part of a team that's building a category-defining business, backed by industry leaders and positioned for significant growth in the fintech space.

Last updated 6 minutes 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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