Senior Data Engineer

U.S Air Force; Universal City (TX); Hybrid; USD 120,000 - 160,000; Full time

Job summary

The United States Space Force (USSF) at Randolph AFB, San Antonio, Texas seeks a Senior Data Engineer to build and sustain data capabilities for Guardian talent management and leadership decisions. You will develop scalable pipelines, models, dashboards, and interfaces; integrate diverse data sources; and deliver timely analytics for human capital policy and workforce planning.

You will translate stakeholder needs into technical requirements, lead data projects, and present concise briefings to

Qualifications

• Bachelor's degree in mathematics, statistics, computer science, data science, or related field.
• At least 24 semester hours in operations research, mathematics, probability, statistics, or related subjects.
• At least 3 of the 24 hours must have been in calculus.

Responsibilities

• Build and maintain data pipelines, data models, databases, and data infrastructure.
• Design, training, and evaluating AI/ML models and statistical analyses.
• Lead data engineering and analytics initiatives; translate needs to technical requirements.
• Prepare concise reports and briefings for senior leaders.

Skills

Data pipelines

SQL

Python

Machine learning

Data governance

Leadership

Communication

Education

Bachelor's degree in mathematics, statistics, computer science, data science

Tools

Tableau

Power BI

Spark

Hadoop

Git

Job description

Duties

The United States Space Force (USSF) at Randolph AFB, San Antonio, Texas is searching for a Senior Data Engineer, HQSF ETM/TMS (NH-1560-04, GS 14/15 equivalent).

Description

The Enterprise Talent Management Office (ETM) seeks a senior Data Scientist/Data Engineer to build and sustain the data capabilities that inform Guardian talent management and senior leader decisions. In this role, you will develop and improve data models, pipelines, interfaces, and infrastructure; integrate diverse data sources; and deliver timely, reliable analytics for human capital policy, workforce planning, and talent operations. You will apply advanced data engineering, statistical analysis, artificial intelligence, machine learning, simulation, and decision-analysis methods to solve complex enterprise challenges.

As a technical subject matter expert, you will translate stakeholder needs into technical requirements and turn complex data into clear, actionable recommendations for Space Force decision-makers. You will lead data engineering and analytics initiatives; develop scalable data pipelines, models, dashboards, and interfaces; strengthen data quality, governance, and reliability; and prepare concise reports and briefings for senior, nontechnical audiences. If you have strong experience in programming, data architecture, statistical and predictive modeling, and leading technical projects, join ETM to help deliver a more data-driven approach to Guardian talent management.

The ideal candidate has a strong background in data science, statistics, mathematics, computer science, or a closely related discipline and has demonstrated success applying rigorous quantitative methods to complex organizational or mission problems.

Background and Experience

• Developing and maintaining data pipelines, data models, databases, and data infrastructure.
• Using SQL and scripting or statistical-computing languages, such as Python or R, for data processing and analysis.
• Designing, training, validating, and evaluating artificial intelligence or machine-learning models.
• Performing statistical analysis, predictive modeling, simulation, optimization, or decision analysis.
• Establishing data governance, metadata, data-quality, testing, and monitoring practices.
• Leading technical projects or teams; managing competing priorities; and delivering results on schedule.
• Explaining complex technical findings through concise reports and briefings for senior, nontechnical audiences.
• Applying analytics to human capital, workforce planning, personnel, organizational performance, or related mission areas.

Education and Training

Mandatory Degree Requirement: A bachelor's degree in mathematics, statistics, computer science, data science, or another field directly related to the position; or a qualifying combination of education and experience consistent with the applicable position qualification standard. At least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics or statistics. At least 3 of the 24 semester hours must have been in calculus.

Requirements

• U.S. Citizenship Required
• Must be able to obtain and maintain a Secret security clearance.
• Required to handle and safeguard sensitive and/or classified information in accordance with regulations to reduce potential compromise.
• Eligible for situational telework only, including Emergency and OPM prescribed “Unscheduled Telework”.
• May be required to travel by military or commercial aircraft in the performance of TDY assign.
• Subject to Temporary Duty Assignment (TDY): Approximately 63 days per year.
• PCS/Relocation maybe authorized. Incentive is not authorized.
• This position will close after 5 business days or 75 applications, whichever comes first.