1

Junior Data Visualization Jobs in Baltimore, MD (NOW HIRING)

... Visualization & Communication * Work closely with systems engineers, RF engineers, software ... Mentor junior data scientists and data engineers, providing technical guidance on methods, tools ...

... Visualization & Communication * Work closely with systems engineers, RF engineers, software ... Mentor junior data scientists and data engineers, providing technical guidance on methods, tools ...

The ideal candidate combines strong analytical and visualization skills with emerging AI/ML ... Mentors and guides junior team members on analytics best practices, metric design patterns, and ...

The ideal candidate combines strong analytical and visualization skills with emerging AI/ML ... Mentors and guides junior team members on analytics best practices, metric design patterns, and ...

The ideal candidate combines strong analytical and visualization skills with emerging AI/ML ... Mentors and guides junior team members on analytics best practices, metric design patterns, and ...

... data visualization, business analysis, and real-world data problem solving. Responsibilities ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

... data visualization, business analysis, and real-world data problem solving. Responsibilities ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Power BI Intern

Bowie, MD · On-site

$15/hr

... data visualization, business analysis, and real-world data problem solving. Responsibilities ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

... data visualization, business analysis, and real-world data problem solving. Responsibilities ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

... data visualization, business analysis, and real-world data problem solving. Responsibilities ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

... data visualization, business analysis, and real-world data problem solving. Responsibilities ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

... data visualization, business analysis, and real-world data problem solving. Responsibilities ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Power BI Intern

Towson, MD · On-site

$15/hr

... data visualization, business analysis, and real-world data problem solving. Responsibilities ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Showing results 21-40

Junior Data Visualization information

See Baltimore, MD salary details

$34.3K

$78.8K

$126.7K

How much do junior data visualization jobs pay per year?

As of Aug 30, 2026, the average yearly pay for junior data visualization in Baltimore, MD is $78,847.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,600.00 and $81,000.00 per year, depending on experience, location, and employer.

What is a junior data visualization?

Junior Data Visualization professionals are entry-level specialists who assist in transforming raw data into graphical representations like charts, graphs, and dashboards. They typically work with tools such as Tableau, Power BI, or Excel to help organizations interpret data and make informed decisions. Their responsibilities often include preparing datasets, creating basic visualizations, and supporting more senior team members on larger projects. These roles require foundational knowledge of data analysis, visualization best practices, and sometimes basic programming skills.

What are the key skills and qualifications needed to thrive as a junior data visualization specialist?

To thrive as a Junior Data Visualization specialist, you need a solid understanding of data analysis, basic statistics, and visual storytelling, typically supported by a degree in a quantitative field. Familiarity with tools such as Tableau, Power BI, or Python libraries like Matplotlib and Seaborn is often required, alongside knowledge of Excel and SQL. Strong attention to detail, creativity, and effective communication skills help you convey complex data insights clearly to diverse audiences. These abilities are crucial for transforming raw data into actionable insights that drive informed business decisions.

What types of projects can a junior data visualization specialist expect to work on, and how do they typically collaborate with other teams?

As a Junior Data Visualization specialist, you can expect to work on projects that involve transforming raw data into clear, interactive visuals such as charts, dashboards, and infographics. These projects often support business teams in making data-driven decisions. You'll frequently collaborate with data analysts, engineers, and business stakeholders to understand data requirements and ensure your visualizations effectively communicate key insights. It's common to participate in team meetings, gather feedback, and make iterative improvements to your work. Over time, you'll gain exposure to different data tools and business domains, which can open up opportunities for advancement.

What is the difference between Junior Data Visualization vs Data Analyst?

AspectJunior Data VisualizationData Analyst
Required SkillsBasic data visualization tools, introductory analyticsData manipulation, statistical analysis, visualization
Experience LevelEntry-level, beginnerEntry to mid-level, some experience
Work EnvironmentDesign-focused, visualization toolsBroader data analysis, reporting
Common ToolsTableau, Power BI, ExcelSQL, Excel, Tableau, R/Python

Junior Data Visualization roles focus on creating visual representations of data using basic tools, often under supervision. Data Analysts perform broader data analysis, including statistical work and reporting, with more advanced skills and experience. While both roles involve data visualization, Data Analysts typically handle more complex analysis tasks and data management.

