Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Senior Data/ML Engineer
McLean, VA, US
Live, first seen by us 44 days ago- Pay
- Pay not listedSimilar roles state $166K–$240K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
Before you apply
- Work authorization
- Citizens only
Must possess an active Secret security clearance
What you’ll work on
Full postingDevelop high-performance Python data-processing and analytical workflows
Perform feature engineering and develop, train, and refine predictive ML models
Evaluate model performance and support optimization, calibration and drift monitoring
Integrate data products and predictive models into the Army Vantage environment
Troubleshoot data-processing, analytical, and predictive-model issues
From the employer’s posting
Develop high-performance data-processing and analytical workflows using Python.
Perform feature engineering in support of predictive machine learning.
Evaluate model performance and support model optimization and calibration.
Integrate data products and predictive models into the Army Vantage environment.
Troubleshoot data-processing, analytical, and predictive-model issues.
What you’ll bring
All qualificationsCore experience
- Strong proficiency in Python.
- Experience developing data or analytical capabilities within Palantir Foundry/Army Vantage.
- Hands-on experience with Polars.
- Experience operationalizing predictive models within enterprise environments.
- Hands-on experience with NumPy.
- Experience supporting large or complex government data environments.
Qualification wording
Strong proficiency in Python.
Experience developing data or analytical capabilities within Palantir Foundry/Army Vantage.
Hands-on experience with Polars.
Experience operationalizing predictive models within enterprise environments.
Hands-on experience with NumPy.
Experience supporting large or complex government data environments.
Education & alternatives
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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 21, 202644 days ago
- Recorded sightings
- 35
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Sep 15, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 44
Similar jobs usually come down between day 6 and day 69.
From 4,362 similar postings that came down. Coming down is not always a hire.
Halvik is hiring
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- LightGBM
- NumPy
- Polars
- scikit-learn
- XGBoost
Where the posting names them
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.
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
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.
- 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.
- Demonstrated senior-level Data engineering experience. - Strong proficiency in Python. - Hands-on experience with Polars.
- 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.
- Experience developing predictive ML solutions using Scikit-Learn. - Experience with LightGBM. - Experience with XGBoost.
- Hands-on experience with Polars. - Hands-on experience with NumPy. - Demonstrated predictive machine learning 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 LightGBM. - Experience with XGBoost. Preferred Expertise
Your next step
Complete your application on halvik.isolvedhire.com. The employer’s form will show what is required.
Already applied? Track this application
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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's pay 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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
McLean, VA, US
Working pattern and location restrictions need checking in the full posting.
- Work authorization
- 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.