Data Engineer III

Application close date:

Applications will be accepted on an ongoing basis until the requisition is closed.

At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight!  

This role is part of Enterprise Technology (ET), where we’re developing the digital infrastructure needed to build the road to space, with an emphasis on digital capabilities required to advance Blue Origin’s mission. Enterprise Technology is the center of excellence for digital technology at Blue Origin, providing oversight and governance to align technology and business strategies.

This role is part of Enterprise Technology (ET), where we’re developing the digital infrastructure needed to build the road to space, with an emphasis on digital capabilities required to advance Blue Origin’s mission. Enterprise Technology is the center of excellence for digital technology at Blue Origin, providing oversight and governance to align technology and business strategies.

We are looking for someone to apply their technical expertise, leadership skills, and commitment to quality to positively impact safe human spaceflight. Passion for our mission and vision is required! 
 

Work Location:

The data engineer will work onsite in our Renton, WA office. This position is eligible for relocation. Please note that remote employment and alternate locations are not available for this role.

Responsibilities:
Data Engineers in this organization can expect to work across a range of responsibilities such as:

• 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 lifecylce
• 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

Minimum Qualifications:

• 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.

Preferred Qualifications:

Ideal Candidates will bring a combination of the following:

Desired:

• 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