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Part Time Azure Data Engineer Jobs in Texas (NOW HIRING)

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site +1

$98K - $130K/yr

... Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data ... Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be ...

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

... Azure services. Data, Testing & Deployment * Build and maintain data pipelines, including ... Programming: Strong working knowledge of Python. * Applied AI / GenAI: Hands-on experience building ...

Stantec

Generative AI Developer

Austin, TX · On-site

$104K - $152K/yr

You will work closely with data scientists, engineers, enterprise architects, and business ... Experience deploying AI/GenAI solutions in Azure environments, including familiarity with Azure AI ...

Arcadis

Electrical Engineer - Data Center

Dallas, TX · On-site

$80K - $142K/yr

As an Electrical Engineer you will lead the electrical discipline of multiple concurrent data ... Arcadis offers benefits for full time and part time positions. These benefits include medical ...

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

... Azure services . This internship is designed to strengthen applied AI engineering skills and ... Data, Testing & Deployment * Build and maintain data pipelines, including preprocessing and quality ...

WME Express

Autonomous Vehicle Data Tech

Anson, TX · On-site

$19/hr

Data Capture Technician Part Time Abilene, TX (In-Person) $19/hour Part-Time - 1 weekday per week ... Construction, surveying, or civil engineering experience * Fieldwork experience * Interest in AI ...

WME Express

Autonomous Vehicle Data Tech

Anson, TX · On-site

Data Capture Technician Part Time Abilene, TX (In-Person) $19/hour Part-Time - 1 weekday per week ... Construction, surveying, or civil engineering experience * Fieldwork experience * Interest in AI ...

ExxonMobil

ADPKI West Engineer

Spring, TX

Implement and maintain Azure Information Protection (AIP) for data security. * Utilize Quest tools ... and part-time work. * Comprehensive medical, dental, and vision plans. * Culture of Health:

Codvo.ai

Field Service Engineer

Texas, IL · On-site

Dallas & Midland Type: Part Time (3 days Dallas and 2 days Midland) Role Summary We are looking for ... Familiarity with AD, Azure AD, and M365 user management. Experience with imaging tools (Intune/SCCM ...

ExxonMobil

ADPKI West Engineer

Spring, TX · On-site

Implement and maintain Azure Information Protection (AIP) for data security. * Utilize Quest tools ... and part-time work. * Comprehensive medical, dental, and vision plans. * Culture of Health:

ASM Global

Technology Engineering Intern

Frisco, TX · On-site

$15.75 - $20.25/hr

Utilize Infrastructure as Code tools (Azure Bicep and/or Terraform) to codify and standardize ... Currently pursuing or recently completing a bachelor's or master's degree in data Analytics ...

ASM Global

Technology Engineering Intern

Frisco, TX · On-site

$15.75 - $20.25/hr

Utilize Infrastructure as Code tools (Azure Bicep and/or Terraform) to codify and standardize ... Currently pursuing or recently completing a bachelor's or master's degree in data Analytics ...

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All JobsAzure Data Engineer JobsPart Time Azure Data Engineer JobsPart Time Azure Data Engineer Jobs in Texas

Part Time Azure Data Engineer information

What is the difference between Part Time Azure Data Engineer vs Part Time Data Analyst?

AspectPart Time Azure Data EngineerPart Time Data Analyst
Required CredentialsAzure certifications, SQL, data engineering skillsExcel, SQL, data visualization tools
Work EnvironmentCloud platforms, data pipelines, ETL processesData interpretation, reporting, dashboards
Employer & Industry UsageTech, finance, healthcare with cloud focusMarketing, retail, finance with data analysis needs

Part Time Azure Data Engineers focus on building and maintaining cloud-based data infrastructure using Azure tools, while Part Time Data Analysts interpret data and create reports. Both roles often work in similar industries but serve different functions within data management and analysis.

What are some common challenges faced by part-time Azure Data Engineers, and how can they effectively manage their workload?

