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
3+ years of experience
Finance

Description For Data Platform Engineer

One is an innovative fintech company on a mission to revolutionize financial progress for customers. Backed by prominent investors Ribbit and Walmart, we're building comprehensive solutions for saving, spending, borrowing, and wealth management – all unified in a single platform.

As a Data Platform Engineer, you'll be at the forefront of our data infrastructure development. This role combines technical expertise in data engineering with the excitement of working in a high-growth fintech environment. You'll be responsible for designing and implementing robust data pipelines, ensuring data security and scalability, and supporting our AI and ML initiatives.

The ideal candidate brings 3-7 years of experience in data platform engineering, with strong expertise in Python, Apache Spark, and SQL. You'll work with cutting-edge technologies like Databricks and Kafka, while collaborating with cross-functional teams to drive data-driven decision-making.

What makes this opportunity unique is the chance to join a well-funded startup that maintains the agility of a new venture while backed by industry giants. You'll have the freedom to work remotely anywhere in the US, with competitive compensation ($130,000-$170,000), generous equity, and comprehensive benefits starting day one.

This role is perfect for someone who wants to make a real impact in financial technology while working with a world-class team. You'll be instrumental in building the infrastructure that helps millions of Americans achieve better financial outcomes. If you're passionate about data engineering and want to be part of a mission-driven company that's reshaping financial services, this is your opportunity to make a difference.

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 compensation
  • Benefits effective on day one
  • Generous stock option packages
  • Remote friendly work environment
  • Flexible time off programs
  • Vacation and sick leave
  • Paid parental leave
  • Paid caregiver leave

Interested in this job?

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