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Entry Level Data Visualization Engineer Jobs in Washington, DC

Perform data cleansing, feature engineering, and transformation to prepare data for modeling * Apply statistical techniques to validate hypotheses and support analytical findings Data Visualization ...

Perform data cleansing, feature engineering, and transformation to prepare data for modeling * Apply statistical techniques to validate hypotheses and support analytical findings Data Visualization ...

Perform data cleansing, feature engineering, and transformation to prepare data for modeling * Apply statistical techniques to validate hypotheses and support analytical findings Data Visualization ...

Perform data cleansing, feature engineering, and transformation to prepare data for modeling * Apply statistical techniques to validate hypotheses and support analytical findings Data Visualization ...

Data Engineer

Elkridge, MD · On-site

$160K - $200K/yr

This role sits at the intersection of backend data infrastructure and front-end visualization ... engineering environment. Key Responsibilities: - Design, build, and maintain backend services that ...

New

Data Engineer

Columbia, MD · On-site

$160K - $200K/yr

This role sits at the intersection of backend data infrastructure and front-end visualization ... engineering environment. Key Responsibilities: - Design, build, and maintain backend services that ...

New

Data Engineer

Laurel, MD · On-site

$160K - $200K/yr

This role sits at the intersection of backend data infrastructure and front-end visualization ... engineering environment. Key Responsibilities: - Design, build, and maintain backend services that ...

New

Experience with statistical programming languages such as Python (using libraries like Pandas, NumPy, and Matplotlib) or R for complex analysis and automation. Data Visualization Tools: Hands-on ...

Experience with statistical programming languages such as Python (using libraries like Pandas, NumPy, and Matplotlib) or R for complex analysis and automation. • Data Visualization Tools: Hands-on ...

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

General Join our engineering team as a Data Platform Engineer where you'll build robust data ... Implement visualization and reporting solutions that make complex data accessible to stakeholders.

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

General Join our engineering team as a Data Platform Engineer where you'll build robust data ... Implement visualization and reporting solutions that make complex data accessible to stakeholders.

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

Implement visualization and reporting solutions that make complex data accessible to stakeholders ... Two (2) or more years of software engineering experience. * Proficiency in C# and Python.

Senior Data Scientist

Chantilly, VA · On-site

$130K - $160K/yr

Programming languages such as Python(inclusive of libraries that are used in data science e.g ... Working with data visualization tools and creating data visualization concepts * Experience ...

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Entry Level Data Visualization Engineer information

See Washington, DC salary details

$50.4K

$146.9K

$201K

How much do entry level data visualization engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for entry level data visualization engineer in Washington, DC is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 per year, depending on experience, location, and employer.
What are popular job titles related to Entry Level Data Visualization Engineer jobs in Washington, DC? For Entry Level Data Visualization Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Visualization Engineer jobs in Washington, DC look for? The top searched job categories for Entry Level Data Visualization Engineer jobs in Washington, DC are:
Infographic showing various Entry Level Data Visualization Engineer job openings in Washington, DC as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.

Data Scientist

KDA Consulting Inc

Mclean, VA • On-site

Full-time

Re-posted 9 days ago


Job description

KDA Consulting Inc. is seeking a highly skilled Data Scientist with AI/ML expertise to support mission-critical programs within the Intelligence Community (IC). This role will focus on leveraging advanced analytics, machine learning, and artificial intelligence to extract insights from large, complex datasets and support data-driven decision-making.

The ideal candidate will have a strong foundation in statistical analysis, machine learning model development, and data visualization, along with the ability to translate complex findings into actionable insights for both technical and non-technical stakeholders.

Machine Learning & AI Development

  • Design, develop, and deploy machine learning models to solve complex mission problems
  • Build predictive and prescriptive analytics solutions to support operational and strategic decision-making
  • Evaluate model performance and continuously improve algorithms through testing and tuning

Data Analysis & Exploration

  • Analyze large, structured and unstructured datasets to identify trends, patterns, and anomalies
  • Perform data cleansing, feature engineering, and transformation to prepare data for modeling
  • Apply statistical techniques to validate hypotheses and support analytical findings

Data Visualization & Communication

  • Develop dashboards, visualizations, and reports using tools such as Tableau, Power BI, or Python visualization libraries
  • Communicate insights and recommendations clearly to both technical teams and senior leadership
  • Translate complex analytical results into actionable business or mission outcomes

Model Deployment & Integration

  • Collaborate with data engineers and software developers to operationalize models into production environments
  • Integrate machine learning solutions into enterprise systems and workflows
  • Support cloud-based model deployment in environments such as AWS or Azure

Collaboration & Agile Delivery

  • Work closely with cross-functional teams including engineers, analysts, and mission stakeholders
  • Participate in Agile processes including sprint planning, stand-ups, and retrospectives
  • Contribute to continuous improvement of data science methodologies and processes

Requirements

Active TS/SCI W/ Polygraph Required.

Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience)

Strong experience in data science, machine learning, and statistical analysis

Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn

Experience analyzing and working with large-scale datasets

Strong understanding of statistical modeling, probability, and data analysis techniques

Experience with data visualization tools and communicating insights effectively

Strong problem-solving skills and ability to work in complex, mission-driven environments