How to start a career in data visualization?

To start a career in data visualization, develop skills in data analysis, graphic design, and tools like Tableau, Power BI, or Excel. Obtain a relevant degree or certification, build a portfolio of visual projects, and gain experience through internships or freelance work to demonstrate your ability to communicate data effectively.

Is data visualization a good career?

Data visualization is a valuable career path for those interested in analyzing and presenting data visually using tools like Tableau, Power BI, or Python. It offers opportunities in various industries, often requires strong analytical and technical skills, and can lead to roles such as data analyst or business intelligence specialist.

Is data visualization in high demand?

Data visualization is in high demand across industries as organizations seek to interpret large data sets effectively. Junior data visualization roles often require skills in tools like Tableau or Power BI and are expected to grow as data-driven decision-making becomes more prevalent.

What are the most commonly searched types of Data Visualization jobs in Baltimore, MD?

The most popular types of Data Visualization jobs in Baltimore, MD are:

What job categories do people searching Junior Data Visualization jobs in Baltimore, MD look for?

The top searched job categories for Junior Data Visualization jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Junior Data Visualization jobs?

Cities near Baltimore, MD with the most Junior Data Visualization job openings:

Infographic showing various Junior Data Visualization job openings in Baltimore, MD as of August 2026, with employment types broken down into 85% Full Time, 7% Part Time, and 8% Contract. Highlights an 82% In-person, 7% Hybrid, and 11% Remote job distribution, with an average salary of $78,847 per year, or $37.9 per hour.

Senior Data Scientist

Parsons Corporation

Aberdeen, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Parsons rating

7.7

Company rating: 7.7 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

266th of 450 rated engineering


Job description

In a world of possibilities, pursue one with endless opportunities. Imagine Next!
At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what's possible.
Job Description:
Parsons is seeking a Senior Data Scientist to support our cutting-edge Drone Armor counter-unmanned aerial systems (C-UAS) program. This role provides professional scientific data engineering and data science, requiring the application of data and engineering sciences, mathematics, and electronic phenomena to design, implement, and optimize data-centric capabilities. The Senior Data Scientist will focus on software coding, data interoperability, cloud technology, data mesh, and data tagging to enable advanced analytics, decision-support, and mission effectiveness.
What You'll Be Doing
Data Science, Analytics & Modeling
  • Design and implement data science workflows and analytics to support C-UAS detection, tracking, classification, and decision-support
  • Develop and apply statistical, machine learning, and optimization techniques to extract insight from multi-source sensor, RF, telemetry, and operational data
  • Build, evaluate, and refine models for anomaly detection, threat assessment, and system performance prediction in real-time or near-real-time environments
  • Translate mission and system requirements into data-driven approaches, metrics, and analytic products consumable by operators, engineers, and leadership

Data Engineering, Interoperability & Data Mesh
  • Design and implement data pipelines for ingestion, transformation, enrichment, and distribution of data across a data mesh architecture
  • Engineer data interoperability solutions across heterogeneous systems, sensors, and platforms, using common data models, schemas, and open standards where appropriate
  • Collaborate on the design and implementation of a data mesh or data fabric for Drone Armor, enabling discoverable, shareable, and governed data products across teams and systems
  • Ensure data solutions are robust, secure, maintainable, and aligned with program architecture, performance, and interoperability standards

Cloud Technology & Data Platforms
  • Architect and implement data pipelines, storage, and analytics capabilities in cloud or hybrid environments (e.g., commercial, tactical, or private cloud)
  • Leverage cloud-native services and technologies for scalable data processing, streaming, and model deployment
  • Optimize data and analytics workloads for resilience, performance, and cost within cloud-based infrastructures
  • Integrate on-premise, edge, and cloud components into cohesive end-to-end data and analytics solutions for mission operations

