Jobs and Careers
AU
Sr. Data Engineer
AugerUnited Statesfull_timeVerifiedPosted 13 Nov 2025
About the role
About the Team & Role
The Customer Solutions Data Team at Auger is on a mission to revolutionize how global supply chain information is accessed, indexed, and advanced. Supply chain data is vast and messy, but it’s also the fuel that powers efficiency, sustainability, and innovation. Our team is developing analytical approaches that turn this raw, complex data into actionable intelligence, enabling smarter decisions and better outcomes for everyone. Variety, quality, timeliness, and completeness—this is the lifeblood of our work. If you’re a passionate engineer and developer who thrives on solving hard problems, exploring new platforms, and building something the world has never seen before, we want you on our team. Key ResponsibilitiesAs a Sr. Data Engineer, you will leverage new and existing data sources in support of Auger’s core data lake and ingestion of customer data into our platform. We're seeking teammates who love data of all kinds, are masters of building efficient, scalable, operable data pipelines, and are ready to take hands-on coding ownership in the following areas:- Data ingestion pipelines for existing and new data sources (both batch and real-time streaming)
- Experience with all forms of multi-modal data types
- Monitoring frameworks to protect data quality and consistency
- Data modeling design and data architecture skills to support reporting and analytics requirements
- Experience in the latest generation of data lake architectures, stream and batch processing, and managed cloud services to support scale.
- Degree in Computer Science, Mathematics, Statistics, or other data-intensive discipline with substantive engineering experience.
- 5+ years demonstrated development experience using SQL, Scala, Spark, Flink, Beam, and/or Python
- 5+ years demonstrated experience in data management (structured and unstructured) and modern database technologies
- Demonstrated experience developing data pipelines to support machine learning, LLMs or other analytical solutions
- Experience working with multi-cloud providers such as AWS and Azure
- Work and collaborate in-person at our Bellevue Headquarters
- Ability to work collaboratively through ambiguity, with urgency, patience, and good humor
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