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Data Engineer Jobs in New Mexico (NOW HIRING)

JCS Solutions LLC

Job Summary JCS Solutions LLC is seeking a highly skilled Senior Data/Visualization Engineer specializing in data visualization to join our team. The primary focus of this role is to design, develop ...

Booz Allen Hamilton

Data Architect

Albuquerque, NM · On-site

$61.75 - $79.50/hr

The role involves collaborating with engineers and business stakeholders to create scalable data architectures and improve data governance practices. Responsibilities : • Design and maintain ...

Cardinal Health

$72K - $91K/yr

The role emphasizes experimentation, rapid prototyping, and close collaboration with data engineers, data scientists, and business stakeholders. Responsibilities * Document and evaluate business ...

Booz Allen Hamilton

Data Architect, Senior

Albuquerque, NM

$65.25 - $87.25/hr

You Have: * 5+ years of experience in data architecture, data engineering, or analytics engineering, including ownership of enterprise or program-level data models * Experience with SQL and database ...

Leidos

Data/Visualization Engineer SME

Albuquerque, NM

$131K - $237K/yr

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 ...

Cardinal Health

Job Overview We are seeking a product-oriented Data Science professional who partners with engineering and developer teams to turn analytical concepts into real, working business solutions. In this ...

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All JobsData Engineer JobsData Engineer Jobs in New Mexico

Data Engineer information

See New Mexico salary details

$43.1K

$125.7K

$172K

How much do data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data engineer in New Mexico is $125,705.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $133,200.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in New Mexico?

The most popular types of Data Engineer jobs in New Mexico are:

What are popular job titles related to Data Engineer jobs in New Mexico?

For Data Engineer jobs in New Mexico, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in New Mexico look for?

The top searched job categories for Data Engineer jobs in New Mexico are:

What cities in New Mexico are hiring for Data Engineer jobs?

Cities in New Mexico with the most Data Engineer job openings:

What are popular job titles related to Data Engineer jobs in NM?

For Data Engineer jobs in NM, the most frequently searched job titles are:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in New Mexico as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $125,705 per year, or $60.4 per hour.

Senior Data/Visualization Engineer

JCS Solutions LLC

Kirtland Air Force Base, NM • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

Grow, innovate, and generate progress: Harness your expertise to solve challenges and celebrate success!
Job Summary
JCS Solutions LLC is seeking a highly skilled Senior Data/Visualization Engineer specializing in data visualization to join our team. 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.
What's in it for you:
  • Join a premier technology firm specializing in innovative solutions.
  • Be part of a collaborative, inclusive, and innovative work culture.
  • Enjoy tremendous growth potential in a high-performing team environment.
  • A robust benefits package:
    • Health, dental, and vision insurance
    • Life insurance
    • Short-and-long term disability
    • Paid time off (PTO)
    • 401k retirement plan with employer match
    • Annual Professional Development Reimbursement Program
    • And more!

What you will do:
  • Dashboard Development - Design, build, and deploy interactive dashboards, reports, and dossiers using Power BI and MicroStrategy
  • 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.
  • Education - Bachelor's degree in Computer Science, Information Systems, Business Analytics, Statistics, or a related field.

What you will bring:
  • Requires BS and 8+ years of prior relevant experience or Masters with 6+ years of prior relevant experience, additional years of experience will be accepted in lieu of a degree.
  • Certification: Active IAT Level II certification (e.g., Security+ CE, CySA+, GSEC, or SSCP) 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.
  • Citizenship: United States Citizenship is required.
  • Security Clearance: Active Top Secret / Sensitive Compartmented Information (TS/SCI) required at time of hire.

How you will wow us:
  • 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.

JCS Solutions (JCS) is a premier technology firm providing innovative solutions and high-quality services in defense, national security, and civilian sectors. JCS offers enterprise-wide solutions including cloud computing, software development, cybersecurity, digital modernization, and management consulting for the federal government. At JCS, we elevate our customers' mission through the application of technology and professional services. Our commitment to investing in our workforce drives innovation and progress for our clients, employees, and communities.
JCS is both a Great Place to Work and a Top Places to Work certified company.
Our employees embody our core values, and we are looking for others who do too!
  • Customer Experience: Strive for excellence and delight our clients
  • Innovation: Embrace creative thinking to enable continual growth and powerful solutions
  • Accountability: Take ownership of and pride in our actions and service delivery
  • Inspire: Be inspired to be your best self and have fun in the process
  • Integrity: Do the right thing, the right way, every time!
  • Stewardship: The careful and responsible management of something entrusted to our care.
At JCS Solutions, compensation is based on a number of factors such as location, qualifications, and applicable contract terms. The general salary range for this position is as follows: $70,000.00 - $105,000.00
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to any protected status protected by applicable federal, state, or local laws.
NOTICE: Please be aware that all JCS Solutions communications related to job interviews and offers from our recruiting team willonlycome from @JCSSolutions.com. We want to emphasize thatwe do not conduct any interviews over Discord, Slack, Skype, Zoom, or any chat app.

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