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Remote Data Jobs in Texas (NOW HIRING)

... Data Platform, Analytics Engineering, and business stakeholders across RightNow Media. Schedule Full-time, Monday through Friday Work Location Fully remote **Please note we will not consider ...

Data Engineer - Hybrid

Irving, TX ยท On-site +1

$75K - $130K/yr

Data Engineer We are looking for a Data Engineer who is passionate about building scalable data ... The starting pay range for this remote role is $75,168-$130,500. This range reflects the minimum ...

Data Engineer - Hybrid

Irving, TX ยท On-site +1

$75K - $130K/yr

Data Engineer We are looking for a Data Engineer who is passionate about building scalable data ... The starting pay range for this remote role is $75,168-$130,500. This range reflects the minimum ...

Req ID: 367052 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... We are currently seeking a Ontology Expert - Remote to join our team in Dallas, Texas (US-TX), ...

Req ID: 367052 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... We are currently seeking a Ontology Expert - Remote to join our team in Dallas, Texas (US-TX), ...

Req ID: 367052 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... We are currently seeking a Ontology Expert - Remote to join our team in Dallas, Texas (US-TX), ...

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Remote Data information

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 Texas? The most popular types of Data jobs in Texas are:
What cities in Texas are hiring for Remote Data jobs? Cities in Texas with the most Remote Data job openings:
Infographic showing various Remote Data job openings in Texas as of June 2026, with employment types broken down into 85% Full Time, 8% Part Time, 1% Temporary, 4% Contract, and 2% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Assistant Research Scientist - Remote Sensing/Geospatial Data Analytics

Tamus

Corpus Christi, TX โ€ข Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Job description

Job Title

Assistant Research Scientist - Remote Sensing/Geospatial Data Analytics

Agency

Texas A&M Agrilife Research

Department

Corpus Christi

Proposed Minimum Salary

Commensurate

Job Location

Corpus Christi, Texas

Job Type

Staff

Job Description

About Texas A&M AgriLife

Texas A&M AgriLife is comprised of the following Texas A&M University System members:

  • Texas A&M AgriLife Extension Service
  • Texas A&M AgriLife Research
  • College of Agriculture and Life Sciences at Texas A&M University
  • Texas A&M Forest Service
  • Texas A&M Veterinary Medical Diagnostic Laboratory

As the nation's largest most comprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees and a presence in every county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service.

Click here to learn more about how you can be a part of AgriLife and make a difference in the world!

Position Information

Texas A&M AgriLife Research at Corpus Christi is seeking a highly motivated scientist specializing in Geospatial Data Analytics to work with the Digital Agriculture team. This position complements the strengths of Texas A&M AgriLife Research unit at Corpus Christi in Digital Agriculture. The incumbent is expected to work with a team of transdisciplinary scientists to develop near to develop multi-modal data pipelines for decision support systems.

One of the goals of Digital Agriculture Research Lab at Texas A&M AgriLife Research center at Corpus Christi is to develop and apply emerging technologies, including big data analytics, artificial intelligence (AI), remote data transfer, and cloud computing to help solve complex agricultural problems.

Responsibilities:

- Lead the remote sensing and geospatial analytics component of the Texas Conservation & Sustainability Initiative (TCSI)-monitoring, measuring, reporting and verification (MMRV) component of the project and is expected to use their expertise on remote sensing and AI to develop MMRV tools for assessing conservation outcomes using the huge amount of data generated from this project.

- The candidate will work on the synthesis, integration, and analysis of large datasets obtained from remote sensing platforms such as Satellite imagery, online databases, and ground sensors and develop pipelines for multi-source data integration systems in agriculture.

- Publish peer-reviewed papers and support grant writing.

- Support projects on the development of digital twin systems, models, and user interfaces for visualizations, mapping, predictions, and prescriptions.

- Publish peer-reviewed papers and support grant writing.

- work with scientists from crop physiology, agronomy, extension, plant breeding, mechanical engineering, and computer science fields, and is expected to work in team and independently as needed.

- Mentor graduate students learning to conduct geospatial science/engineering, remote sensing.

- Perform other job-related duties as assigned.

Required Qualifications:

- Ph.D. in Remote Sensing, Geospatial Science, Computer Engineering, Data Science or a closely related discipline.

- Relevant professional experience.

- Experience in processing, analyzing, and modeling remote sensing data, particularly satellite imagery (optical and radar/SAR).

- Proficiency in artificial intelligence, machine learning, and geospatial data analytics.

- Experience with cloud computing platforms, geospatial databases, and large-scale data processing workflows is desirable.

- Strong written and oral communication skills, including a demonstrated ability to publish in highquality peerreviewed journals.

- Ability to work collaboratively in interdisciplinary research environments and contribute to team-based projects.

What You Need to Know

Salary: Compensation for this position is commensurate based on the selected candidate's qualifications.

Why Work at Texas A&M AgriLife?

When you choose toworkfor Texas A&M AgriLife, you become part of an organization that is an established leader in agriculture and life sciences with a wide range of capabilities to meet the needs of our statewide, national, and international constituents.

In addition, Texas A&M AgriLife offers a comprehensive benefit package including the following:

  • Health, dental, vision, life and long-term disability insurance with Texas A&M AgriLife contributing to employee health and basic life premiums
  • 12-15 days of annual paid holidays
  • Up to eight hours of paid sick leaveand at leasteight hours of paid vacation each month
  • Automatic enrollment in theTeacher Retirement System of Texas
  • Employee Wellness Initiative for Texas A&M AgriLife

Applicant Instructions

Applications received by Texas A&M AgriLife must either have all job application data entered or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to prepopulate the online application.

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.