Data Engineer - CDAO Central
@ Agile DefenseData Engineer - CDAO Central
About the job
Agile Defense develops advanced technologies supporting national security missions. The Data Engineer role involves designing, deploying scalable AI-enabled data pipelines within secure, mission-critical settings at CDAO in Washington, D.C.
Requirements
- Experience with data visualization tools
- Strong software engineering skills
- Knowledge of data pipelines
- Familiar with cloud platforms
- Team collaboration skills
Qualifications
- Bachelor's in CS or related field
- 3+ years data engineering experience
- Ability to work on-site at SCIF
- Excellent communication skills
- Security clearance required
Full job description
Job Description
You will help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments. The ideal candidate brings a hybrid of statistical modeling fluency and hands-on software engineering expertise. You will collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools.
This role requires strong technical communication skills, a collaborative mindset, and experience working in agile environments that value reproducibility, testing, and continuous delivery. Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data services is highly preferred.
Education and Background
Years of Experience
Required Skills
- Experience with data visualization and storytelling using tools such as Palantir's MSS Workshop and Slate applications
Preferred Skills
- 4+ years of experience in applied data science, Palantir Foundry development, or data pipeline development.
- Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark).
- Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost).
- Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure, Palantir Foundry).
- Strong understanding of data validation, model testing, and performance evaluation techniques.
- Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences.
Working Conditions
- Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
- Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
- Honest - Be Trustworthy.Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
- Humble - Be Grounded.Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.
- Hungry - Be Eager.Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.
- Hustle - Be Driven.Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.
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