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Senior Data Engineer (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of Flex. We are currently looking for a Senior Data Engineer in the United States.. Join a mission-driven team reshaping how people manage one of their biggest financial obligations—rent. As a Senior Data Engineer, you'll be at the heart of building and optimizing a robust, scalable data infrastructure that fuels real-time analytics, machine learning, and key business decisions. You’ll work on complex systems involving streaming data, warehouse design, and automation, while partnering with analytics and product teams to create actionable insights. This is a high-impact role ideal for someone passionate about data quality, scalability, and empowering business growth through engineering excellence.. . Accountabilities:. . Design, implement, and manage scalable data infrastructure services such as Data Lakes, Kafka, and Amazon Kinesis.. . Build and maintain DBT models and pipelines to power analytics and machine learning solutions.. . Collaborate with analytics teams to develop efficient data ingestion and modeling strategies.. . Develop both real-time streaming and offline ETL pipelines that scale with business growth.. . Architect secure and accessible data warehouses for high-volume datasets.. . Automate data operations, optimize pipelines, and refactor infrastructure for efficiency.. . Create thorough technical documentation, including design specs, runbooks, and engineering best practices.. . Minimum 6 years of professional experience in data engineering or infrastructure roles.. . Strong proficiency in Python and SQL (6+ years); Java experience is a plus.. . At least 3 years of hands-on experience with DBT, Snowflake, and infrastructure-as-code tools (CDK, Terraform).. . Solid understanding of AWS services like Lambda, Glue, Step Functions, EMR, RDS, DMS, and EKS.. . Experience with big data tools such as Kafka, Hive, Spark, Cassandra, and Airflow.. . Familiarity with both relational and NoSQL databases in production environments.. . Strong software engineering fundamentals: data structures, algorithms, design patterns.. . Experience in CI/CD workflows and a collaborative, cross-functional development environment.. . Highly motivated, proactive, and adaptable in a fast-paced, growth-stage setting.. . Company Location: United States.