Sr. Data/ML Engineer

Tetra Tech; McLean (VA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) with company matching

Tuition Assistance

Flexible Spending Accounts

11 federal holidays & PTO

Charitable Contribution matching

Job summary

Halvik Corp is seeking a Senior Data/ML Engineer to drive high-performance Python-based data processing and predictive ML within the Army Vantage environment.

You will build and integrate predictive capabilities using Scikit-Learn, LightGBM, XGBoost, and Polars-based pipelines, collaborating with Foundry/Integration teams to deploy solutions across mission systems.

Qualifications

• BS degree in a technical field or equivalent experience.
• Active Secret security clearance is required.
• 10+ years of data engineering experience with dimensional models for analytics.

Responsibilities

• Develop high-performance data-processing workflows using Python.
• Transform and analyze data with Polars and NumPy.
• Perform feature engineering for predictive ML.
• Develop, train, and refine ML models (Scikit-Learn, LightGBM, XGBoost).
• Evaluate model performance and optimize/calibrate models.
• Monitor data/model drift in production environments.
• Deliver production-ready analytics within Army Vantage.
• Integrate data products and models into Army Vantage workflows.
• Collaborate with integration leads to embed analytics into end-to-end solutions.
• Troubleshoot data-processing and modelling issues; document methodologies.

Skills

Python

Polars

NumPy

Scikit-Learn

LightGBM

XGBoost

Data engineering

Education

BS degree in Computer Science/Engineering/Data Analytics or related

Tools

Palantir Foundry

Army Vantage

Job description

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!

Position Overview

The Senior Data/ML Engineer supports advanced data engineering and predictive machine learning within the Army Vantage environment. The position focuses on high-performance Python-based data processing and the development and implementation of predictive machine learning 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.

Key Responsibilities

• Develop high-performance data-processing and analytical workflows using Python.
• Prepare, transform, analyze, and validate data using Polars, NumPy, and related Python technologies.
• Perform feature engineering in support of predictive machine learning.
• Develop, train, evaluate, and refine predictive machine learning models.
• Develop predictive ML capabilities using Scikit-Learn, LightGBM, XGBoost, and related technologies.
• Evaluate model performance and support model optimization and calibration.
• Support monitoring of predictive models and identification of model or data drift.
• Develop production-ready analytical capabilities for use within Army Vantage.
• Integrate data products and predictive models into the Army Vantage environment.
• Collaborate with the Full-Stack/Integration Lead and Foundry Workshop Developers to incorporate analytical capabilities into end-to-end mission solutions.
• Troubleshoot data-processing, analytical, and predictive-model issues.
• Document analytical approaches, data-processing logic, model methodology, and technical implementation.

Required Qualifications

• Education: BS degree in Computer Science, Information Technology, Engineering, Data Analytics, or another related scientific or technical discipline (or equivalent experience)
• Must possess an active Secret security clearance.
• Years of Experience: 10+ years of experience in data engineering including working with and designing dimensional models for analytical and reporting environments.
• Technical Competencies & Tools:

• Demonstrated senior-level Data engineering experience.
• Strong proficiency in Python.
• Hands-on experience with Polars.
• Hands-on experience with NumPy.
• Demonstrated predictive machine learning experience.
• Experience developing predictive ML solutions using Scikit-Learn.
• Experience with LightGBM.
• Experience with XGBoost.

Preferred Expertise

• Experience developing data or analytical capabilities within Palantir Foundry/Army Vantage.
• Experience operationalizing predictive models within enterprise environments.
• Experience supporting large or complex government data environments.
• Previous Army, DoD, or federal mission-system experience.

Halvik offers a competitive full benefits package including:

• Company-supported medical, dental, vision, life, STD, and LTD insurance
• Benefits include 11 federal holidays and PTO
• Eligible employees may receive performance-based incentives in recognition of individual and/or team achievements.
• 401(k) with company matching
• Flexible Spending Accounts for commuter, medical, and dependent care expenses
• Tuition Assistance
• Charitable Contribution matching

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, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.