Data Solutions Engineer: AI-Driven Analytics & Self-Service

Blue Origin; Seattle (WA); On-site; USD 99,000 - 139,000; Full time

Job summary

Blue Origin is seeking a data engineering specialist to build and sustain data-driven workflows and analytics infrastructure within the Business Operations and Efficiency group. You will manage the recurring cost model for the product line and explore modernization options using analytics tools.

You will develop AI agents, mentor the team in Databricks and AI tool development, and collaborate with stakeholders to improve throughput and automate tasks across the organization.

Qualifications

• BA/BS in Computer Science, Data Science, Engineering, or related discipline.
• 5+ years in data engineering, analytics development, or BI.
• Proficient in Microsoft Excel with advanced formulas, macros, and data connections.
• Hands-on experience with Databricks.
• Ability to translate ambiguous business problems into technical solutions.

Responsibilities

• Build and maintain data-supported business workflows and analytics infrastructure.
• Manage the recurring cost model for the product line, including data connections, macros, and formula logic in Excel; identify opportunities to modernize using analytics tools.
• Develop BlueGPT AI agents and AI-assisted workflows to automate operational tasks and enable self-service data access.
• Provide hands‑on mentorship to Business Operations team members in Databricks and AI tool development.
• Collaborate with stakeholders to identify process inefficiencies and develop technical solutions that increase throughput and reduce manual effort.
• Drive adoption of modern data practices including orchestration, automation, and cloud‑native architectures.

Skills

Data engineering

Analytics development

Excel (advanced)

Databricks

Data pipelines

Mentorship

Communication

Solution translation

Education

BA/BS in CS/Data Science/Engineering

Tools

Databricks

Job description

Blue Origin is seeking a data engineering specialist to build and sustain data-driven workflows and analytics infrastructure within the Business Operations and Efficiency group. You will manage the recurring cost model for the product line and explore modernization options using analytics tools.

You will develop AI agents, mentor the team in Databricks and AI tool development, and collaborate with stakeholders to improve throughput and automate tasks across the organization.