Senior Software Engineer

Summary

Join Flex, a NYC-based FinTech company revolutionizing rent payments, as a Senior Data Engineer. You'll be part of the Data Infrastructure team, building and maintaining scalable data platforms using technologies like Snowflake, Kafka, and AWS services. This role demands strong experience in data engineering, Python, SQL, and DBT. You will design, implement, and maintain data infrastructure services, collaborate with the analytics team, and create efficient data pipelines. Flex offers a competitive salary, comprehensive benefits, and a dynamic, fast-paced work environment. We are looking for motivated individuals to help us keep our mission growing.

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
• 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
• Prior experience working on cross-functional teams
• 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

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

• Competitive pay
• 100% company-paid medical, dental, and vision
• 401(k) + company equity
• Unlimited paid time off with a PTO minimum + 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