Staff Data Engineer

Summary

Join Flex, a NYC-based FinTech company revolutionizing rent payments, as a Senior Data Engineer. You will be part of the Data Infrastructure team, building a scalable, modern data platform to support current and future financial products. This role involves designing, implementing, and maintaining data infrastructure services, developing DBT models, collaborating with the Analytics team, and creating real-time and offline data pipelines. You will also be responsible for managing a data warehouse and improving data operations through automation and optimization. Flex offers a data-driven culture and the opportunity to significantly impact the company's growth and strategy. The position requires extensive experience in data infrastructure, Python, SQL, DBT, Snowflake, and Infrastructure as Code tools.

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
• 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
• 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 collaborating 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

Preferred Qualifications

Java experience is a plus

Benefits

• 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
• Competitive Pay
• Company Equity
• Unlimited PTO