Data Engineer Senior, Human Resources/People Analytics

Blue Origin•Seattle, WA

61d

About The Position

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 Blue Origin corporate functions, providing centralized support across Blue Origin business unit teams, functions, and locations. Blue is a leading aerospace manufacturing company dedicated to pioneering technology, excellence, and powerful solutions. This role is essential in advancing our data capabilities for aerospace manufacturing, enabling us to drive innovation and efficiency across our organization. We are looking for an expert Senior Data Engineer with experience in Data Platforms like Databricks, Snowflake, Palantir Foundry or like to lead our efforts in ingesting, curating, and creating enriched data store infrastructure to support our People Analytics function within our Human Resources group. The ideal candidate will possess advanced expertise in API development, strong DevOps skills with an emphasis on building out relational data architecture from scratch to service analytics use cases as well as ad hoc data required to support business functions external to HR. Experience with AI agent development work will be considered a significant advantage.

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, a related field or representative experience.
Minimum of 8+ years of professional experience focused on relational data infrastructure architecture and builds.
Minimum of 2+ years of experience in API development using FastAPI, GraphQL or similar frameworks.
Strong experience with DevOps practices and containers.
Familiarity with AI agent development and integration is a bonus.
Excellent communication and partnership capabilities, with a proactive approach to your work.
Strong attention to detail and a focus on achieving desired outcomes.

Nice To Haves

Background in working with large datasets and data processing technologies.
Familiarity with analytics/data science use cases and how best to support through data infrastructure.
Prior experience in a senior or lead developer role.

Responsibilities

Design, develop, and maintain robust and scalable APIs using frameworks like FastAPI.
Implement and lead data ingestion pipelines, improving and maintaining DevOps processes.
Develop and complete detailed unit tests and engage in development practices that prioritize code quality and reliability.
Implement defined data governance/access criteria
Collaborate with multi-functional teams to integrate user-facing elements and ensure production data utility for analytics use cases.
Design and implement sophisticated data models and solutions.
Participate actively in architectural discussions and provide innovative ideas to improve system design and performance.
Provide guidance to partner data analytics team members, promoting a culture of continuous learning, improvement and best in class data model utilization.
Collaborate in code reviews to ensure quality standards are met.
Document development processes, technical specifications, and system designs in detail.

Benefits

Benefits include: 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%, and an Education Support Program.
Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.
Discretionary bonus: Bonuses are designed to reward individual contributions as well as allow employees to share in company results.
Eligibility for benefits varies by role type, please check with your recruiter for a comprehensive list of the benefits available for this role.

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