Data Platform Engineer

December 19, 2024

Apply Now

Receive Emails with Similar Jobs

ONE

WebsiteLinkedInAll Job Openings

ONE is a financial technology company that focuses on providing innovative banking services through a mobile application. Although not a traditional bank, ONE offers various banking services in partnership with Coastal Community Bank. The company's offerings include cash back rewards, credit building tools, early direct deposit options, and high-yield savings accounts. ONE also features a digital wallet for shopping benefits, especially at Walmart. With an emphasis on user-friendly online banking, ONE aims to help customers take control of their credit, manage their finances, and earn rewards without the typical fees associated with traditional banks.

201 - 500 employees

💳 Fintech

📋 Description

• One’s mission is simple - to help customers achieve financial progress. • We’re doing this by creating simple solutions to help our customers save, spend, borrow, and grow their money – all in one place. • The U.S. consumer today deserves better. Millions of Americans today can’t access credit, build savings or wealth, and are left to manage their financial lives through multiple disconnected apps. • Almost a quarter of U.S. adults are unbanked or underbanked and roughly 80% of fintech users rely on multiple accounts to manage their finances. • We are seeking a skilled and experienced Software Engineer for our growing Data Platform team. • You will be responsible for designing, developing and maintaining our data infrastructure, including data pipelines and data warehouses. • This role will play a pivotal part in driving our data strategy, enabling advanced analytics, and supporting Machine Learning operations at scale.

🎯 Requirements

• 5+ years of experience in software engineering for a data platform or a similar role. • 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, including feature engineering, model training, and serving. • Preferred: Proficiency in Databricks for managing data pipelines and analytics workflows, Infrastructure as Code (IaC), Terraform or AWS preferred. • Strong problem-solving skills and the ability to work collaboratively in cross-functional teams. • An “act-like-an-owner” mentality with a bias toward taking action.