Data Platform Engineer
Description For Data Platform Engineer
One is revolutionizing financial services by creating an all-in-one platform to help customers achieve financial progress. As a Data Platform Engineer, you'll join a mission-driven company backed by Ribbit and Walmart, working on critical data infrastructure that powers advanced analytics and ML operations. You'll be responsible for designing and maintaining data pipelines, warehouses, and MLOps workflows using cutting-edge technologies like Databricks, Spark, and Python.
The role offers an opportunity to work with cross-functional teams, building scalable solutions that directly impact millions of Americans' financial lives. You'll be instrumental in transforming batch processes into real-time streaming solutions and establishing robust data governance practices. The position combines technical challenges with meaningful impact, as One works to address the needs of underbanked populations and simplify financial management.
Working at One means joining a high-growth fintech startup with the stability of major backing. The company offers competitive compensation ($130,000-$170,000), generous equity, and comprehensive benefits from day one. With a flexible remote work policy and strong emphasis on work-life balance, One provides an ideal environment for engineers who want to build impactful solutions while maintaining autonomy over their work schedule.
The ideal candidate brings 3-7 years of data platform experience, strong technical skills in Python, Spark, and SQL, and a passion for solving complex data challenges. If you're excited about using technology to democratize financial services and want to join a team that values ownership mentality and collaborative problem-solving, this role offers an excellent opportunity to make a significant impact.
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
- 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
- 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
- 401(k) plan with match
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