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Data Scientist/ Data Engineer

Collabera LLC

Washington, District of Columbia • Today

Easy Apply

Full-time

$50.0000 - $56.0000

Data Engineer (Data Scientist in WD) Mid

Castalia Systems

Washington, District of Columbia • Today

Full-time

USD 135,000.00 - 140,000.00 per year

Data Engineer/Data Scientist (Capacity Planning-Forecasting)

Bayside Solutions

Remote • Today

Easy Apply

Contract

$60 - $70 per hour

Data Scientist

Judge Group, Inc.

Washington, District of Columbia • Today

Contract

USD 50.00 - 54.00 per hour

Data Scientist

CALIBRE

Alexandria, Virginia • Today

Full-time

Data Scientist

Business Management Associates

Washington, District of Columbia • Today

Full-time

USD 100,000.00 per year

Data Scientist

Navigant Consulting

Bethesda, Maryland • Today

Full-time

USD 65,000.00 - 108,000.00 per year

Data Scientist

CACI International, Inc.

Alexandria, Virginia • Today

Full-time

USD 94,400.00 - 198,200.00 per year

Lead Data Scientist

The MITRE Corporation

McLean, Virginia • Today

Full-time

USD 155,200.00 - 194,000.00 per year

Senior Data Scientist

The MITRE Corporation

McLean, Virginia • Today

Full-time

USD 124,400.00 - 155,500.00 per year

Data Scientist/Engineer - Washington, DC

Protos IT

Washington, District of Columbia • Today

Easy Apply

Contract

0 - 0

Data Scientist

MANTECH

Fort Meade, Maryland • Today

Full-time

Data Scientist

Leidos

Chantilly, Virginia • Today

Full-time

USD 131,300.00 - 237,350.00 per year

Data Scientist I

VTG

Chantilly, Virginia • Today

Full-time

USD 105,000.00 - 215,000.00 per year

Data Engineer

Accenture LLP

Arlington, Virginia • Today

Full-time

USD 78,600.00 - 160,200.00 per year

Engineer, Data

American Bureau of Shipping

Washington, District of Columbia • Today

Full-time

Data Engineer

Avalore, LLC

Arlington, Virginia • Today

Full-time

USD 97,000.00 - 181,000.00 per year

Data Engineer TS/SCI

Parsons Services Company

Arlington, Virginia • Today

Full-time

USD 112,200.00 - 196,400.00 per year

Data Engineer

SteerBridge

Hybrid in Vienna, Virginia • 11d ago

Full-time

12000 - 135000

Data Engineer

FedWriters, Inc.

Arlington, Virginia • Today

Full-time

USD 115,000.00 - 125,000.00 per year

Data Engineer

SteerBridge

Vienna, Virginia • Today

Full-time

USD 125,000.00 - 140,000.00 per year

Data Engineer

Elder Research

Arlington, Virginia • 5d ago

Full-time

Data Engineer

Booz Allen Hamilton

Arlington, Virginia • Today

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

Data Engineer

Booz Allen Hamilton

Hybrid in Arlington, Virginia • Today

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

Data Engineer

MANTECH

Chantilly, Virginia • Today

Full-time

Data Engineer

RAKS Group LLC

Remote • Today

Easy Apply

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

Data Engineer

Dropbox Inc

Remote • 9d ago

Full-time

USD 120,900.00 - 163,500.00 per year

Data Engineer

InfoVision, Inc.

Remote • 15d ago

Easy Apply

Contract

Depends on Experience

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 8 hours ago

Fitment

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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

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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

Dice Id: 91127026
Position Id: 33554
Posted 8 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Data Scientist

Washington, District of Columbia

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USD 50.00 - 54.00 per hour

Data Scientist/Engineer - Washington, DC

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Data Engineer

Arlington, Virginia

•

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USD 62,000.00 - 141,000.00 per year

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Hybrid in Arlington, Virginia

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USD 62,000.00 - 141,000.00 per year