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

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Automation Engineer

Albuquerque, NM · On-site

$118K - $128K/yr

Evaluate and recommend data ingestion and pipeline tools (open source and vendor solutions) to ... Strong programming skills in Python and SQL. * Experience designing, developing, and consuming ...

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 ...

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Data Engineer information

See Rio Rancho, NM salary details

$41.9K

$122K

$167K

How much do data engineer jobs pay per year?

As of Sep 10, 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.

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:

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

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

What cities near Rio Rancho, NM are hiring for Data Engineer jobs?

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

Infographic showing various Data Engineer job openings in Rio Rancho, NM as of September 2026, with employment types broken down into 6% Internship, 77% Full Time, 6% Part Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $122,012 per year, or $58.7 per hour.

Automation Engineer

Albuquerque, NM • On-site

Edgewater Federal Solutions, Inc.
IT Services • 11 - 50 employees

Full-time

Re-posted 16 days ago


Job description

Overview
Edgewater Federal Solutions is seeking an Automation Engineer to support a major national laboratory.
We are seeking someone with experience with automation and orchestration tools such as Ansible, Puppet, and Chef. Experience in UNIX, Linux, and/or Windows Operating System (OS), including file management, scripting, editing, and security. Experience with a variety of programming languages, software, or tools to develop regular or ad-hoc queries from large datasets. Familiar with network communication protocols, and other related protocols. Ability to implement solutions integrating Rest application program interface (API) based web services.
Responsibilities
  • Evaluate and recommend data ingestion and pipeline tools (open source and vendor solutions) to support scalable data workflows.
  • Design and implement data pipelines to ingest, process, and transform structured and unstructured data from diverse sources.
  • Develop and manage data orchestration workflows using open-source or COTS tools to automate and monitor complex data pipelines.
  • Design, develop, and maintain APIs or leverage existing APIs to enable seamless data integration across COTS, custom-built applications, and data platforms.
  • Work with both on-premises infrastructure (Oracle/Microsoft databases, MongoDB) and cloud platforms (AWS, Azure, GCP, or others) to support current and future data architectures.
  • Integrate data pipelines with various applications, ensuring seamless data flow and interoperability.
  • Collaborate with database administrators, application owners, solution architects, and other stakeholders to understand data requirements and deliver robust solutions.
  • Implement and manage data virtualization solutions, with a preference for experience in Denodo.
  • Ensure data quality, security, and compliance throughout the data lifecycle.
  • Document processes, architectures, and best practices for data engineering workflows

Qualifications
  • BS in relevant discipline plus minimum 3 years or more years of directly related experience that demonstrates the knowledge, skills, and ability to perform the duties of the job.
  • Must be able to obtain and maintain a DOE Security Clearance
  • Must be US Citizen
  • Work is performed onsite and therefore candidate must reside in the Albuquerque area.

Required Skills:
  • Knowledge in automation technologies such as Ansible, Puppet, or Chef.
  • Strong programming skills in Python and SQL.
  • Experience designing, developing, and consuming RESTful APIs and other API technologies to facilitate data integration and interoperability.
  • Experience with ETL/ELT tools and frameworks (e.g., dbt, PySpark).
  • Proven experience (3+ years) in data engineering, data pipeline development, and tool evaluation.
  • Excellent problem-solving skills and ability to work collaboratively in a cross-functional team.

Desired Skills:
  • Knowledge of data virtualization concepts and experience with Denodo preferred.
  • Hands-on experience with data orchestration tools such as Apache Airflow, Prefect, Luigi, or similar platforms for workflow automation and scheduling.
  • Familiarity with big data technologies (Hadoop, Spark, Kafka) is a plus.
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and hybrid data architectures.
  • Experience integrating data pipelines with COTS and custom applications.
  • Strong understanding of data modeling, metadata management, and data governance.

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. #LI-VA1