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Part Time Data Processing Jobs in Texas (NOW HIRING)

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Part Time Data Processing information

See Texas salary details

$8

$17

$27

How much do part time data processing jobs pay per hour?

As of May 29, 2026, the average hourly pay for part time data processing in Texas is $17.67, according to ZipRecruiter salary data. Most workers in this role earn between $14.13 and $19.62 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Data Processing professional, and why are they important?

To thrive in Part Time Data Processing, you need strong attention to detail, accuracy, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database systems, and sometimes data entry platforms is typically required. Time management, reliability, and effective communication are important soft skills that help ensure consistent and error-free work. These skills are crucial for maintaining data integrity and supporting organizational efficiency in data-driven environments.

What are some common challenges faced in a part-time data processing role, and how can they be managed?

Part-time data processing professionals often encounter challenges like tight deadlines, handling large data volumes, and ensuring accuracy despite working fewer hours. Staying organized and maintaining clear communication with supervisors can help manage shifting priorities and workloads. Additionally, utilizing automation tools and regularly verifying data accuracy can streamline tasks and reduce errors, making it easier to balance responsibilities within a part-time schedule.

What are part time data processing jobs?

Part time data processing jobs involve handling, organizing, and managing data on a flexible or reduced-hour schedule. These roles typically require entering, updating, and verifying data in computer systems or databases. Common tasks may include data entry, cleaning up existing information, or generating reports. Part time positions are ideal for students, parents, or anyone seeking work-life balance, and can be found in various industries such as healthcare, finance, and retail.

What is the difference between Part Time Data Processing vs Part Time Data Entry?

AspectPart Time Data ProcessingPart Time Data Entry
CredentialsBasic computer skills, familiarity with data processing softwareBasic computer skills, proficiency in typing and data entry tools
Work EnvironmentRemote or office-based, handling data files and softwareRemote or office-based, entering data into spreadsheets or databases
Industry UsageBusiness, finance, healthcare, and tech sectorsAdministrative, retail, healthcare, and customer service sectors

Part Time Data Processing involves managing and analyzing data using specialized software, often requiring some familiarity with data management tools. Part Time Data Entry focuses on inputting data into systems, emphasizing typing speed and accuracy. While both roles are often remote and require basic computer skills, data processing may involve more technical tasks, whereas data entry is more straightforward and clerical. Understanding these differences helps job seekers find roles that match their skills and career goals.

What are the most commonly searched types of Data Processing jobs in Texas? The most popular types of Data Processing jobs in Texas are:
What cities in Texas are hiring for Part Time Data Processing jobs? Cities in Texas with the most Part Time Data Processing job openings:
Infographic showing various Part Time Data Processing job openings in Texas as of May 2026, with employment types broken down into 1% As Needed, 57% Full Time, 41% Part Time, and 1% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $36,747 per year, or $17.7 per hour.
Data Scientist, Upstream Operations

Data Scientist, Upstream Operations

ExxonMobil

Spring, TX

Part-time

Medical, Dental, Vision, Life, Retirement

Posted 18 days ago


ExxonMobil rating

6.0

Company rating: 6.0 out of 10

Based on 219 frontline employees who took The Breakroom Quiz

57th of 74 rated oil and gas companies


Job description

What role you will play in our team
  • Work on complex data science and AI/ML use cases focused on upstream oil & gas operations — from ideation and discovery through deployment and sustainment — as part of integrated, enterprise-level teams.
  • Collaborate with ExxonMobil operations engineers, field personnel, and subject matter experts to drive data-driven decision-making across upstream production and operational workflows.
  • Support the transition and integration of upstream digital analytics capabilities into the Modeling, Optimization, and Data Science (MODS) organization, ensuring continuity and enhancement of existing solutions.
What you will do
  • Lead the design, development, and deployment of advanced AI/ML solutions for upstream oil & gas operations, including production optimization, predictive maintenance, anomaly detection, and operational efficiency improvements.
  • Analyze production data, well performance metrics, sensor/IoT data, and operational logs to identify patterns, forecast outcomes, and uncover opportunities for value creation.
  • Collaborate with cross-functional teams — including production engineers, reservoir engineers, and field operations staff — to translate operational challenges into mathematical frameworks and data-driven solutions.
  • Build and deploy end-to-end AI/ML solutions in one or more upstream operations domains, applying best practices for data quality, explainability, and governance.
  • Develop GenAI applications (chatbots, copilots, multi-agent workflows) and/or time series, optimization, or predictive analytics models tailored to upstream operational needs.
  • Apply domain knowledge and physical principles to improve model accuracy and reliability in production and operations contexts.
  • Ensure production readiness through MLOps practices (CI/CD, MLflow, monitoring, cost optimization).
  • Work closely with business stakeholders to understand operational problems, communicate analytical findings, and drive adoption of data science solutions.
  • Contribute to the migration and enhancement of upstream digital analytics (UDA) tools, models, and workflows into the MODS framework.
  • Mentor peers and contribute to internal AI capability building.
About you

Minimum Skills & Qualifications:

  • 5+ years of direct experience delivering production AI/ML solutions, preferably in an upstream oil & gas or heavy industrial operations environment.
  • Experience applying data science to upstream operations workflows, including production monitoring, well performance analysis, equipment reliability, process optimization, or operational planning.
  • Demonstrated ability to work directly with business and operations teams to identify opportunities, scope analytical solutions, and deliver measurable impact.
  • Strong foundations in statistics, probability, and algorithm design.
  • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn); experience with Databricks/Spark.
  • Familiarity with GenAI frameworks (LangChain, Promptflow) and/or optimization libraries.
  • Experience with MLOps, model governance, and explainable AI techniques (e.g., SHAP, LIME).
  • Excellent communication, collaboration, and problem-solving skills.

Preferred Knowledge & Skills:

  • Experience in the energy industry, specifically in upstream production operations, thermal/heavy oil operations (e.g., SAGD, CSS), or similar asset-intensive environments.
  • Cloud platforms (Azure ML, Azure OpenAI, Databricks).
  • Knowledge graphs, hybrid search/RAG, and semantic technologies.
  • Experience with time series analysis, anomaly detection, or predictive maintenance solutions for industrial operations.
  • Familiarity with production data systems (e.g., SCADA, PI/OSIsoft, production databases).
  • Agile development and software engineering best practices.

Educational Background Recommended:

  • Master's or PhD in Data Science, Computer Science, Engineering, Applied Math, or related field.
Your benefits

An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.

We offer you: 

  • Pension Plan: Enrollment is automatic and at no cost to you. The basic benefit is a monthly annuity to be paid to you in retirement for the rest of your life. 

  • Savings Plan: You can contribute between 6% and 20% of your pay and are encouraged to enroll right away. If you contribute at least 6% to your savings plan, the Company will contribute a 7% match. 

  • Workplace Flexibility: We have several programs such as “Flex your Day”, providing ad-hoc flexibility around when and where you work, as well as longer-term programs such as leaves of absence and part-time work.

  • Comprehensive medical, dental, and vision plans. 

  • Culture of Health: Programs and resources to support your wellbeing. 

  • Employee Health Advisory Program: Provides confidential professional counseling for you and your family, including tools and resources promoting mental health and resiliency at no additional cost to you. 

  • Disability Plan: Income replacement for when you cannot work due to illness or injury occurring on or off the job. Enrollment is automatic and at no cost to you.

  • More information on our Company’s benefits can be found at www.exxonmobilfamily.com

  • Please note benefits may be changed from time to time without notice, subject to applicable law.

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