Data Tagging, Governance & Quality
  • Design and implement data tagging strategies (e.g., metadata, security labels, lineage tags) to support discoverability, access control, and policy compliance
  • Define and enforce data quality metrics, validation rules, and monitoring to ensure the reliability of analytics and downstream decision-making
  • Work with stakeholders to establish data governance practices, including data cataloging, classification, and lifecycle management
  • Support the creation of well-documented, reusable data products and datasets within the data mesh

Collaboration, Visualization & Communication
  • Work closely with systems engineers, RF engineers, software developers, and operators to understand mission needs and translate them into data and analytics requirements
  • Develop visualizations, dashboards, and analytic reports that clearly communicate complex findings to both technical and non-technical audiences
  • Mentor junior data scientists and data engineers, providing technical guidance on methods, tools, and best practices
  • Contribute to technical reviews, design walkthroughs, and continuous improvement of data science and data engineering practices

What Required Skills You'll Bring
Education
  • Master's degree in Computer Science, Electronics Engineering, or other engineering or technical discipline is required
    OR
  • 8 years of relevant experience in data science, data engineering, or related fields may be substituted for education
Experience
  • Experience applying data and engineering sciences, mathematics, and electronic phenomena to real-world systems or mission problems
  • Experience designing and implementing data pipelines and data interoperability solutions in complex, multi-system environments
  • Experience with cloud-based or hybrid data and analytics solutions, including data storage, processing, and model deployment
  • Experience working with data mesh or similar distributed data architectures, including data product design and governance
  • Experience with data tagging, metadata management, and data cataloging to support discoverability, security, and compliance
  • Experience reacting to and resolving data-related issues (e.g., quality, latency, integrity, model performance) in complex or mission-critical systems

Technical Competencies
  • Proficiency in one or more languages commonly used for data science and data engineering (e.g., Python, R, Scala, or similar), including use of relevant libraries and frameworks
  • Strong understanding of data engineering concepts: ETL/ELT, streaming, batch processing, APIs, and event-driven data flows
  • Familiarity with cloud data and analytics services (e.g., managed databases, data lakes, streaming services, containerized processing)
  • Knowledge of data modeling, schemas, and standards used in sensor, RF, telemetry, or ISR/C2 environments is a plus
  • Strong analytical and communication skills, capable of explaining complex data and model behavior, trade-offs, and limitations to both technical and non-technical stakeholders

Security & Citizenship
  • Must be a US Citizen
  • Ability to obtain and maintain a security clearance (SECRET or higher; specific level may be defined by program requirements)

What Desired Skills You'll Bring
Advanced Education & Certifications
  • Master's or higher degree in Data Science, Computer Science, Electrical/Electronics Engineering, or related discipline
  • Professional certifications in cloud platforms, data engineering, or data science/ML
Specialized Experience
  • Experience supporting DoD, defense, ISR, C-UAS, or other mission/operations-focused data and analytics systems
  • Experience working with multi-sensor or multi-int data fusion, track management, or situational awareness systems
  • Experience implementing data mesh or data fabric strategies in distributed, real-time, or high-availability environments
Additional Technical Skills
  • Experience with data processing and orchestration tools (e.g., Airflow, NiFi, Spark, Flink, or similar)
  • Experience with containerization (Docker), orchestration (Kubernetes), and CI/CD workflows for data and model deployment
  • Familiarity with Agile/Scrum methodologies and modern issue tracking/ALM tools
  • Experience with visualization and BI tools (e.g., Grafana, Kibana, Power BI, Tableau, or similar) for operational and analytic dashboards

Security Clearance Requirement:
An active Secret security clearance is required for this position.
This position is part of our Federal Solutions team.
The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now.
Salary Range: $112,200.00 - $196,400.00
We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!
Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.
We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY!
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.

What Parsons employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom