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Remote Data Optimization Jobs in New Mexico (NOW HIRING)

Data Architect

Albuquerque, NM · On-site +1

$61.75 - $79.50/hr

Remote Work: No Job Number: R0236266 Location: Albuquerque,NM,US Share job via: Share Data ... Support development and optimization of ETL and ELT workflows that transform raw data into curated ...

Data Engineer

Albuquerque, NM · On-site +1

$111K - $133K/yr

Remote Work: No Job Number: R0237241 Location: Albuquerque,NM,US Share job via: Share Data Engineer ... processes, optimizing data delivery, and re-designing infrastructure for greater scalability.

$70 - $75/hr

Cloud Data Platform Administrator, fully Remote, with our direct client | Federal Reserve Board ... and optimization recommendations; address waste drivers (idle compute, oversized clusters ...

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Remote Data Optimization information

What is a Remote Data Optimization specialist?

A Remote Data Optimization specialist is a professional who works remotely to analyze, refine, and improve data systems and processes for organizations. Their main goal is to enhance the efficiency, accuracy, and usability of data, often by cleaning datasets, streamlining data flows, and implementing best practices for data management. They may use various tools and techniques to ensure data integrity and improve how data is stored, accessed, and utilized. These specialists often collaborate with data analysts, engineers, and business teams to support data-driven decision-making.

What is a data optimization job example?

A data optimization job involves analyzing and improving data quality, structure, and storage to enhance efficiency and accuracy. For example, optimizing database queries or cleaning large datasets using tools like SQL or Python helps organizations make better data-driven decisions.

What is the highest paying job in data?

In data-related fields, roles such as Chief Data Officer, Data Science Director, and Machine Learning Engineer tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications and experience.

What are some common challenges faced by professionals in remote data optimization roles, and how can they be addressed?

Remote data optimization professionals often encounter challenges such as coordinating with distributed teams, ensuring data accuracy across different systems, and managing time effectively without in-person supervision. To address these, it's important to establish clear communication channels, use collaborative tools for data sharing and project tracking, and set regular check-ins with team members. Additionally, staying updated on best practices and automation tools can help streamline workflows and enhance data quality, making remote work more efficient and productive.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available across various industries. These roles typically require skills in data analysis tools like Excel, SQL, or Python, and often involve working with cloud-based platforms or collaboration tools. Many companies offer remote work options for data analysts, especially with experience in data visualization and reporting.

Is 40 too late for data science?

Remote Data Optimization roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, SQL, and machine learning can help, and continuous education or certifications can improve job prospects regardless of age.

What are the key skills and qualifications needed to thrive as a Remote Data Optimization Specialist, and why are they important?

To excel as a Remote Data Optimization Specialist, you need a solid background in data analysis, strong proficiency in statistics, and experience with optimization techniques, typically supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database systems is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for translating complex data into actionable insights and driving efficiency improvements from a remote environment.

What is the difference between Remote Data Optimization vs Remote Data Analyst?

AspectRemote Data OptimizationRemote Data Analyst
Primary FocusImproving data storage, retrieval, and processing efficiencyAnalyzing data to identify trends and generate reports
Required SkillsData management, database tuning, scriptingData analysis, visualization, statistical skills
CertificationsDatabase certifications, data management credentialsData analysis certifications, SQL proficiency
Work EnvironmentTechnical teams, IT departments, data warehousesBusiness units, marketing, finance teams

Remote Data Optimization specialists focus on enhancing data systems' performance, while Remote Data Analysts interpret data to support decision-making. Both roles require strong technical skills, but their core responsibilities differ significantly, making them distinct career paths within data management and analysis.

What are the most commonly searched types of Data Optimization jobs in New Mexico? The most popular types of Data Optimization jobs in New Mexico are:
What job categories do people searching Remote Data Optimization jobs in New Mexico look for? The top searched job categories for Remote Data Optimization jobs in New Mexico are:
Infographic showing various Remote Data Optimization job openings in New Mexico as of July 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% Remote job distribution.
Data Architect

Data Architect

Booz Allen Hamilton, Inc.

Albuquerque, NM • On-site, Remote

$61.75 - $79.50/hr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 9 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

13th of 73 rated business consultants


Job description


Remote Work:
No
Job Number:
R0236266
Location:
Albuquerque,NM,US
Share job via:
Share
Data Architect
The Opportunity:
As organizations increasingly rely on cloud computing and advanced analytics, the ability to design well-structured, scalable, and well-governed data systems is more important than ever. We are looking for a Junior Data Architect to help shape and support the data foundation that powers analytics, reporting, and operational insights across our organization.
As a Junior Data Architect, you'll work alongside engineers, analysts, and business stakeholders to design and maintain data structures that make complex data accessible, reliable, and meaningful. Working within AWS-based environments, you'll help model data, support pipeline development, and contribute to building scalable data architectures that support both operational and analytical workloads.
Here, you'll work with a multi-disciplinary team in a fast-paced and agile environment. You'll help translate business requirements into well-structured data models and architecture patterns while collaborating closely with data engineers and platform teams to ensure systems are scalable, performant, and reliable. You'll also help support data governance practices, including improving data quality, documentation, and standards that promote responsible and consistent use of organizational data.
How You'll Contribute
As a Junior Data Architect on our team, you will:
  • Design and maintain logical and physical data models that support analytics and reporting use cases.
  • Write and optimize SQL queries to transform and structure data for downstream systems and reporting.
  • Collaborate with engineering teams to support the design and implementation of data pipelines and data integration workflows within AWS environments.
  • Translate business and analytical requirements into scalable data structures and architecture patterns.
  • Help design and maintain data schemas, metadata standards, and documentation to improve data discoverability and usability.
  • Support development and optimization of ETL and ELT workflows that transform raw data into curated analytical datasets.
  • Assist in maintaining the reliability, performance, and scalability of data storage and processing systems.
  • Work with cross-functional stakeholders including product, analytics, and engineering teams to understand and address data needs.
  • Support data governance initiatives, including improving data quality, lineage visibility, and consistency across datasets.
  • Help enforce data standards and best practices to ensure data integrity, appropriate access, and responsible data usage across the organization.

You Have:
  • Experience working with data systems, data engineering, analytics engineering, or data architecture
  • Experience writing and optimizing SQL queries for data transformation and analysis
  • Experience working with relational databases or cloud data platforms such as AWS
  • Experience using Python for data processing, automation, or scripting
  • Knowledge of ETL and ELT processes and modern data pipeline architectures
  • Knowledge of data governance concepts, including data quality, metadata management, and data documentation
  • Ability to communicate technical concepts and collaborate with cross-functional stakeholders
  • Ability to obtain a Secret clearance
  • Bachelor's degree

Nice If You Have:
  • Experience with AWS data services such as S3, Glue, Redshift, or Athena
  • Experience supporting data warehouse or lakehouse architectures
  • Experience with data orchestration or transformation tools such as Airflow or dbt
  • Experience with data governance tools such as data catalogs, lineage tools, or metadata management platforms
  • Experience working with large-scale analytical datasets
  • Secret clearance
  • CDMP certification

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $61,900.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914