Data Engineer III

About the Role

Key Responsibilities

• Design and implement data pipeline architectures to connect disparate systems across the product lifecycle
• Preprocess, analyze, and interpret large datasets
• Collect and prepare data for training and evaluation of AI models
• Build data visualization solutions to provide insights across the product lifecycle
• Conduct model testing, validation, and optimization
• Improve the efficiency, accuracy, and scalability of our systems
• Write high-quality, efficient, and maintainable code
• Develop and maintain scalable AI native systems, agents, and applications
• Develop scalable and robust machine learning frameworks
• Create algorithms that generate content based on learned data patterns
• Work closely with cross-functional teams to integrate AI/ML solutions into products
• Communicate complex technical concepts to non-technical stakeholders
• Implement containerization and orchestration technologies (e.g., Docker, Kubernetes)
• Stay up-to-date with the latest advancements in AI/ML technologies and practices

Requirements

• Able to work onsite in Renton, WA
• Bachelor's or Master's degree in Engineering, Computer Science or a related field
• 5+ years of professional software development experience
• Proficiency in languages commonly used in development, such as Python or Java
• Knowledge of database management systems, both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra)
• Experience with cloud computing platforms such as AWS, Azure, or Google Cloud, and their AI-related services
• Strong analytical and problem-solving skills with attention to detail
• Excellent written and verbal communication skills for clear documentation and cross-team collaboration
• Ability to innovate and adapt to rapidly changing technologies and environments
• Proven track record of successfully delivering complex projects on time and within budget

Nice to Have

• 10+ years experience in a design & manufacturing industry
• Operations experience in design, launch system, commercial aviation, military aviation, or similar industry requiring detailed configuration control to ensure human safety
• Proven experience with large language models (LLMs) and AI/ML application development
• Advanced understanding of neural networks, deep learning, and generative AI models
• Strong background in developing agent applications, including agent frameworks and autonomous systems
• Experience with real-time analytics and real-time data processing pipelines
• Strong project management skills with the ability to manage multiple priorities
• Ability to stay updated with the latest advancements in AI, machine learning, and related fields, and to adopt these advancements in practical applications

Qualifications

• Educational background in Engineering, Computer Science or a related field

Benefits & Perks

• Medical, dental, vision, basic and supplemental life insurance
• Paid parental leave
• Short and long-term disability
• 401(k) with a company match of up to 5%
• Education Support Program
• Paid Time Off: Up to four weeks per year based on weekly scheduled hours
• Up to 14 company-paid holidays
• Discretionary bonus