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Data Engineer Project Jobs in Houston, TX (NOW HIRING)

Data Engineer

Spring, TX · On-site

$105K - $126K/yr

Strong project management and organizational skills. * Experience supporting and working with cross ... and data sets * Knowledge of Angular, Javascript, C#, Java programming languages * Knowledge of ...

Data Engineer

Spring, TX · On-site

$96K - $116K/yr

Kforce has a client in Spring, TX that is seeking a Lead Data Engineer. Summary: We are looking for ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

... projects. Main purpose The Data Engineer will be responsible for building and maintaining the data integration infrastructure that underpins Trafigura's North American Gas and Power trading desk.

Data Engineer

Houston, TX · On-site +1

$109K - $131K/yr

We are seeking a skilled Data Visualization & Analytics Engineer to join our data management team ... Ability to manage multiple projects and priorities simultaneously. Requirements EDUCATION AND ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

... projects. Main purpose The Data Engineer will be responsible for building and maintaining the data integration infrastructure that underpins Trafigura's North American Gas and Power trading desk.

Palantir Data Engineer

Spring, TX · On-site

$101K - $122K/yr

... project experience • Multiple years of experience in building data-heavy applications and/or ... as a data engineer • Demonstrated proficiency and experience with building applications in ...

Data Engineer

Spring, TX · On-site

$96K - $116K/yr

Kforce has a client in Spring, TX that is seeking a Data Engineer. Key Tasks: * Responsible for ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

Data Engineer

Spring, TX · On-site

$96K - $116K/yr

Kforce has a client in Spring, TX that is seeking a Data Engineer. Key Tasks: * Responsible for ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Understand the broader objectives of your project or role and how your work fits into the overall ...

PCA Data Engineer

Houston, TX

$109K - $131K/yr

We are a leading construction company committed to delivering high-quality, innovative projects ... We are looking for a talented Data Engineer to join our team and contribute to developing robust ...

Senior Data Engineer

Houston, TX · Hybrid

$101K - $137K/yr

Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite ... Define and enforce data engineering standards - naming conventions, partitioning strategies ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Take ownership of projects, ensuring their successful planning, budgeting, execution, and ...

Showing results 21-40

Data Engineer Project information

See Houston, TX salary details

$43.9K

$157.6K

$232.5K

How much do data engineer project jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data engineer project in Houston, TX is $157,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,500.00 and $162,300.00 per year, depending on experience, location, and employer.

What is a data engineer project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by data engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

What is the difference between Data Engineer Project vs Data Engineer?

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.
What are popular job titles related to Data Engineer Project jobs in Houston, TX? For Data Engineer Project jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Data Engineer Project jobs in Houston, TX look for? The top searched job categories for Data Engineer Project jobs in Houston, TX are:
What cities near Houston, TX are hiring for Data Engineer Project jobs? Cities near Houston, TX with the most Data Engineer Project job openings:
Infographic showing various Data Engineer Project job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $157,588 per year, or $75.8 per hour.

Data Engineer

ExxonMobil

Spring, TX • On-site

$105K - $126K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 14 days ago


ExxonMobil rating

5.9

Company rating: 5.9 out of 10

Based on 228 frontline employees who took The Breakroom Quiz

71st of 86 rated oil and gas companies


Job description

About us

At ExxonMobil, our vision is to lead in energy innovations that advance modern living while reducing emissions. 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 can work together.

About Houston

ExxonMobil's state-of-the-art campus north of Houston serves as home to its Upstream, Product Solutions and Low Carbon Solutions businesses and their associated service groups. The facility opened in 2014 and accommodates more than 10,000 employees and visitors.

By bringing many global functional groups together, the campus provides employees with the tools and capabilities needed today, and in the future, to achieve business objectives and accelerate the discovery of new resources, technologies and products. It was designed to foster improved collaboration, creativity and innovation and enhance the company's ability to attract, develop and retain the top talent in the industry.

The campus is located in Spring, Texas, on 385 wooded acres immediately to the west of Interstate Highway 45 (I-45), at the intersection of I-45 and the Hardy Toll Road, approximately 25 miles from the cultural vibrancy of downtown Houston.

The campus was constructed to the highest standards of energy efficiency and environmental stewardship. Its design incorporates extensive research into best practices in building and workplace design through extensive benchmarking of the world's top academic, research, and corporate facilities.

Learn more about what we do in Houston here.

What role you will play on our team

This data engineer position will report to the Data Solutions group within the Development Strategy Team. The team is responsible for Unconventional wide data, automation & integration efforts, and data engineering. Areas of focus will include research and development of data pipelines, analytics, data visualization, automation, data processing, and data management, concentrating on developing sustainable products/platforms.

This role will report to the Spring, TX campus. 

What you will do
  • Design, develop, and institute automated workflows utilizing various technologies (Python, GIS, SQL, Spotfire, Alteryx, MS Power Platform and more) to minimize human error, standardize data, and apply data management best practices with a focus on data integrity and governance
  • Develop and optimize existing and new expansion of the systems in place
  • Design, develop, test, document, deploy, monitor, and support data pipelines
  • Design and develop analytical dashboards using Business Intelligence tools such as Spotfire and Databricks, as well as web-based frameworks including Shiny and React.
  • Work with domain experts, data scientists, engineers to understand needs, constraints, and limitations
  • Develop ETL processes and maintain application integrations across multiple systems and data sources
  • Prepare technical data for interpretation, conduct analyses and routine computer processing of the data, and help create final displays of the results often for formal presentations
  • Willingness to learn, experiment, try new things, fail, and grow!
About you

Skills and Qualifications

  • Bachelor's in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, Geoscience, Analytics. 
  • Must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. 
  • Driven by the prospect of optimizing or even re-designing company's data architecture to support the next generation of products and data initiatives
  • Functional in SQL with experience in querying relational databases, views, and normalized schemas
  • Functional in programming (Python-preferred) with skills in algorithms, clean code, environment management
  • Understanding and utilization of enterprise ETL tools; ex: Alteryx, Azure Synapse, Azure Data Factory
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
  • A successful history of manipulating, processing, and extracting value from large, disconnected datasets.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Ability to identify opportunities for improvement / automation and development of existing workflows and processes.

Preferred Qualifications/ Experience

  • Experience building and optimizing 'big data' pipelines, architectures, and data sets
  • Knowledge of Angular, Javascript, C#, Java programming languages 
  • Knowledge of cloud technologies: Azure database, AWS, GCP
  • Expertise in Databricks & Snowflake
  • Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores
  • Oil & Gas industry experience
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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EEO Statement

ExxonMobil is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

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.

Job ID: 107782


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