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Part Time Data Engineer Jobs in Spring, TX (NOW HIRING)

Senior Civil Engineer

Houston, TX · On-site

$123K - $178K/yr

Telework Type: Part-Time Telework * Work Location: Houston, TX, Chandler, AZ, Reston, VA * Salary ... based on market data; final salary offered is determined by education, experience, and ...

Telework Type: Part-Time Telework * Work Location: Houston, TX * Employee Referral Amount: $2,500 ... Reviews and approves key design documents, supplier drawings and data, material specifications ...

Telework Type: Part-Time Telework * Work Location: Houston, TX, Reston, VA * Salary Range: $106,900 ... based on market data; final salary offered is determined by education, experience, and ...

Senior Structural Engineer - Part Time (Temp)

Houston, TX · On-site

$96K - $130K/yr

This is a part-time temporary role not to exceed 30 weeks ** The Senior Structural Engineer will ... equity, market data, applicable collective bargaining agreements, and relevant laws. Benefits ...

Telework Type: Part-Time Telework * Work Location: Houston, TX Extraordinary teams building ... and data center markets. M&T strives to exceed our customer objectives through utilizing our ...

Telework Type: Part-Time Telework * Work Location: Houston, TX Extraordinary teams building ... Participates in reviews and recommends approval of design drawings and data for compliance with ...

Project Civil Engineer

Houston, TX · On-site

$81K - $108K/yr

The role also involves reviewing technical data such as maps, drawings, soil reports, aerial ... Arcadis offers benefits for full time and part time positions. These benefits include medical ...

Telework Type: Part-Time Telework * Work Location: Houston, TX Extraordinary teams building ... Support to engineering disciplines in preparation/review of data sheets and requisition packages

New

Transportation Engineer in Training

Houston, TX · On-site

$70K - $92K/yr

Perform field work to collect data or observe projects under construction Education and Experience ... Actual compensation for part-time roles will be pro-rated based on the agreed number of working ...

Air Quality Engineer

Houston, TX · On-site

$65K - $79K/yr

Excellent communication skills, writing skills, data management and interpretation skills and ... Paid time off contingent upon full time or part time status and level of seniority (ranging from 15 ...

Telework Type: Part-Time Telework * Work Location: Houston, TX, Chandler, AZ Extraordinary teams ... and data center markets. M&T strives to exceed our customer objectives through utilizing our ...

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Showing results 1-20

Part Time Data Engineer information

See Spring, TX salary details

$39.6K

$115.4K

$158K

How much do part time data engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for part time data engineer in Spring, TX is $115,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $122,400.00 per year, depending on experience, location, and employer.

What types of projects and responsibilities can I expect as a Part Time Data Engineer?

As a Part Time Data Engineer, you might work on projects such as developing and maintaining data pipelines, optimizing database performance, and preparing data for analytics and reporting. Responsibilities often include extracting, transforming, and loading (ETL) data, collaborating with data analysts and scientists, and troubleshooting data-related issues. You may also help implement data quality checks or participate in cloud migration initiatives. The scope of your work will typically be focused and project-based, making sure your contributions have a tangible impact within a flexible schedule.

What engineers make $300,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and strong programming knowledge can earn $300,000 or more annually. High compensation often depends on industry, location, and the complexity of projects handled.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data infrastructure that requires human oversight and expertise. While AI can automate certain tasks like data cleaning and processing, data engineers are essential for managing complex systems, ensuring data quality, and integrating new technologies. Skills in programming, cloud platforms, and data architecture remain critical in this evolving field.

What engineer makes $500,000 a year?

Highly experienced data engineers working in senior or specialized roles at large tech companies or financial institutions can earn $500,000 or more annually, often including bonuses and stock options. Achieving this level typically requires advanced skills in data architecture, cloud platforms, and programming, along with significant industry experience and certifications.

What is a Part Time Data Engineer job?

A Part-Time Data Engineer is responsible for designing, building, and maintaining data pipelines and databases on a reduced-hour basis. They work with structured and unstructured data to ensure efficient storage, retrieval, and processing, often collaborating with data analysts and scientists. This role is ideal for professionals seeking flexible work arrangements while still contributing to data infrastructure and analytics. Part-time data engineers may work as freelancers, consultants, or employees with reduced-hour contracts. Their responsibilities can vary based on company needs but typically involve ETL processes, cloud data management, and performance optimization.

What are the key skills and qualifications needed to thrive in the Part Time Data Engineer position, and why are they important?

To thrive as a Part Time Data Engineer, you need strong programming skills (usually in Python, SQL, or Scala), a solid understanding of data warehousing concepts, and experience with ETL pipelines, typically supported by a relevant degree or equivalent experience. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and relevant certifications such as Google Professional Data Engineer or AWS Certified Data Analytics, are highly valued. Effective time management, problem-solving abilities, and clear communication are standout soft skills for this flexible role. These skills are crucial because they enable part-time data engineers to efficiently deliver reliable data solutions while collaborating across teams in dynamic work environments.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for managing large data systems, building data pipelines, and supporting data analytics. Skills in cloud platforms, SQL, and programming languages like Python or Scala enhance job prospects in this field.
What are the most commonly searched types of Data Engineer jobs in Spring, TX? The most popular types of Data Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Part Time Data Engineer jobs? Cities near Spring, TX with the most Part Time Data Engineer job openings:
Infographic showing various Part Time Data Engineer job openings in Spring, TX as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $115,433 per year, or $55.5 per hour.
Data Scientist, Commercial Analytics

Data Scientist, Commercial Analytics

ExxonMobil

Spring, TX • On-site

Part-time

Medical, Dental, Vision, Life, Retirement

Re-posted 20 days ago


ExxonMobil rating

6.0

Company rating: 6.0 out of 10

Based on 225 frontline employees who took The Breakroom Quiz

56th 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 commercial analytics including pricing, marketing, supply chain and trading. You will work end-to-end from problem framing and experimentation through production and sustainment while partnering with business stakeholders to deliver scalable, reliable, and impactful solutions.
What role you will 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.
  • Expertise in commercial analytics for pricing, marketing, supply chain management or oil & gas trading.
  • 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.
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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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