Staff Software Engineer, Data

Position Overview

• Location Type: NYC (Hybrid)
• Employment Type: Full-time
• Salary: Not specified

Flex is a FinTech company focused on revolutionizing rent payment experiences. We empower renters with flexible payment schedules, aiming to make rent management easier and more affordable. We're a growth-stage company with strong investor support and a growing user base, and we're seeking motivated engineers to join our team and help us continue our mission.

Responsibilities

• Design, implement, and maintain high-quality data infrastructure services, including 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

• Experience: A minimum of 8 years of industry experience in the data infrastructure/data engineering domain.
• Programming Languages: A minimum of 8 years of experience with Python and SQL. Java experience is a plus.
• DBT: A minimum of 4 years of industry experience using DBT.
• Snowflake: A minimum of 4 years of industry experience using Snowflake and its basic features.
• Infrastructure as Code: A minimum of 4 years of industry experience using Infrastructure as Code tools, specifically CDK and Terraform.
• Communication Skills: Very strong written and verbal communication skills.

Bonus Skills

• Familiarity with AWS services, including Lambda, Step Functions, Glue, RDS, EKS, DMS, EMR, etc.
• Industry experience with different big data platforms and tools such as Kafka, Hadoop, Hive, Spark.

Application Instructions

• Application instructions not provided in the job description.