Data Platform Engineer

One is a fintech company backed by Ribbit and Walmart, creating simple solutions to help customers save, spend, borrow, and grow their money in one place.
$130,000 - $170,000
Data
Mid-Level Software Engineer
Remote
101 - 500 Employees
3+ years of experience
Finance

Description For Data Platform Engineer

One is on a mission to revolutionize financial progress for customers by creating an all-in-one platform for saving, spending, borrowing, and growing money. Backed by prominent fintech investor Ribbit and retail giant Walmart, One combines startup agility with world-class talent to address the critical needs of millions of Americans who struggle with traditional banking access.

As a Data Platform Engineer, you'll join our growing Data Platform team to shape the company's data infrastructure. This role is crucial in developing and maintaining sophisticated data pipelines and warehouses that power our analytics and AI operations. You'll work at the intersection of data engineering and machine learning, ensuring our infrastructure supports advanced analytics and real-time decision-making.

The position offers a competitive salary range of $130,000 to $170,000, along with comprehensive benefits including equity options, flexible remote work, and a 401(k) match. You'll be part of a team that values innovation and ownership, working on challenging problems that directly impact financial accessibility for millions of users.

The ideal candidate brings 3-7 years of relevant experience, with strong expertise in Python, Apache Spark, and SQL. You'll need to demonstrate proficiency in building scalable data solutions and working with streaming technologies like Kafka. This role offers an exciting opportunity to contribute to a mission-driven company while working with cutting-edge data technologies and MLOps practices.

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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