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Manager Data Engineering Jobs in New Mexico (NOW HIRING)

Booz Allen Hamilton

Data Architect

Albuquerque, NM · On-site

$61.75 - $79.50/hr

  • Medical

  • Life

  • Retirement

  • PTO

As a Junior Data Architect, you'll work alongside engineers, analysts, and business stakeholders to ... Knowledge ofdata governance concepts, including data quality, metadata management, and data ...

Booz Allen Hamilton, Inc.

Data Architect

Albuquerque, NM · On-site +1

$61.75 - $79.50/hr

  • Medical

  • Life

  • Retirement

  • PTO

As a Junior Data Architect, you'll work alongside engineers, analysts, and business stakeholders to ... Knowledge of data governance concepts, including data quality, metadata management, and data ...

Booz Allen Hamilton, Inc.

Data Architect

Albuquerque, NM · On-site

$61.75 - $79.50/hr

  • Medical

  • Life

  • Retirement

  • PTO

As a Junior Data Architect, you'll work alongside engineers, analysts, and business stakeholders to ... Knowledge of data governance concepts, including data quality, metadata management, and data ...

University of New Mexico

Data Manager

Albuquerque, NM · On-site

  • Medical

  • Dental

  • Vision

  • Life

Data Manager will provide administrative, technical, and operational support to ensure the ... Supervises or oversees the work of programming and/or data entry staff and/or student employees.

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Showing results 21-40

All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in New Mexico

Manager Data Engineering information

See New Mexico salary details

$30K

$94.1K

$166.7K

How much do manager data engineering jobs pay per year?

As of Aug 18, 2026, the average yearly pay for manager data engineering in New Mexico is $94,140.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $121,600.00 per year, depending on experience, location, and employer.

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

What are the key skills and qualifications needed to thrive as a manager data engineering?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

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

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

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

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

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

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

Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in New Mexico as of July 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $94,140 per year, or $45.3 per hour.

Automation Engineer

Edgewater Federal Solutions, Inc.

Albuquerque, NM • On-site

Other

Posted 29 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, Google Cloud Platform, 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
  • 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, Google Cloud Platform) 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

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