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Data Scientist/ Data Engineer

Collabera LLC

Washington, District of Columbia • Today

Easy Apply

Full-time

$50.0000 - $56.0000

Full Stack Developer (or Data Engineer)

Dexian DISYS

McLean, Virginia • Today

Easy Apply

Contract

$70 - $75 per hour

AI Data Engineer

SAIC

Fort Belvoir, Virginia • Today

Full-time

USD 120,001.00 - 160,000.00 per year

Senior Data Engineer

Booz Allen Hamilton

Quantico, Virginia • Yesterday

Full-time

USD 77,600.00 - 176,000.00 per year

Data Engineer

Booz Allen Hamilton

Chantilly, Virginia • Yesterday

Full-time

USD 62,000.00 - 141,000.00 per year

Data Engineer

Booz Allen Hamilton

Hybrid in Arlington, Virginia • Today

Full-time

USD 62,000.00 - 141,000.00 per year

ETL Data Engineer

Rishabh Software Pvt. Ltd

Washington, District of Columbia • Today

Easy Apply

Full-time, Part-time, Contract, Third Party

Data Engineer

MANTECH

Chantilly, Virginia • Today

Full-time

Data Engineer

Utah State University

Stafford, Virginia • Today

Full-time

USD 108,000.00 - 208,000.00 per year

Data Engineer

Accenture LLP

Fort Belvoir, Virginia • Today

Full-time

USD 134,100.00 - 180,100.00 per year

Data Engineer

Integration Innovation, Inc.

Quantico, Virginia • Today

Full-time

Junior Data Engineer

Bowhead

Stafford, Virginia • Today

Full-time

USD 75,000.00 - 90,000.00 per year

Data Engineer

Absolute Business Solutions Corp

Springfield, Virginia • Today

Full-time

USD 150,000.00 - 185,000.00 per year

Data Engineer

SteerBridge

Vienna, Virginia • Today

Full-time

USD 125,000.00 - 140,000.00 per year

NCIS Data Engineer | Active Secret clearance

General Dynamics

Quantico, Virginia • Today

Full-time

USD 142,792.00 - 166,750.00 per year

Data Engineer

Accenture LLP

Arlington, Virginia • Today

Full-time

USD 78,600.00 - 160,200.00 per year

Data Engineer

Xpect Solutions, Inc.

Arlington, Virginia • Today

Full-time

Data Engineer

SR Talent Solution Inc

Hybrid in Washington, District of Columbia • 15d ago

Easy Apply

Contract

55 - 60

Senior Data Engineer (FedD238)

Defense Unicorns

Springfield, Virginia • Today

Full-time

USD 148,750.00 - 201,250.00 per year

Palantir Data Engineer

Booz Allen Hamilton

Springfield, Virginia • Today

Full-time

USD 77,600.00 - 176,000.00 per year

AWS Cloud Data Engineer

DNI Delaware Nation Industries

Dahlgren, Virginia • Today

Full-time

USD 150,000.00 - 170,000.00 per year

Data Engineer

Accenture LLP

Washington, District of Columbia • Today

Full-time

USD 93,400.00 - 176,200.00 per year

Data Engineer - Senior

Accenture LLP

Chantilly, Virginia • Today

Full-time

USD 106,300.00 - 221,100.00 per year

Data Engineer

General Dynamics

Falls Church, Virginia • Today

Full-time

USD 81,349.00 - 105,800.00 per year

Data Engineer

SteerBridge

Hybrid in Vienna, Virginia • 11d ago

Full-time

12000 - 135000

Data Engineer

Booz Allen Hamilton

McLean, Virginia • Today

Full-time

USD 62,000.00 - 141,000.00 per year

Data Engineer/Analyst

CACI International, Inc.

Alexandria, Virginia • Today

Full-time

USD 103,800.00 - 218,100.00 per year

Data Engineer

Avalore, LLC

Arlington, Virginia • Today

Full-time

USD 97,000.00 - 181,000.00 per year

Data Engineer

Booz Allen Hamilton

Chantilly, Virginia • Today

Full-time

USD 99,000.00 - 225,000.00 per year

Data Engineer

Booz Allen Hamilton

Chantilly, Virginia • Today

Full-time

USD 62,000.00 - 141,000.00 per year

Job Details

Skills

Data Scientist
Data Engineer
data engineering
data science
machine learning
Python
Spark
Databricks
Airflow
data warehousing
lakehouse
ETL
ELT
AWS
AZURE
Machine learning

