Offer summary

Qualifications:

Minimum of 6 years of experience in data infrastructure or data engineering., Proficiency in Python and SQL, with Java experience a plus., At least 3 years of experience using DBT and Snowflake., Familiarity with AWS services and big data tools like Kafka, Hadoop, Spark, and Airflow..

Key responsibilities:

Design and maintain data pipeline services and data warehouses.

Collaborate with analytics and data science teams for data modeling and reporting.

Develop real-time streaming and offline ETL pipelines.

Improve data operations through automation and infrastructure optimization.

Job description

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 senior engineers to join our dynamic team and play a pivotal role in accelerating our growth trajectory. In this role. you will be instrumental in developing and scaling the data platform that empower our users and partners, unlocking our next phase of 10x growth.

What You’ll Do

Design, implement, and maintain high-quality data pipeline 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 collaborating with the Analytics team for data modeling, reporting, and data ingestion.
Closely collaborate with the Data science team to build the data set for the ML model.
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.

What We’re Looking For

A minimum of 6 years of industry experience in the data infrastructure/data engineering domain.
A minimum of 6 years of experience with Python and SQL. Java experience is a plus.
A minimum of 3 years of industry experience using DBT.
A minimum of 3 years of industry experience using Snowflake and its basic features.
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 Snowflake, 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.
Have the experience to build and improve user onboarding funnel and design the comprehensive experiment to drive metric improvements.
Industry experience in using Infrastructure as Code tools, specifically CDK and Terraform.
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.
Strong written and verbal communication skills.

For working locations in NY/NJ/CA, the base salary pay range will be $197,000-$213,000

For all other states, the base salary pay range will be $177,000-$192,000

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, Canada 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: