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

Sr. Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Use cloud-based architecture, containerization and streaming technologies, and Python, .NET, Node, Java and SQL to design, implement and support full life-cycle data engineering projects for current ...

Sr. Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Use cloud-based architecture, containerization and streaming technologies, and Python, .NET, Node, Java and SQL to design, implement and support full life-cycle data engineering projects for current ...

Sr. Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Use cloud-based architecture, containerization and streaming technologies, and Python, .NET, Node, Java and SQL to design, implement and support full life-cycle data engineering projects for current ...

Data Engineer II

Houston, TX · On-site

$109K - $131K/yr

Experience using SQL, .Net, Python, Node and Java in the design, implementation, and support of full lifecycle data engineering projects. Experience must also have included event-driven and cloud ...

Data Engineer II

Houston, TX

$109K - $131K/yr

Experience using SQL, .Net, Python, Node and Java in the design, implementation, and support of full lifecycle data engineering projects. Experience must also have included event-driven and cloud ...

Data Engineer II

Houston, TX · On-site

$109K - $131K/yr

Experience using SQL, .Net, Python, Node and Java in the design, implementation, and support of full lifecycle data engineering projects. Experience must also have included event-driven and cloud ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Experience leading data development projects. * Excellent problem-solving skills with extreme ... Any software programming certifications are a plus.

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

... projects. • Excellent problem-solving skills with extreme attention to detail. • Outstanding ... in Data Engineering, Data Science, Data Management, Information Systems or related fields.

Data Engineer

The Woodlands, TX · On-site

$70 - $85/hr

Data Engineer Location: Spring, TX on site 3 days per week. Tues, Wed, Thurs onsite. Only ... services, project, and talent solutions. By always striving for excellence and focusing on the ...

Responsibilities Leads one or more project teams of other data engineers for all stages of design and development for complex, secure and performant data solutions and models, including design ...

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

Leads one or more data projects and support with internal and external resources. Coach and mentor junior data engineers. * Stay abreast of emerging technologies and methodologies in data engineering ...

Lead Data Engineer

Spring, TX · On-site

$91K - $120K/yr

This position partners closely with Product, QA, Project Management, and Business stakeholders to ... Lead Data Engineering & Technical Delivery * Own the end-to-end technical data engineering for ...

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 ... Project Management on technical blockers, delivery timelines, and sprint progress without requiring ...

As a Senior Manager you lead large projects, innovate processes, and maintain operational ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

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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.

$109K - $131K/yr

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Job description

Use cloud-based architecture, containerization and streaming technologies, and Python, .NET, Node, Java and SQL to design, implement and support full life-cycle data engineering projects for current and future Summary of Operations application and other Planning applications requiring large data ingestion, persistence, transformation, and retrieval. Design, develop and maintain the DB2, Oracle, MemSQL and Python code in an event driven distributed architecture. Maintain dataflow pipeline between Planning database and other data stores such as Primo, ODM and Accounting data. Resolve data quality issues in an effective and timely manner by working with multiple teams. Debug and support production issues and assist with system integration and testing.
JOB REQUIREMENTS
MINIMUM EDUCATION: Bachelor's Degree in Computer Science, Computer Applications, Computer Engineering, IT, CIS, MIS, or a closely related degree field.
MINIMUM EXPERIENCE: Five (5) years of experience as Data Engineer or as Oracle, Software, Applications or Database Engineer, Oracle, Software, Applications or Database Developer, or Oracle, Software, Applications or Database Consultant.
ALTERNATE EDUCATION: Master's degree in Computer Science, Computer Applications, Computer Engineering, IT, CIS, MIS, or a closely related degree field.
ALTERNATE EXPERIENCE: Three (3) years of experience as Oracle, Software, Applications or Database Engineer, Oracle, Software, Applications or Database Developer, or Oracle, Software, Applications or Database Consultant.
SPECIAL REQUIREMENTS: The required experience must have included the use of SQL, Python, .NET, Node, Java, or similar data query language in the design, implementation and support of full life-cycle data engineering projects and event-driven and cloud-based architectures.

Position will be filled at a level commensurate with experience.

EOG Resources is an Equal Opportunity Employer, including Veterans and Disabled.

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