Senior Data Engineer
We are seeking a
Senior Data Engineer to support advanced data engineering and predictive analytics within the
Army Vantage environment. The role focuses on building high-performance Python data pipelines, developing analytical capabilities, and supporting predictive machine learning solutions.
Key Responsibilities
Develop high-performance data processing and analytics workflows using
Python, Polars, and NumPy
.
Prepare, transform, validate, and analyze complex datasets.
Support feature engineering and development of predictive ML models.
Develop, train, evaluate, optimize, and monitor models using
Scikit-Learn, LightGBM, XGBoost
, or similar technologies.
Identify model and data drift and support ongoing model performance monitoring.
Integrate data products and ML models into
Army Vantage/Palantir Foundry
.
Collaborate with engineering and integration teams to deliver production-ready mission solutions.
Troubleshoot data, analytics, and predictive modeling issues.
Document data-processing workflows, analytical methods, and model implementations.
Required Qualifications
8+ years of Data Engineering experience
, including dimensional modeling for analytical/reporting environments.
Bachelor's degree in Computer Science, IT, Engineering, Data Analytics, or related technical field, or equivalent experience.
Active Secret security clearance required.
Strong proficiency in
Python
.
Hands-on experience with
Polars and NumPy
.
Practical experience with predictive machine learning.
Experience with
LightGBM and XGBoost
.
Demonstrated experience integrating multiple data engineering and ML technologies into production solutions.
Preferred Qualifications
Experience with
Palantir Foundry / Army Vantage
.
Experience operationalizing ML models in enterprise environments.
Experience working with large-scale government or DoD data environments.
Previous
Army, DoD, or Federal mission-system experience.