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Senior Data Engineer (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of dbt Labs. We are currently looking for a Senior Data Engineer in the United States.. This role offers a unique opportunity to lead the design and development of core data infrastructure that empowers critical business decisions and drives company growth. You will work on scalable data pipelines, canonical datasets, and data architecture, collaborating closely across multiple teams to deliver impactful solutions. The position is embedded in a fast-growing, innovative environment where technical excellence and strategic influence go hand in hand. If you thrive on solving complex challenges with cutting-edge technology and want to make a lasting impact through data, this role is designed for you.. . Accountabilities:. . Design, build, and maintain scalable, reliable data pipelines ingesting product and event data into enterprise data stores.. . Develop canonical datasets tracking key product and business metrics including user growth, engagement, and revenue.. . Architect robust systems for large-scale batch data processing and enhance monitoring of workflows.. . Lead decisions on data architecture, tooling, and engineering best practices.. . Partner cross-functionally with teams such as Infrastructure, Product, Marketing, Finance, and Go-To-Market to understand and fulfill data requirements.. . Provide product feedback by actively using and testing new data infrastructure and AI technologies.. . . Expert proficiency in SQL and Python with at least 5 years of data engineering experience and 8+ years in software engineering roles overall.. . Proficiency in one or more additional core data engineering languages such as Scala, Java, or Rust.. . Deep understanding of data infrastructure design and architecture.. . Hands-on experience with modern orchestration tools like Airflow, Dagster, or Prefect.. . Strong prioritization skills and a bias for action in fast-paced environments.. . Company Location: United States.