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Data Engineer Jobs in Rio Rancho, NM (NOW HIRING)

University of New Mexico

Data Manager

Albuquerque, NM · On-site

  • Medical

  • Dental

  • Vision

  • Life

Supervises or oversees the work of programming and/or data entry staff and/or student employees. * Maintains currency of knowledge with respect to relevant state-of-the-art technology, equipment, and ...

Intel

APTM Yield Analysis/Device Engineer

Albuquerque, NM · On-site

  • Medical

  • Retirement

  • PTO

As a yield analysis engineer, the successful candidate will set priorities for the team, get ... Extract insights from structured and unstructured data by quickly synthesizing large volumes of ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Rio Rancho, NM

Data Engineer information

See Rio Rancho, NM salary details

$41.9K

$122K

$167K

How much do data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data engineer in Rio Rancho, NM is $122,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,700.00 and $129,300.00 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 Rio Rancho, NM?

The most popular types of Data Engineer jobs in Rio Rancho, NM are:

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

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Cities near Rio Rancho, NM with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Rio Rancho, NM as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,012 per year, or $58.7 per hour.

Principal Engineer - Airborne Hardware

Data Device Corporation

Albuquerque, NM • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Company Overview
For more than 60 years, Data Device Corporation (DDC) has been recognized as a world leader in the design and manufacture of high-reliability Connectivity, Power, and Control solutions for the Aerospace, Defense, and Space industries. Our dedication to supplying quality products, on-time delivery, and superior support, has contributed to the success of our customers and the critical missions they serve.
Great River Technology (GRT) located in Albuquerque, NM, a wholly owned subsidiary of Data Device Corporation, is a leader in high performance digital video and data development tools and services for the mil/aero industry. Since it's founding in 1996, it has developed partnerships with leading commercial and military companies worldwide.
This position is 100% onsite at GRT in Albuquerque, NM.
Due to U.S. export control requirements, this position is open only to candidates who qualify as a "U.S. Person." This generally includes U.S. citizens, U.S. nationals, lawful permanent residents/green card holders, and certain protected individuals, including refugees and asylees.
Description:
Great River Technology (GRT) is searching for a Principal Hardware Engineer to serve as a Subject Matter Expert (SME) in ARINC 818 digital video interface design, testing, simulation, and VHDL implementation within the aerospace domain. This role requires an individual with a proven track record of architecting, developing, and verifying complex airborne electronic hardware, with a particular emphasis on high-speed digital video and data communication systems. The successful candidate will provide technical depth and leadership, mentor junior engineers, and significantly contribute to the strategic direction of GRT's hardware development initiatives.
Responsibilities:
  • ARINC 818 Expertise:
    • Serve as the primary technical authority for all aspects of ARINC 818 design, including Fibre Channel protocols, video formats, timing, and link integrity.
    • Lead the architectural definition, detailed design, and implementation of ARINC 818 interfaces for advanced avionics systems.
    • Develop and execute comprehensive test plans and procedures for ARINC 818 compliance, robustness, and performance validation, often leveraging custom test rigs and advanced instrumentation.
    • Pioneer and refine simulation methodologies for ARINC 818 links, including model development, analysis of signal integrity, and performance prediction in complex system environments.
  • VHDL Development & FPGA Design:
    • Design, develop, and verify complex VHDL code for high-performance FPGAs (e.g., Xilinx) used in mission-critical aerospace applications.
    • Expertise in FPGA architecture, floor planning, timing closure, synthesis, and place and route optimization for challenging aerospace requirements.
    • Implement digital signal processing (DSP) algorithms and video processing pipelines within FPGAs.
    • Develop comprehensive verification environments using VHDL, UVM, or other appropriate methodologies to ensure design integrity and functional correctness.
  • Hardware Design Leadership:
    • Lead the full lifecycle hardware development for airborne electronic systems, from requirements definition and conceptual design through detailed design, integration, verification, and production support.
    • Conduct in-depth analysis of power consumption, component stress, worst-case tolerances, and reliability for critical hardware components.
    • Collaborate extensively with cross-functional teams, including Systems Engineering, Software Development, and Manufacturing, to ensure seamless integration and optimal system performance.
    • Provide technical guidance and mentorship to junior and mid-level hardware engineers, fostering a culture of technical excellence and continuous improvement.
  • Certification & Compliance:
    • Deep understanding and proven experience with aerospace certification standards.
    • Contribute to the generation and review of airworthiness documentation, including hardware design plans, technical requirements, functional specifications, design specifications, qualification test plans and reports.
    • Ensure designs adhere to industry best practices, internal standards, and regulatory requirements.
  • Problem Solving & Innovation:
    • Identify, diagnose, and resolve complex hardware issues, utilizing advanced diagnostic tools and methodologies.
    • Stay abreast of emerging technologies, industry trends, and research in digital video, high-speed interfaces, and FPGA technology to drive innovation.
    • Propose and implement design improvements for existing products, focusing on quality, cost reduction, and component obsolescence management.

Required Qualifications:
  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Aerospace Engineering, or a related field.
  • 10+ years of progressive experience in hardware design and development within the aerospace or defense industry.
  • Extensive experience with VHDL for complex FPGA development in aerospace applications.
  • Proven ability to lead technical projects and mentor engineering teams.
  • Strong understanding of digital circuit design principles, high-speed digital interfaces, and signal integrity.
  • Proficiency with electronic design automation (EDA) tools for schematic capture, simulation (e.g., ModelSim/QuestaSim, Vivado Simulator), and FPGA development (e.g., Xilinx, Vivado).
  • Experience with test equipment such as oscilloscopes, logic analyzers, spectrum analyzers, and network analyzers.
  • Excellent problem-solving, analytical, and communication skills.
  • Ability to work effectively in a dynamic, collaborative, and highly regulated environment.

Preferred Qualifications:
  • Experience with other aerospace data bus standards.
  • Experience with Python or other scripting languages for test automation and data analysis.

Apply