Summary
Location
Montgomery County
Salary
$75k - $108k
Type
full-time
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About this role
Job ID: 113671
DRS RADA Technologies, a subsidiary of Leonardo DRS, is focused on proprietary radar solutions and legacy avionics systems supporting the defense industry globally. The company is a global pioneer of AESA tactical radars for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance.
Job Summary
Join our dynamic radar defense company as a Data Engineer and launch your career at the forefront of mission-critical systems development. We are seeking a motivated early-career engineer who is eager to learn, collaborate, and contribute to meaningful, real-world solutions.
In this role, you will work alongside experienced developers and data scientists who will mentor you in the preparation, validation, and documentation of time-series and geospatial datasets for cutting-edge AI/ML applications. You will operate within a collaborative, ego-free culture that values technical rigor, clear communication, and results over hierarchy.
Working at the intersection of radar technology and defense applications, you will have the opportunity to rapidly expand your skills as our company evolves from startup-level agility to enterprise-grade processes. You will gain hands-on experience with modern data science practices and learn how to work effectively with major defense contractors—while making a tangible impact in a highly consequential domain.
The ideal candidate has a strong foundation in Python, is comfortable working with scientific or engineering data, and can read legacy MATLAB code and re-implement algorithms in Python or other languages. This is an excellent opportunity for an early-career STEM graduate to work closely with ML engineers in a technically rigorous environment.
Job Responsibilities
- Prepare, clean, and structure time-series and geospatial datasets for machine learning workflows
- Perform feature preparation including temporal alignment, resampling, lag features, and spatial associations
- Ensure datasets are free from common ML issues such as misaligned timestamps, or invalid labels
- Validate data quality through consistency checks, anomaly detection, and edge-case analysis
- Document dataset assumptions, preprocessing steps, and known limitations for ML handoff
- Support ML engineers during model development, assessment, and deployment
- Collaborate with team members using notebooks and version-controlled workflows
Qualifications
- Bachelor’s or Master’s degree in a STEM discipline (e.g., engineering, computer science, physics, applied mathematics, statistics, geoscience, or related field)
- Strong proficiency in Python, particularly for data analysis and preprocessing
- Ability to reason through data problems using a structured, analytical approach
- Clear written and verbal communication skills
Preferred Qualifications
- Experience or be willing to learn: Matlab, R, SQL, or Redis
- Exposure to geospatial data concepts
- Prior use of notebooks or collaborative data environments
- Familiarity with Databricks and/or Azure
U.S. Citizenship required.
The salary range for this position is $75,956/year - $108,617/year. This range reflects the good faith estimate of pay the employer is willing to offer at the time of posting. Several factors can influence the pay scale, including but not limited to: Federal contract labor categories and contract wage rates, collective bargaining agreements, geographic location, business considerations, scope, and responsibilities of the position, local or other applicable market conditions, and internal equity. Other factors include the candidate’s qualifications such as prior work experience, specific skills and competencies, education/training, and certifications. In addition to base pay, employees may be eligible for: annual performance-based bonuses, equity awards, and overtime pay (for non-exempt employees as applicable. Our benefits package includes comprehensive health insurance (medical, dental, vision), employer matching 401(k) retirement plan, paid time off including vacation, holidays, and sick leave (including ant state-mandated paid sick leave), parental leave benefits, tuition reimbursement, professional development support, and life and disability insurance coverage.
Taking care of our people is a top priority at Leonardo DRS. We are proud to offer competitive salaries and comprehensive benefits, including medical, dental, and vision coverage, a company contribution to a health savings account, telemedicine, life and disability insurance, legal insurance, and a 401(k) savings plan. We champion wellness programs that focus on physical, emotional, and financial well-being. We develop our talent by offering programs and activities to support career-growth, professional development, and skill enhancement. And we understand there is more to life than work, and the importance of offering flexible work schedules with our 9/80 program, competitive vacation, health/emergency leave, paid parental leave, and community service hours.
*Some employees are eligible for limited benefits only
Leonardo DRS, Inc. and its subsidiaries provide equal opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws.
Other facts
About Leonardo DRS, Inc.
DRS Daylight Solutions, a line of business under Leonardo DRS, provides photonics solutions to researchers, industry allies, and system manufacturers. Daylight specializes in manufacturing high-performance lasers across the spectrum from UV to IR, offering capabilities in broad tuning, narrow linewidth, and high power. The company’s core technologies include a family of quantum cascade lasers (QCL-IR), external cavity diode lasers (EC-DLs), and custom laser engines. Daylight’s lasers are deployed worldwide in a diverse array of applications, including aerospace and defense, life sciences, and material inspection. As a team of dedicated innovators, Daylight designs new technologies that aim to enable what’s next in scientific and technological advancements for those who are driving innovation forward.
What you'll do
- Prepare, clean, and structure time-series and geospatial datasets for machine learning workflows. Collaborate with ML engineers during model development and ensure data quality through various validation techniques.
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