Mission-Driven Data Engineer: Analytics & Visualization

The Garrett Group; Bellevue Second IV Precinct (NE); On-site; USD 85,000 - 110,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

401K with company match

Paid time off

Tuition reimbursement

Life insurance

Job summary

The Garrett Group is seeking a mission-driven Engineer to collect, organize, and interpret large datasets that support operational decision-making. You will develop data products, generate insights, and collaborate with teams to refine analytical requirements and improve processes.

Ideal candidates have 3+ years in engineering analysis or a quantitative degree (BS in mathematics, statistics, or physics) and a strong foundation in statistical methods, data visualization, and technical reporting.

Qualifications

• Minimum 3 years in engineering analysis, data science, statistics, or related technical work.
• Strong analytical skills to collect, organize, analyze, and disseminate large data.
• Attention to detail and high accuracy in outputs.
• Experience with statistical tools such as R, Python/pandas, MATLAB, SPSS, or SAS.

Responsibilities

• Collect, organize, and interpret large and complex data sets to support decision-making.
• Apply analytical methods to identify trends and actionable insights.
• Ensure data quality, completeness, and thorough documentation.
• Use statistical tools to analyze structured and unstructured data.
• Develop analytic reports, visualizations, and technical summaries for leadership.

Skills

Data analysis

Statistical methods

Attention to detail

Analytical thinking

Data visualization

Communication skills

Independent and collaborative

Defense analytics (experience)

Education

BS in Mathematics

BS in Statistics

BS in General Physics

Tools

R

Python/pandas

MATLAB

SPSS

SAS

Job description

The Garrett Group is seeking a mission-driven Engineer to collect, organize, and interpret large datasets that support operational decision-making. You will develop data products, generate insights, and collaborate with teams to refine analytical requirements and improve processes.

Ideal candidates have 3+ years in engineering analysis or a quantitative degree (BS in mathematics, statistics, or physics) and a strong foundation in statistical methods, data visualization, and technical reporting.