Anduril Industries is looking to build high-throughput data systems that connect design, manufacturing, and operations into a unified digital thread to support the development of autonomous vehicles and maritime systems.
Requirements
- Proficiency in database management systems (e.g., SQL, NoSQL databases like MongoDB, Cassandra).
- Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery).
- Strong understanding of data architecture principles and best practices.
- Proficiency in programming languages used for data engineering (e.g., Python, Java, Scala).
- Experience with big data technologies (e.g., Hadoop, Spark).
- Familiarity with cloud platforms and services (e.g., AWS, Azure, GCP).
Responsibilities
- Design and Implement Data Access Layers: Develop high-performance data access layers to handle massive datasets, ensuring quick and efficient data retrieval and processing.
- Database Design and Management: Design, implement, and maintain scalable databases suitable for high-speed, high-throughput data operations.
- Data Integration: Integrate data from various business systems including PLM, ERP, and MES, ensuring seamless and efficient data flow.
- Performance Optimization: Monitor and optimize the performance of data access layers and databases to meet the demands of large-scale, real-time data processing.
- Collaborate with Cross-Functional Teams: Work closely with software engineers, data scientists, and other stakeholders to ensure the data architecture supports various applications and analytical needs.
- Maintain Documentation: Write and maintain comprehensive documentation for data access layers, databases, and data integration processes.
Other
- Eligible to obtain and maintain an active U.S. Secret security clearance.
- Excellent collaboration and communication abilities.
- Previous experience in a manufacturing or industrial setting (preferred).
- Strong problem-solving skills and ability to handle large volumes of data.
- Annual reimbursement for professional development
