Staff Data Engineer

Flex

88d • $221,000 - $262,000

About The Position

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 2025 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 Engineering is seeking Staff Engineers to join the Data Infrastructure team that is shaping the future of our finance data platforms. The Data Infrastructure team is dedicated to building a scalable, modern data platform to support Flex’s current and future financial products with a cutting-edge, forward-thinking approach. Our goal is to empower all facets of the business with Machine Learning and Business Intelligence, enhancing the end-users' ability to better utilize our data. Our impact extends beyond reporting and analytics; our tools directly influence the growth and strategy of Flex’s future direction. At Flex, we have a culture of data-driven decision-making, and we demand data that is timely, accurate, and actionable.

Requirements

• A minimum of 8 years of industry experience in the data infrastructure/data engineering domain.
• A minimum of 8 years of experience with Python and SQL. Java experience is a plus.
• A minimum of 4 years of industry experience using DBT.
• A minimum of 4 years of industry experience using Snowflake and its basic features.
• A minimum of 4 years of industry experience using Infrastructure as Code tools, specifically CDK and Terraform.
• Strong written and verbal communication skills for key collaboration.
• Familiarity with AWS services, with industry experience using Lambda, Step Functions, Glue, RDS, EKS, DMS, EMR, etc.
• Industry experience with different big data platforms and tools such as Kafka, Hadoop, Hive, Spark, Cassandra, Airflow, etc.
• Industry experience working with relational and NoSQL databases in a production environment.
• Strong fundamentals in data structures, algorithms, and design patterns.

Nice To Haves

• Prior experience working on cross-functional teams.
• Experience with CI/CD to improve code stability and code quality.
• Motivated to help other engineers succeed and be effective.
• Excited to work in an ambiguous, fast-paced, and high-growth dynamic environment.

Responsibilities

• Design, implement, and maintain high-quality data infrastructure services, including but not limited to Data Lake, Kafka, Amazon Kinesis, and data access layers.
• Develop robust and efficient DBT models and jobs to support analytics reporting and machine learning modeling.
• Closely collaborate with the Analytics team for data modeling, reporting, and data ingestion.
• Create scalable real-time streaming pipelines and offline ETL pipelines.
• Design, implement, and manage a data warehouse that provides secure access to large datasets.
• Continuously improve data operations by automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
• Create engineering documentation for design, runbooks, and best practices.

Benefits

• Competitive pay
• 100% company-paid medical, dental, and vision
• 401(k) + company equity
• Unlimited paid time off + 13 company paid holidays
• Parental leave
• Flex Cares Program
• Free Flex subscription

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 501-1,000 employees