Senior Data Engineer - Data Infrastructure

Position Overview

Flex is a growth-stage, NYC-headquartered FinTech company dedicated to revolutionizing the rent payment experience. We are seeking motivated Senior Engineers to join our Data Infrastructure team, which is instrumental in shaping the future of our finance data platforms. The Data Infrastructure team focuses on building a scalable, modern data platform to support Flex’s current and future financial products with a cutting-edge, forward-thinking approach. Our objective 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 foster a culture of data-driven decision-making and require data that is timely, accurate, and actionable.

Employment Type

[Not Specified]

Location Type

[Not Specified]

Salary

• NY/NJ/CA: $221,000 - $237,000
• All Other States: $199,000 - $213,000

Note: Salary compensation will be commensurate with candidate experience and Flex's internal leveling guidelines and benchmarks.

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.
• Collaborate closely 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.

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.

Core Competencies

• 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.

Company Information

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.

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 [Not Specified].

Application Instructions

[Not Specified]

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