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Halvik Corp in the Army Vantage program seeks a Senior Data Engineer to advance high-performance Python-based data processing and predictive capabilities, collaborating with ML and data teams.
The role emphasizes integrating data products into mission solutions, ensuring model monitoring and calibration, and delivering production-ready analytics within a DoD environment while leveraging Polars, NumPy, LightGBM, and XGBoost.
Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies. Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of something special!
The Senior Data Engineer works with a Senior Data/ML Engineer and supports advanced data engineering within the Army Vantage environment. The position focuses on high-performance Python-based data processing and the development and implementation of predictive capabilities.
The position requires familiarity and technical understanding across one or more areas including in Python, Polars, NumPy, and predictive machine learning using Scikit-Learn, LightGBM, XGBoost, and related techniques supported by demonstrated experience completing projects involving 2 or more of these technologies. The emphasis is on understanding how the technologies interact and having sufficient practical experience to successfully implement their integration.
Halvik Corp is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
Halvik'spay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.