Senior Software Engineer - Data Infrastructure

Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2024 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team?

Flex is seeking Engineers to join the Data Infrastructure team that is shaping the future of the finance data platforms. The Data Infrastructure team is committed to building a scalable modern data platform on Flex’s current and future financial products with a cutting-edge, forward-thinking mindset. Our goals are to empower all facets of the business with Machine Learning and Business Intelligence and to improve the end-users ability to better utilize our data. The impact is beyond reporting and analytics, our team's tools have a direct influence on the growth and strategy of Flex’s future direction. As a company, Flex has a culture of data-driven decision-making and demands data that is timely, accurate, and actionable

What You’ll Do

• Design, implement and maintain high-quality online/office/near-line data infrastructure service, such as Kafka, Logging service, Data access layer, and Data lake to support all teams in Flex
• Significant, practical software engineering experience building fault-tolerant, distributed, scalable, and secure applications that are easy to support and extend 
• Create efficient scalable real-time streaming pipelines and off-line ETL pipelines
• Continuously improving data operations: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
• Design, implement, and support a platform providing secured access to large datasets
• Sound judgment, relevant data, and an open mind to help you and the team navigate together when the way forward isn’t clear 
• Stewarding technical standards and quality
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
• Tune application and query performance using profiling tools and SQL
• Drive the collection of new data and the refinement of existing data sources to continually improve data quality