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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 . United States. .. Do you thrive in high-growth, fast-paced environments and have a passion for building powerful data infrastructure? Join a dynamic team driving innovation in financial technology. As a Staff Data Engineer, you'll play a critical role in designing scalable platforms that power machine learning, business intelligence, and operational analytics. This is your opportunity to influence product direction and strategy by ensuring the delivery of timely, secure, and actionable data. You’ll collaborate with cross-functional teams, work with the latest tools, and shape the future of financial data solutions — all within a fully remote setting.. . Accountabilities:. . Design, build, and maintain modern data infrastructure services including Data Lakes, Kafka, Kinesis, and secure data access layers.. . Create real-time streaming pipelines and offline ETL workflows that scale with the company’s growth.. . Build and maintain DBT models to support robust analytics reporting and ML models.. . Collaborate with analytics and business stakeholders to improve data ingestion, modeling, and access.. . Optimize infrastructure with automation, scalability, and performance in mind.. . Manage secure data warehousing environments (e.g., Snowflake) and ensure reliable, efficient access to large datasets.. . Produce technical documentation including architecture designs, runbooks, and engineering best practices.. . . At least 8 years of experience in data infrastructure or data engineering.. . Proficiency in Python and SQL; Java experience is a plus.. . 4+ years of hands-on experience with DBT and Snowflake.. . 4+ years working with IaC tools like CDK or Terraform.. . Familiarity with a wide range of AWS services such as Lambda, Glue, RDS, Step Functions, DMS, EMR, and EKS.. . Experience with big data platforms/tools like Kafka, Hive, Spark, Hadoop, Cassandra, or Airflow.. . Strong understanding of relational and NoSQL databases in production settings.. . Solid grounding in algorithms, data structures, and design patterns.. . Strong communication and collaboration skills; comfortable working in fast-paced and ambiguous environments.. . Experience with CI/CD practices and mentoring fellow engineers.. . Company Location: United States.