Senior Data Engineer — Space Force Analytics Leader (Remote)

Space Force Service Wide Support Activities; Universal City (TX); Sur place; USD 126 000 - 193 000; Plein temps

Résumé du poste

Space Force Service Wide Support Activities seeks a Senior Data Engineer to build and sustain data capabilities informing Guardian talent management and senior leader decisions.

You will develop scalable data pipelines, models, dashboards, and interfaces; integrate diverse data sources; and deliver timely analytics for human capital policy and workforce planning. A strong background in data science and quantitative methods is essential.

Qualifications

• Bachelor's degree in mathematics, statistics, computer science, data science, or related field; or equivalent education/experience.
• At least 24 semester hours in operations research, mathematics, probability, statistics, or related subjects; calculus experience included.
• Minimum requirement includes calculus coursework in 3 of the 24 semester hours.

Responsabilités

• Develop and maintain data pipelines, data models, databases, and data infrastructure.
• Use SQL and scripting languages (Python/R) for data processing and analysis.
• Design, train, validate, and evaluate AI/ML models.
• Perform statistical analysis, predictive modeling, and simulation.
• Establish data governance, metadata, data quality, testing and monitoring practices.
• Lead technical projects or teams and deliver results on schedule.
• Explain complex findings with concise reports for senior, nontechnical audiences.
• Apply analytics to human capital, workforce planning, and related mission areas.

Connaissances

Data engineering

SQL

Python

Dashboard design

Leadership

Communication

Data modeling

Governance

Formation

Bachelor's degree in math/statistics/CS/data science

24 semester hours in OR/math/statistics/CS/related

Calculus coursework

Description du poste

Space Force Service Wide Support Activities seeks a Senior Data Engineer to build and sustain data capabilities informing Guardian talent management and senior leader decisions.

You will develop scalable data pipelines, models, dashboards, and interfaces; integrate diverse data sources; and deliver timely analytics for human capital policy and workforce planning. A strong background in data science and quantitative methods is essential.