We are a diverse team of collaborators, doers, and problem-solvers who are relentlessly committed to a culture of safety. This position will directly impact the history of space exploration and will require your dedication and detailed attention toward safe and repeatable space flight. Join us in lowering the cost of access to space and enabling Blue Origin’s vision of millions of people living and working in space to benefit Earth.

Supporting the future of human spaceflight is an ambitious but exciting task, fully dependent on a robust data model. As a Data Engineer, you will be responsible for data management systems used daily by thousands of professionals building a road to space.

You will be a member of the Enterprise Data Management & Analytics team, comprised of top. tier data professionals ranging across the entire data management lifecycle.

What makes our Data Platform Automation team successful?

• Comprehending deeply our customers’ problems and working to address them
• Focusing strongly on automation, observability, data democratization, and self-service analytics tools
• Bridging optimally between software teams and business analytics teams
• Being fanatical about data quality and trust
• We are looking for someone to apply their technical expertise, leadership skills, and dedication to quality to impact safe human spaceflight positively. Passion for our mission and vision is required!

Responsibilities include:

• Performing the full development lifecycle for automating batch and stream data processing systems, ensuring high performance, resiliency, and observability
• Monitoring, maintaining, and improving Blue Origin’s data pipelines and associated infrastructure, facilitating the greatest possible utilization and trust of our data assets
• Working with upstream system administrators and downstream business customers to onboard data, ensuring high quality, discoverability, ease of use
• Establishing ground rules, providing code reviews, and upholding the standards for code quality in our stack
• Creating tools and workflows that empower rapid iteration and repeatable results, and crafting support for this toolset with our data community
• Participating in a shared on-call rotation monitoring the health of the team’s systems
• Crafting documentation covering usage, maintenance, and troubleshooting of our data platform components

Qualifications:

• Passion for our mission: Millions of people living and working in space!
• Bachelor’s degree in a quantitative field or equivalent experience
• 3 years of direct experience developing data pipelines in a production context
• Understanding and experience with modern software practices such as version control systems, CI/CD workflows, test-driven development
• Strong SQL skills as applied to analytics context
• Experience with AWS Services, especially Event Bridge, RDS, EMR, Lambda
• Proficient with Python
• Experience ingesting data from a wide variety of sources including NoSQL databases, REST endpoints, etc.
• Familiar with Infrastructure as Code and relevant technologies
• Knowledge and direct experience with Docker and container orchestration frameworks such as Kubernetes
• Experience with distributed data management systems such as Palantir Foundry and Databricks
• Ability to earn trust, maintain positive and professional relationships, and contribute to a culture of inclusion

Desired:

• Experience with running & scaling orchestration tools such as Airflow or Dagster in production
• Experience with near-real-time data streaming applications
• Experience with big data processing frameworks such as Apache Spark
• Knowledge and experience with Linux
• Familiar with the manufacturing, PLM tools, and supply chain operations
• Experience with hierarchical data structures and recursive processing techniques
• Experience with metadata-driven automation and data fabrics
• History in Database Administration – emphasis on OLAP systems
• Prior experience delivering results on a Data Lake project
• Knowledge of implementing Data Quality monitoring and alerting systems