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Staff Data Engineer (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of Flex. We are currently looking for a Staff Data Engineer in the United States.. Join a fast-growing fintech company reshaping how renters manage their most significant expense—monthly rent. As a Staff Data Engineer, you’ll play a pivotal role in building a modern data platform that powers real-time analytics, machine learning, and business intelligence across the company. You'll work with a cutting-edge tech stack to architect and scale infrastructure that directly supports critical financial operations and product development. This is a unique opportunity to make a high-impact contribution within a data-driven, mission-oriented environment.. . Accountabilities. . Design and implement scalable data infrastructure solutions such as Data Lakes, Kafka, Kinesis, and secure data access layers.. . 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.. . . 8+ years of experience in data engineering or data infrastructure roles.. . Advanced proficiency in Python and SQL; Java knowledge is a plus.. . 4+ years of hands-on experience with DBT and Snowflake in a production setting.. . Strong experience with IaC tools such as CDK and Terraform.. . Deep familiarity with AWS services including Lambda, Glue, Step Functions, EMR, and RDS.. . Solid understanding of big data tools such as Kafka, Spark, Hadoop, Hive, and Airflow.. . Hands-on experience with both relational and NoSQL databases in live environments.. . Strong grasp of data structures, algorithms, and design patterns.. . Effective communicator with the ability to work across cross-functional teams.. . Comfortable in fast-paced, high-growth environments and motivated to mentor others and drive team success.. . Company Location: United States.