The company is looking to revolutionize global supply chains by developing analytical approaches that turn raw, complex data into actionable intelligence, enabling smarter decisions and better outcomes for everyone.
Requirements
- 7+ years demonstrated development experience using SQL, Java, Scala, Spark, Flink, Beam, and/or Python
- 5+ years demonstrated experience in data management (structured and unstructured) and modern database technologies
- Experience developing data pipelines to support machine learning, LLMs or other analytical solutions
- Experience with all forms of multi-modal data types
- Experience with the latest generation of data lake architectures, stream and batch processing, and managed cloud services to support scale growth of 100x or more!
- Experience working with multi-cloud providers such as AWS and Azure
Responsibilities
- Leverage new and existing data sources in support of Auger’s core data lake and analytical products
- Build efficient, scalable, operable data pipelines
- Design and implement data modeling and data architecture to support reporting and analytics requirements
- Develop data ingestion pipelines for existing and new data sources (both batch and real-time streaming)
- Implement monitoring frameworks to protect data quality and consistency
- Work with multi-cloud providers such as AWS and Azure
Other
- Degree in Computer Science, Mathematics, Statistics, or other data-intensive discipline with substantive engineering experience
- Ability and willingness to work in a lightweight Agile/Scrum development process
- Ability to work in-person at our Bellevue Headquarters
- Ability to work collaboratively through ambiguity, with urgency, patience, and good humor