Part-time Azure Data Engineers often face the challenge of balancing multiple responsibilities within limited working hours, particularly when handling complex data pipelines or troubleshooting urgent issues. To manage these demands effectively, clear communication with the team about availability and priorities is essential. Utilizing Azure's automation features, such as Data Factory scheduling and monitoring tools, can help streamline recurring tasks and ensure timely project delivery. Regular check-ins and documentation also help maintain project continuity and collaboration with full-time team members.

What is a Part Time Azure Data Engineer?

A Part Time Azure Data Engineer is a professional who works on a flexible or reduced schedule to design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for tasks such as building data pipelines, setting up data storage, and ensuring security and scalability of data systems, but typically work fewer hours than a full-time employee. This role often involves collaborating with other engineers and data professionals to support business analytics or data-driven projects, all while leveraging Azure tools and technologies.

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

To thrive as a Part Time Azure Data Engineer, you need a solid understanding of data engineering concepts, SQL, and cloud computing, typically backed by experience with Azure services and a relevant degree or certification. Familiarity with tools like Azure Data Factory, Azure SQL Database, Databricks, and knowledge of data modeling and ETL processes are essential. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with stakeholders and ensure data quality. These skills and qualities are crucial for delivering reliable, scalable data solutions and supporting business intelligence needs in a flexible, part-time capacity.
What are the most commonly searched types of Azure Data Engineer jobs in Texas? The most popular types of Azure Data Engineer jobs in Texas are:
What are popular job titles related to Part Time Azure Data Engineer jobs in Texas? For Part Time Azure Data Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Part Time Azure Data Engineer jobs in Texas look for? The top searched job categories for Part Time Azure Data Engineer jobs in Texas are:
What cities in Texas are hiring for Part Time Azure Data Engineer jobs? Cities in Texas with the most Part Time Azure Data Engineer job openings:
Part Time Azure Data Engineer jobs near you
Infographic showing various Part Time Azure Data Engineer job openings in Texas as of June 2026, with employment types broken down into 100% Part Time. Highlights an 79% In-person, and 21% Remote job distribution.
Data Scientist, Upstream Development

Data Scientist, Upstream Development

ExxonMobil

Spring, TX • On-site

Part-time

Medical, Dental, Vision, Life, Retirement

Posted 26 days ago

ExxonMobil rating

6.1

Company rating: 6.1 out of 10

Based on 220 frontline employees who took The Breakroom Quiz

57th of 74 rated oil and gas companies

Job description

About us
At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world's largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.
The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.
We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Learn more about our What and our Why and how we canwork together.
What you will do
Lead the design, development, and deployment of advanced AI/ML solutions for upstream oil & gas subsurface & well operations such as physics-informed Machine Learning (ML) and production optimization. You will work end-to-end from problem framing and experimentation through production and sustainment partnering with engineers and business stakeholders to deliver scalable, reliable, and impactful solutions.
What role will you play in the team
  • Lead end-to-end delivery of AI/ML solutions: scoping, modeling, evaluation, deployment, and monitoring.
  • Collaborate with cross-functional teams to translate business problems into mathematical frameworks.
  • Build solutions in one or more domains listed above, applying best practices for data quality, explainability, and governance.
  • Develop GenAI applications (chatbots, copilots, multi-agent workflows) and/or time series, optimization, or commercial analytics models.
  • Ensure production readiness through MLOps practices (CI/CD, MLflow, monitoring, cost optimization).
  • Mentor peers and contribute to internal AI capability building.

About you
Desired Skills
  • 5+ years of direct experience delivering production AI/ML solutions.
  • Experience applying data science to upstream oil & gas workflows, including exploration, drilling and reservoir management; analyzing well logs, seismic data, and production metrics to support operational and strategic decisions
  • 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 and collaboration skills.

Preferred Knowledge/Skills
  • Cloud platforms (Azure ML, Azure OpenAI, Databricks).
  • Knowledge graphs, hybrid search/RAG, and semantic technologies.
  • 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.
Stay connected with us
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Alternate Location:
Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

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