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Data Engineer Jobs in New Mexico (NOW HIRING)

Cardinal Health

What Data Engineering contributes to Cardinal Health As a Databricks Data Engineer with a Solution Architect background , you will lead the design of enterprise-scale data solutions, establish ...

SCEYE INC

Data Analyst

Moriarty, NM · On-site

Partner with Flight Test, Systems Engineering, and Avionics teams to answer data-driven questions about vehicle performance. * Support post-flight data reduction and analysis to inform engineering ...

New

Raytheon

RF Data Link Engineer II

Albuquerque, NM

The Advanced Effector Guidance Systems team is currently searching for Electrical Engineers who have experience designing wireless communication and data links. This role includes design and test ...

Cardinal Health

$89K - $121K/yr

We currently have a career opening for a Sr Engineer, SAP Master Data! The scope of this role is to provide subject matter expertise as part of the Master Data Management organization within Cardinal ...

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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.

Subject Matter Data Center Network Engineer

Edgewater Federal Solutions, Inc.

Albuquerque, NM • On-site

Full-time

Re-posted 10 days ago

Job description

Overview

Edgewater Federal Solutions is seeking a Subject Matter Data Center Network Engineer to support a major national laboratory. 

Responsibilities
  • Provide technical knowledge and analysis for specialized applications and operational environments.
  • Perform functional systems analysis, design, integration, and documentation.
  • Apply advanced principles, methods, and knowledge to solve complex technical problems and develop automated solutions for engineering and scientific applications.
  • Assist with system improvements, optimization, development, and maintenance efforts in areas such as information systems architecture, networking, telecommunications, automation, communications protocols, risk management, software lifecycle management, software development methodologies, and modeling and simulation.
  • Analyze user needs, define functional requirements, and develop plans to address moderately complex to extremely complex systems.
  • Develop recommendations for system improvements and provide expertise recognized within the professional community.
Qualifications
  • Requires BS in relevant discipline plus a minimum of 3 years, or more, of directly related experience that demonstrates the knowledge, skills, and ability to perform the duties.
  • In lieu of degree, 9 years of Related experience may be substituted for relevant education and vice versa.
  • Ability to obtain & maintain a U.S. Dept. of Energy Clearance
  • U.S. Citizenship is required.

Required Skills:

  • Experience working in missioncritical production environments with change control, incident response, and structured troubleshooting.
  • Ability to work safely and effectively in live data center spaces (DCFIT coordination, raised floor environments, cabling standards).
  • Strong analytical and troubleshooting abilities, with a demonstrated ability to drive issues to resolution during outages.
  • Clear verbal and written communication skills.
  • Ability to participate in oncall rotations and support afterhours change windows if needed.

Core Network Engineering Skills

  • Strong understanding of L2/L3 networking fundamentals: VLANs, STP, LACP, static routing, OSPF, BGP, ACLs, QoS.
  • Experience configuring and supporting major network vendors (any of): Cisco, Arista, Juniper, Mellanox/NVIDIA Networking.
  • Familiarity with multipath topologies, spineleaf architectures, and highbandwidth fabrics.
  • Understanding of basic firewall and segmentation concepts (paths, zones, NAT, routing symmetry).
  • Familiarity with enterprise cabling best practices: fiber types (LR/SR/ER), transceiver selection, rack elevation awareness.
  • Working knowledge of monitoring and telemetry: CloudVision, Netropy/Apposite tools, Nagios/Prometheus/Grafana, or similar.
  • Ability to follow SOPs/MOPs, support planned change windows, and adhere to structured rollback/validation procedures.

Desired Skills:

Advanced Network Expertise

  • Handson experience with Arista EOS, Cisco NXOS, Juniper JunOS, or Mellanox/NVIDIA platforms supporting 40/100/400Gbps networks.
  • Experience with BGP tuning, trafficengineering policies, ECMP management, asymmetricrouting detection, and complex routemap design.
  • Familiarity with EVPN/VXLAN, modern DC underlays, and highavailability routing gateway designs (HA router pairs, blue/green cutovers)
  • Experience troubleshooting firewall pathing issues, zone interactions, NAT64/NAT policy behavior, and segmentation used for HPC.

HPCSpecific Skills

  • Exposure to HPC networks and interconnects:
  • RDMA, RoCE, basic InfiniBand concepts (subnet managers, fabric behavior).
  • Understanding of congestion behaviors common in HPC (parallel I/O bursts, GPUnode communication patterns).
  • Familiarity moving or supporting HPC data flows across multisite infrastructures (trilab WAN, DisCom, IHPC routing).
  • Understanding of distributed HPC storage systems (Lustre, BeeGFS, Isilon, Spectrum Scale) and the routing or MTU constraints around them.
  • Ability to work with HPC teams during large cluster deployments (rack placement coordination, switch firmware updates, cabling checks).

Tooling & Automation

  • Handson experience with automation or configuration management tools (Ansible, Python, Terraform).
  • Ability to build or maintain dashboards and telemetry for HPC network utilization (CloudVision pipelines, Netropy test data).
  • Familiarity with gNMI/gRPC or streaming telemetry for performance analysis and anomaly detection.

Reliability, Capacity & Performance

  • Understanding of highavailability designs, reduced failure domains, and deterministic failover patterns in HPC networks.
  • Experience monitoring and optimizing latency, packet loss, MTU mismatches, and congestion across crypto tunnels or 100Gbps transport.
  • Ability to assist with capacity planning for rapidly growing HPC systems (rack density, port utilization, fiber paths, WAN circuit expansions).

About Us: 

Edgewater Federal Solutions is a privately held government contracting firm located in Frederick, MD. The company was founded in 2002 with the vision of being highly recognized and admired for supporting customer missions through employee empowerment, exceptional services and timely delivery. Edgewater Federal Solutions is ISO 9001, 20000-1, 270001 certified, appraised at CMMI Level 3 Maturity for Development and Services, and has been named in the Top Workplaces in the Greater Washington Area Small Companies for 2018 through 2025.

It has been and continues to be the policy of Edgewater Federal Solutions to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, marital status, veteran status, and/or other statuses protected by applicable law. 

Employment Type: FULL_TIME

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