Summary

Title: Data Scientist/Engineer
Location: Washington, DC 20530 (5x onsite)
Duration: 6 months (Possibility of Extension)
Range: $50/hr - $57/hr

Federal Contract role - Public Trust Clearance

Position Summary

We are looking for a versatile Data Scientist / Data Engineer to join our data team. This hybrid role combines strong data engineering capabilities with advanced data science and machine learning expertise. The ideal candidate will design, build, and maintain robust data pipelines while developing predictive models, performing advanced analytics, and delivering actionable insights that drive business value. You will work at the intersection of data infrastructure and analytics, turning raw data into production-ready solutions and impactful machine learning applications. This position requires a strong technical foundation, problem-solving skills, and the ability to collaborate effectively with cross-functional teams.

Key Responsibilities

Design, build, and maintain scalable, reliable data ingestion, processing, and transformation pipelines using tools such as Python, Spark, Databricks, Airflow, or cloud-native services (Azure, AWS).

Develop and optimize data models, data warehouses, and lakehouse architectures to support both analytical and machine learning workloads.

Build, train, deploy, and monitor machine learning and deep learning models for various use cases, including prediction, classification, recommendation, and generative AI.

Perform feature engineering, exploratory data analysis (EDA), and statistical analysis to support model development and business insights.

Implement Ops practices including model versioning, CI/CD for, containerization, and monitoring of production models.

Conduct statistical analysis, A/B testing, causal inference, and predictive analytics to solve complex business problems.

Ensure high data quality, implement data validation, monitoring, and governance processes across the data lifecycle.

Work closely with business teams, analysts, and leadership to understand requirements, translate them into technical solutions, and communicate findings effectively.

Optimize data pipelines and models for scalability, cost-efficiency, and performance at scale.

Leverage modern data stack technologies including SQL, Python (Pandas, Scikit-learn, TensorFlow/PyTorch), Spark, Databricks, and cloud platforms.

Maintain clear documentation of data pipelines, models, and processes. Mentor junior team members and promote best practices.

Stay up-to-date with emerging technologies in data engineering and data science and evaluate their potential value for the organization.

Qualifications

Bachelor's degree in Computer Science, Data Science, Engineering, or a related quantitative field

5+ years experience working in a hybrid Data Scientist and Data Engineer capacity

Advanced proficiency in Python and strong command of SQL for complex data querying and manipulation

Hands-on experience with big data processing frameworks like Apache Spark or Databricks, and workflow orchestration tools like Apache Airflow

Solid understanding of data warehousing, lakehouse architectures, and designing scalable ETL/ELT pipelines

Practical experience building and deploying models using libraries

Experience with cloud-native data services on Azure and AWS

Knowledge of data quality standards, data validation techniques, and data security governance practices

Strong analytical mindset with ability to turn raw data into structured actionable business solutions

Excellent written and verbal communication skills, including the ability to clearly explain technical concepts to non-technical audiences

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually as applicable.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91127026
Position Id: 33554
Posted 10 hours ago

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Washington, District of Columbia

•

Today

Data Scientist/Engineer Public Trust Washington, DC (5 Days a week onsite) Data Engineer - data Scientist not data management - not write code/program - needs to be familiar with how the tool is used to provide support for the infrastracture. Linux required, cloud preferred. R Studio (basic knowledge), Databricks is comprable. Tools are interchangeable. We are looking for a versatile Data Scientist / Data Engineer to join our data team. This hybrid role combines strong data engineering capabilit

Easy Apply

Contract

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Data Scientist

Washington, District of Columbia

•

Today

Location: Washington, DC Salary: $50.00 USD Hourly - $54.00 USD Hourly Description: Data Scientist / Data Engineer Location: Washington, DC (100% Onsite, 5 days/week) Clearance: Public Trust (Must be eligible to obtain) Pay Rate: $50 - $54/hr Overview We are seeking a versatile Data Scientist / Data Engineer to join a high-performing data team. This hybrid role combines advanced data engineering expertise with data science and machine learning capabilities. The ideal candidate will build and

Contract

USD 50.00 - 54.00 per hour

Data Engineer

Arlington, Virginia

•

Yesterday

Job Number: R0250260 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need a data professional like you to help our clients find answers in their data to impact important missions, from fraud detection to cancer research t

Full-time

USD 62,000.00 - 141,000.00 per year

Data Engineer

Hybrid in Arlington, Virginia

•

Yesterday

Job Number: R0251022 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need a data professional like you to help our clients find answers in their data to impact important missions, from fraud detection to cancer research t

Full-time

USD 62,000.00 - 141,000.00 per year