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Data Engineer Jobs in Spring, 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 ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

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. Working ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

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. Working ...

Data Engineer III

The Woodlands, TX

$104K - $125K/yr

Data Engineer Department: Data Technology Job Status: Full Time FLSA Status: Salary Exempt Reports To: Data Engineering Supervisor Location: The Woodlands, TX Amount of Travel Required: 5-10% Work ...

Data Engineer II

Houston, TX

$109K - $131K/yr

Two (2) years of experience as Data Engineer, Database Engineer, Oracle Engineer, Systems Engineer, or Software Engineer. SPECIAL REQUIREMENTS: Experience using SQL, .Net, Python, Node and Java in ...

Data Engineer II

Houston, TX · On-site

$109K - $131K/yr

Two (2) years of experience as Data Engineer, Database Engineer, Oracle Engineer, Systems Engineer, or Software Engineer. SPECIAL REQUIREMENTS: Experience using SQL, .Net, Python, Node and Java in ...

Sr. Data Engineer

The Woodlands, TX · On-site

$104K - $125K/yr

About the Role We are seeking a Sr. Data Engineer to design, build, and optimize enterprise data solutions across our Microsoft ecosystem. This role focuses on Microsoft Fabric , Power BI , and Azure ...

Data Engineer 1

The Woodlands, TX

$104K - $125K/yr

Data Engineer Department: Data Technology Job Status: Full-Time FLSA Status: Salary-Exempt Reports To: Data Engineering Supervisor Location: The Woodlands, TX Amount of Travel Required: 5-10% Work ...

Data Engineer - W2 only

Houston, TX · On-site

$109K - $131K/yr

Data Engineer - 8+ Years Location: Multiple Client Locations Type: W2 Only C2C: Not Accepted We are looking for an experienced Data Engineer with 8+ years of experience in building scalable data ...

New

Guidehouse is seeking a Data Engineer Lead to lead the design, development, and modernization of enterprise data platforms, analytics ecosystems, and cloud-native data solutions. This role serves as ...

Palantir Data Engineer

Spring, TX · On-site

$101K - $122K/yr

HCL Global Systems Inc is seeking a Palantir Data Engineer to help build tools that optimize investment and operational decisions in a scalable carbon capture system. The role involves implementing ...

Sr. Data Engineer

Houston, TX

$105K - $127K/yr

Senior Data Engineer \n \n \n Contract: 12 months plus \n \n \n Location: Houston, TX \n \n \n \n \n \n N ote: Only Houston, TX candidates \n \n \n \n \n \n \- Responsibilities: \n \n \n \-Build ...

Job Title: Sr. Data Engineer Location: Houston, TX Length: 6-10 months Job Summary We are seeking a skilled Data Engineer with extensive, hands-on expertise in Azure Databricks to design, develop ...

Public Health Data Engineer

Houston, TX

$109K - $131K/yr

Guidehouse seeks a Data Engineer to support the development, maintenance, and enhancement of data pipelines, cloud-based data platforms, and analytics solutions. The ideal candidate is an early ...

Showing results 21-40

Data Engineer information

See Spring, TX salary details

$40.7K

$118.8K

$162.5K

How much do data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data engineer in Spring, TX is $118,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,800.00 and $125,900.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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 a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

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 are popular job titles related to Data Engineer jobs in Spring, TX?

For Data Engineer jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in Spring, TX look for?

The top searched job categories for Data Engineer jobs in Spring, TX are:

What cities near Spring, TX are hiring for Data Engineer jobs?

Cities near Spring, TX with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $118,770 per year, or $57.1 per hour.

$109K - $131K/yr

Full-time

Re-posted 5 days ago


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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.
Equal Employment is the Law
Requests for Accommodation
Individuals with a disability who wish to request an accommodation to complete an employment application, please Click here or call 713-651-6694.

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