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Data Visualization Jobs in Albuquerque, NM (NOW HIRING)

Leidos is seeking a highly skilled Data Visualization Engineer SME specializing in data visualization to join our team in Fort Belvoir, VA or Albuquerque, New Mexico. The primary focus of this role ...

Skilled at teaching data manipulation, visualization creation, and insight extraction from data sets. Guides students through importing and cleaning data, calculating summary statistics, creating ...

Data Science Tutor

Albuquerque, NM · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, and real-world data problem solving. Responsibilities * Assist in designing ...

This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, and real-world data problem solving. Responsibilities * Assist in designing ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of Power BI data modeling, DAX formulas, data visualization, report design, dashboard creation, data transformation with Power Query, data source connections, and sharing and ...

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Showing results 1-20

Data Visualization information

See Albuquerque, NM salary details

$52.3K

$106.1K

$156.5K

How much do data visualization jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data visualization in Albuquerque, NM is $106,093.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,200.00 and $119,200.00 per year, depending on experience, location, and employer.

What is data visualization?

Data visualization is the process of taking statistical data and preparing it in a visual context that is easier to understand. You use software and graphics to demonstrate patterns, correlations, and trends that appear more significant when viewed outside of a written context. Visual representation comes in the form of infographics, heat maps, geographic maps, and detailed pie or bar charts. Business intelligence recognizes the need for appropriate colors and images and is now standard for modern organizations. Data visualization is also a reporting tool that tracks performance and generates dashboards to observe click-through rates digital marketing campaigns.

What is the difference between Data Visualization vs Data Analyst?

AspectData VisualizationData Analyst
Primary FocusCreating visual representations of dataAnalyzing and interpreting data
SkillsData visualization tools, graphic design, storytellingStatistical analysis, Excel, SQL, data interpretation
ToolsTableau, Power BI, D3.jsExcel, SQL, R, Python
Work EnvironmentDesign-focused, often collaborative with data teamsAnalytical, research-oriented, cross-departmental

Data Visualization specialists focus on creating visual representations to communicate data insights effectively, while Data Analysts analyze data to uncover trends and inform decisions. Both roles often collaborate but serve different core functions within data-driven organizations.

What is data visualization?

Data visualization is the process of representing data and information in a graphical or pictorial format, such as charts, graphs, or maps. This practice helps people understand complex data sets more easily by highlighting patterns, trends, and outliers. Data visualization is widely used in various industries to support decision-making, communicate insights, and make data more accessible to a broader audience.

Is data visualization a good career?

Data visualization is a valuable career in data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It requires strong analytical skills, knowledge of data tools, and the ability to communicate insights effectively, making it a growing field with increasing demand across industries.

What are some common challenges faced by professionals in data visualization roles, and how can they be addressed?

Professionals in Data Visualization often encounter challenges such as translating complex datasets into clear, meaningful visuals and ensuring that visualizations are both accurate and accessible to diverse audiences. Balancing aesthetic appeal with functionality can also be demanding, as visuals must communicate insights without causing confusion. To address these challenges, effective collaboration with data analysts, subject matter experts, and end-users is essential, as is staying current with best practices and visualization tools. Regular feedback and iteration help refine visualizations to best meet stakeholders' needs.

What are the key skills and qualifications needed to thrive as a data visualization specialist, and why are they important?

To thrive as a Data Visualization Specialist, you need strong analytical abilities, a solid foundation in statistics, and proficiency with data visualization principles, typically supported by a degree in data science, computer science, or a related field. Familiarity with visualization tools such as Tableau, Power BI, or D3.js, and experience with data processing languages like Python or R, are commonly required. Creativity, attention to detail, and effective communication skills help convey complex data insights clearly to diverse audiences. These skills ensure that data is transformed into actionable, visually compelling insights that drive informed decision-making within organizations.

Does data visualization pay well?

Data visualization professionals typically earn competitive salaries, especially with experience and proficiency in tools like Tableau, Power BI, or D3.js. Salaries vary by industry, location, and skill level but generally align with other data analysis roles, with higher pay for those who combine visualization skills with data analysis or programming expertise.

What skills are needed for data visualization jobs?

