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Remote Data Jobs in Rio Rancho, NM (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 Architect The Opportunity: As organizations increasingly rely on cloud computing and advanced analytics, the

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 The Opportunity : Ever-expanding technology like IoT, machine learning, and artificial intelligence

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Showing results 1-20

Remote Data information

See Rio Rancho, NM salary details

$43.3K

$155.2K

$229K

How much do remote data jobs pay per year?

As of Jul 28, 2026, the average yearly pay for remote data in Rio Rancho, NM is $155,217.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,600.00 and $159,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, with experienced professionals earning $2,000 or more weekly through project-based work, consulting, or full-time employment. Building skills in data analysis tools, programming languages, and obtaining relevant certifications can help increase earning capacity, especially when working independently or in specialized niches.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. Legitimate positions are often posted on reputable job boards and do not require upfront fees.

How to make $1000 a week remotely?

Remote data roles such as data analyst or data scientist can generate $1000 or more weekly with experience, strong analytical skills, and proficiency in tools like Excel, SQL, or Python. Achieving this income often involves freelance projects, contract work, or full-time positions with high pay rates, and may require certifications or specialized knowledge in data management and analysis.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Rio Rancho, NM? The most popular types of Data jobs in Rio Rancho, NM are:
What cities near Rio Rancho, NM are hiring for Remote Data jobs? Cities near Rio Rancho, NM with the most Remote Data job openings:
Infographic showing various Remote Data job openings in Rio Rancho, NM as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $155,217 per year, or $74.6 per hour.
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 12 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