Pay: Salary not listed in the saved posting
Work setup: Unconfirmed
Employment: Unconfirmed

What you’ll work on

Develop high-performance data-processing and analytical workflows using Python.
Support feature development for predictive machine learning.
Evaluate performance and support model optimization and calibration.

From the employer’s posting

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.

Prepare, transform, analyze, and validate data using Polars, NumPy, and related Python technologies. Support feature development for predictive machine learning. Working with ML Engineer, develop, train, evaluate, and refine predictive machine learning models.

Working with ML Engineer, develop, train, evaluate, and refine predictive machine learning models. Evaluate performance and support model optimization and calibration. Support monitoring of predictive models and identification of model or data drift.

What you’ll bring

All qualifications

Core 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 have an active Secret security clearance

Tools in this posting

Python
Lightgbm
NumPy
Polars
Xgboost
scikit-learn

Source

Position Overview 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.

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. 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. - Support feature development for predictive machine learning.

- Demonstrated senior-level Data engineering experience. - Strong proficiency in Python. - Hands-on experience with Polars.

- Understanding of predictive machine learning experience. - Experience with LightGBM. - Experience with XGBoost.

- Hands-on experience with Polars. - Hands-on experience with NumPy. - Understanding of predictive machine learning experience.

- Strong proficiency in Python. - Hands-on experience with Polars. - Hands-on experience with NumPy.

- Experience with LightGBM. - Experience with XGBoost. Preferred Expertise

Job description

View original posting ↗

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 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.

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.
Support feature development for predictive machine learning.
Working with ML Engineer, develop, train, evaluate, and refine predictive machine learning models.
Evaluate 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 have an active Secret security clearance
Years of Experience: 8+ 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.
Understanding of predictive machine learning experience.
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.

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the salary range before committing time to the process.

Complete your application on halvik.isolvedhire.com. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected 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 have an active Secret security clearance - Years of Experience: 8+ years of experience in data engineering including working with and designing dimensional models for analytical and reporting environments.

Open source at halvik.isolvedhire.com ↗Read the full description ↓