Data visualization jobs require skills in data analysis, proficiency with visualization tools like Tableau, Power BI, or D3.js, and a strong understanding of design principles to create clear, effective visuals. Knowledge of programming languages such as Python or R and the ability to interpret complex data sets are also important. Additionally, good communication skills help in explaining insights to non-technical stakeholders.
What are the most commonly searched types of Data Visualization jobs in Albuquerque, NM? The most popular types of Data Visualization jobs in Albuquerque, NM are:
What job categories do people searching Data Visualization jobs in Albuquerque, NM look for? The top searched job categories for Data Visualization jobs in Albuquerque, NM are:
Infographic showing various Data Visualization job openings in Albuquerque, NM as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $106,093 per year, or $51 per hour.

Data/Visualization Engineer SME

Leidos

Albuquerque, NM • On-site

$131K - $237K/yr

Full-time

Posted 9 days ago


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 151 frontline employees who took The Breakroom Quiz

76th of 482 rated business services


Job description

Leidos is seeking a highly skilled Data Visualization Engineer SME specializing in data visualization to join our team in Fort Belvoir, VA or Albuquerque, New Mexico. The primary focus of this role is to design, develop, and maintain informative dashboards and reports utilizing Power BI and MicroStrategy. The successful candidate will play a critical mission-support role by transforming complex datasets into clear, actionable insights that directly facilitate business strategy, decision-making, and IT Operations sustainment..in support of critical mission requirements enhancing the reliability and security of Department of War (DoW) networks and systems.

Clearance: Active Secret clearance at time of hire and able to obtain Top Secret / Sensitive Compartmented Information (TS/SCI).

Primary Responsibilities:

  • Dashboard Development - Design, build, and deploy interactive dashboards, reports, and dossiers using Power BI and

  • MicroStrategy

  • The information in this document is proprietary to Leidos. It may not be used, reproduced, disclosed, or exported without the written approval of Leidos.

  • Leidos Proprietary

  • IT Operations Support - Identify, extract, and analyze relevant data specifically in support of IT Operations and system

  • sustainment initiatives.

  • Data Integration & ETL - Extract, transform, and load (ETL) data from disparate structured and unstructured data

  • sources to prepare it for analysis and visualization.

  • Stakeholder Collaboration - Partner with business leaders and IT decision-makers to gather requirements and translate

  • business needs into technical visualization specifications.

  • Data Analysis - Interrogate and analyze complex datasets to uncover critical trends, patterns, and insights that support

  • strategic initiatives.

  • Optimization & Quality Assurance - Validate data accuracy, troubleshoot reporting anomalies, and optimize dashboard

  • performance for end-users.

  • User Enablement - Provide guidance, documentation, and training to end-users on how to effectively interact with and

  • interpret the visualization tools.

  • Documentation & Standards - Develop and maintain comprehensive documentation, standard operating procedures, and

  • data dictionaries in support of delivered products.

  • Compliance & Documentation: Ensure all tools comply with DoW STIGs and IL5/IL6/IL7 protocols; develop and

  • maintain architectural documentation and compliance traceability.

Basic Qualifications:

  • Requires BS and 12 - 15 years of prior relevant experience or Masters with 10 - 13 years of prior relevant experience. May possess a Doctorate in technical domain - additional years of experience will be accepted in lieu of a degree.

  • Security Clearance: Active Secret clearance at time of hire and able to obtain Top Secret / Sensitive Compartmented Information (TS/SCI).

  • Certification: Active IAT Level II certification (e.g., Security+ CE, CySA+, GSEC, or SSCP) required.

  • Citizenship: United States Citizenship is required.

  • Core Experience: Proven professional track record in data analysis, business intelligence, and building data visualizations for enterprise use.

  • Domain Knowledge: Familiarity with IT Operations and sustainment, including a strong understanding of how to

  • identify and apply relevant data to support these functions.

  • Data Integration / ETL: Experience with data extract, transform, and load (ETL) techniques using disparate structured

  • and unstructured data sources.

  • Technical Proficiency: Advanced hands-on experience with Power BI (including DAX and Power Query) and MicroStrategy (including Dossiers and standard reporting).

  • Database Skills: Strong command of SQL and experience querying complex relational databases and data warehouses.

  • Communication: Excellent verbal and written communication skills, with the ability to present technical data findings clearly to non-technical audiences.

Preferred Qualifications:

  • Advanced Scripting: Familiarity with Python or R for advanced data manipulation and statistical analysis.

  • Certifications: Relevant industry certifications in Power BI (e.g., Microsoft Certified: Data Analyst Associate) or

  • MicroStrategy.

  • Data Architecture: Understanding of data warehousing concepts and advanced semantic layer modeling.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:July 28, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $131,300.00 - $237,350.00

The Leidos pay range for this job level is a general guideline onlyand 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.


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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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