Business Intelligence Engineer III (Data Analytics)

TL;DR

Business Intelligence Engineer III (Data Analytics): Building and maintaining data models, deploying machine learning models, and visualizing data for the Global Supply Chain organization with an accent on New Glenn rate manufacturing scaling. Focus on crafting scalable KPIs, developing custom analytical web applications, and automating manual workloads.

Location: Space Coast, FL or Greater Seattle Area. Applicants must be a U.S. citizen, national, permanent resident (Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Salary: $130,706 - $182,987 (for WA applicants)

Company

hirify.global develops reusable, safe, and low-cost space vehicles to enable millions of people to live and work in space for the benefit of Earth.

What you will do

• Develop scalable reporting, dashboards, and data solutions using SQL and Tableau.
• Build custom interactive analytical applications using web frameworks such as Streamlit, Flask, or Dash.
• Create analytical data models and standardized metrics to support production rate ramp and supply chain performance.
• Develop automation solutions to integrate disparate systems and reduce manual workload.
• Collaborate with supply chain leaders and program management to build strategic reporting for Weekly and Monthly Business Reviews.
• Leverage AI coding assistants to accelerate development while ensuring high code quality and accuracy.

Requirements

• Bachelor's degree in a quantitative field or equivalent experience.
• Strong SQL skills for creating, altering, and managing complex datasets and models.
• Proficiency in Python for data structuring (Pandas), machine learning (XGBoost), and visualization (Seaborn, Matplotlib).
• Experience building data-driven web applications beyond standard no-code BI tools.
• Must be a U.S. citizen, permanent resident, or legally admitted refugee/asylee per export control regulations.
• Ability to communicate technical information and insights to executive partners.

Nice to have

• Familiarity with AWS Services (SageMaker, ECS), Docker, and Kubernetes.
• Experience building data models in dbt.
• Knowledge of manufacturing, PLM tools, and supply chain operations.
• Experience with JIRA, GitLab, and Confluence.
• Experience with React for building analytical applications.

Culture & Benefits

• Comprehensive medical, dental, and vision insurance.
• 401(k) with a company match of up to 5%.
• Generous paid time off: up to 4 weeks per year and 14 company-paid holidays.
• Paid parental leave and short/long-term disability.
• Education Support Program for continuous professional development.