Remote Staff Data Engineer (Remote - US)

Description:

• Join a fast-growing fintech company that is reshaping how renters manage their monthly rent.
• As a Staff Data Engineer, you will build a modern data platform that powers real-time analytics, machine learning, and business intelligence across the company.
• You will work with a cutting-edge tech stack to architect and scale infrastructure that supports critical financial operations and product development.
• This role offers a unique opportunity to make a high-impact contribution within a data-driven, mission-oriented environment.
• Responsibilities include designing and implementing scalable data infrastructure solutions such as Data Lakes, Kafka, Kinesis, and secure data access layers.
• You will develop robust DBT models and pipelines to support analytics, reporting, and ML modeling.
• Build and manage real-time streaming pipelines and offline ETL processes for high-volume data workloads.
• Own and optimize the data warehouse environment using tools like Snowflake to ensure performance and data integrity.
• Automate and improve operational workflows and infrastructure to increase scalability and reduce manual intervention.
• Collaborate with cross-functional teams including Analytics, Product, and Engineering to translate data needs into scalable solutions.
• Document architecture decisions, processes, and best practices to support long-term maintainability and knowledge sharing.

Requirements:

• You must have 8+ years of experience in data engineering or data infrastructure roles.
• Advanced proficiency in Python and SQL is required; knowledge of Java is a plus.
• You should have 4+ years of hands-on experience with DBT and Snowflake in a production setting.
• Strong experience with Infrastructure as Code (IaC) tools such as CDK and Terraform is necessary.
• Deep familiarity with AWS services including Lambda, Glue, Step Functions, EMR, and RDS is essential.
• A solid understanding of big data tools such as Kafka, Spark, Hadoop, Hive, and Airflow is required.
• Hands-on experience with both relational and NoSQL databases in live environments is necessary.
• You should have a strong grasp of data structures, algorithms, and design patterns.
• Effective communication skills and the ability to work across cross-functional teams are essential.
• You must be comfortable in fast-paced, high-growth environments and motivated to mentor others and drive team success.

Benefits:

• The position offers a competitive base salary of $221,000–$237,000 for NY/NJ/CA and $199,000–$213,000 for all other U.S. locations.
• You will receive company equity and a 401(k) plan.
• The company provides 100% company-paid medical, dental, and vision insurance.
• Enjoy unlimited paid time off and 13 company holidays.
• The position includes generous parental leave.
• Participate in the “Flex Cares” program, which offers non-profit donation matching and pet adoption support.
• You will receive a free Flex subscription.
• The role allows for fully remote work with teammates across the U.S., Canada, Australia, and South America.
• The company promotes an inclusive, collaborative culture that values diversity and continuous learning.