Senior Data Engineer - Growth

June 25

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Flex

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Fintech • Real Estate • B2C

Flex is a financial technology company that enables renters to split and schedule rent payments, pay move-in costs over time, and build credit through on-time rent reporting. It offers consumer-facing payment products (rent split, pay-over-time, and move-in loans) and partners with property owners and property-management systems to help properties collect on-time rent and retain residents. Flex operates via bank partnerships and regulated lending/servicing subsidiaries to provide loans and payment processing while emphasizing security and regulatory compliance.

201 - 500 employees

Founded 2019

💳 Fintech

🏠 Real Estate

👥 B2C

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ 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: Non-profit company match + pet adoption coverage • Free Flex subscription