Software Engineer - Data Infrastructure

Remote (U.S.)

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?

About the role

As we continue to grow our talented team, we remain committed to radical transparency, integrity, and individual growth. We believe that your unique background and experience add tremendous value to the organization and will empower you to take absolute ownership of business challenges and the execution of solutions.

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

Key Qualifications

  • Professional 3+ years of industry and academic experience in a quantitative role
  • Advanced proficiency with Python and SQL. Java experience is a plus!
  • Work in big data platforms and tooling (Snowflake, Kafka, Hadoop, Hive, Spark, Cassandra, Airflow, etc).
  • You must be comfortable working with relational and no SQL databases in a production environment
  • Familiarity with AWS services
  • Experience in using Lambda, Step Functions, RDS, EKS, EMR, DMS, etc. 
  • Infrastructure as Code experience via CDK and/or TerraformStrong fundamentals of data structures, algorithms, and design patterns
  • Passion and intellectual curiosity for the FinTech domain
  • Comfortable working in an ambiguous, fast-paced, and high-growth dynamic environment
  • Excellent written and verbal communication to take ownership of meeting with cross-functional team leads on a regular basis 

The national pay range for this role is $144,000-$179,200,000 in base salary. Individual compensation will be commensurate with the candidate's experience aligned with Flex's internal leveling guidelines and benchmarks.

Life at Flex:

We understand that it takes a diverse team of highly intelligent, curious, determined, empathetic, and self aware people to grow a successful company. Our HQ is located in New York City, but we have employees located throughout the US, Australia, and South America. We are growing quickly, but deliberately, with a focus on building an inclusive culture. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace.

We offer many employee benefits. For full time, U.S. based employees we offer:

  • Competitive pay
  • 100% company-paid medical, dental, and vision
  • 401(k) + company stock options
  • Unlimited paid time off with a PTO minimum + 13 company paid holidays
  • Parental leave 
  • Flex Cares Program: Non-profit company match + pet adoption coverage
  • Free Flex subscription
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Tags: Airflow AWS Big Data Business Intelligence Cassandra DataOps Data quality Engineering ETL Finance FinTech Hadoop Java Kafka Lambda Machine Learning Pipelines Python Snowflake Spark SQL Step Functions Streaming

Perks/benefits: 401(k) matching Career development Competitive pay Equity Health care Medical leave Parental leave Startup environment Unlimited paid time off

Regions: Remote/Anywhere North America
Country: United States
Job stats:  13  3  0
Category: Engineering Jobs

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