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Data Engineer Jobs in Spring, TX (NOW HIRING)

Sr. Data Engineer

Houston, TX

$109K - $131K/yr

Five (5) years of experience as a Data Engineer, Database Engineer, Oracle Engineer, Systems Engineer, Software Engineer. ALTERNATE EDUCATION: Master's Degree in Computer Science, Computer ...

Data Engineer

Houston, TX

$109K - $131K/yr

The Data Engineer is responsible for building, maintaining, and supporting data pipelines and data platforms used for analytics, reporting, and data science initiatives within contact center ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The Data Engineer is responsible for building, maintaining, and supporting data pipelines and data platforms used for analytics, reporting, and data science initiatives within contact center ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Big Data Engineer Houston Texas (Remote to start) Long Term Responsible for designing, developing, testing, operating and maintaining ETL pipelines/processes using Informatica. Expertise in working ...

Data Engineer

Houston, TX

$109K - $131K/yr

The Data Engineer is responsible for building, maintaining, and supporting data pipelines and data platforms used for analytics, reporting, and data science initiatives within contact center ...

Sr. Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Five (5) years of experience as a Data Engineer, Database Engineer, Oracle Engineer, Systems Engineer, Software Engineer. ALTERNATE EDUCATION: Master's Degree in Computer Science, Computer ...

Sr. Data Engineer

Houston, TX

$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

The Data Engineer role involves building and maintaining data pipelines and platforms for analytics and data science initiatives, ensuring reliable data ingestion and transformation to enhance ...

Sr. Data Engineer

Houston, TX

$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 ...

Databricks Data Engineer

Houston, TX · On-site

$109K - $131K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Azure Data Engineer

Houston, TX

$109K - $131K/yr

Job Title:- Azure Data Engineer Location:- Spring Texas (On-Site) Need Only Local to Houston, TX Experience;- 10+ Years Responsibilities * Perform ETL, ELT operations and administration using modern ...

Data Solutions - Data Engineer Description - Job Summary The Data Solutions - Data Engineer is responsible for data collection procedures, including accurate and relevant data for machine learning ...

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 ...

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 ...

Snowflake Data Engineer

Houston, TX · On-site

$109K - $131K/yr

We are looking for a Data Engineer to help design, build, and scale a modern cloud data platform centered on Snowflake and AWS . The ideal candidate has strong data engineering fundamentals ...

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 ...

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Showing results 1-20

Data Engineer information

See Spring, TX salary details

$39.6K

$115.4K

$158K

How much do data engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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.

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.

What are Data Engineers?

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.

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 does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
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 cities near Spring, TX are hiring for Data Engineer jobs? Cities near Spring, TX with the most Data Engineer job openings:
Sr. Data Engineer

$109K - $131K/yr

Full-time

Re-posted 7 hours ago


EOG Resources rating

8.1

Company rating: 8.1 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

19th of 74 rated oil and gas companies


Job description

Design, implement and support full life-cycle ERP system modernization and conversion projects on the IBM iseries platform and Oracle, including large data ingestion, replication, persistence, transformation, and retrieval projects involving complex and scalable coding to perform calculations, aggregations and business logic. Use .NET, Node, Java, and similar languages to design, develop and maintain RPG, DB2, Oracle stored procedures and Python Fast API micro services and applications. Maintain and manage the data flow pipeline between ERP DB2 database and other data stores such as payment systems, financial reporting, etc. Resolve the data quality issues and user support issues in an effective and timely manner. 

MINIMUM EDUCATION:                Bachelor's Degree in Computer Science, Computer Engineering, Computer Information Systems, Management Information Systems, or Information Technology.   
 
MINIMUM EXPERIENCE:               Five (5) years of experience as a Data Engineer, Database Engineer, Oracle Engineer, Systems Engineer, Software Engineer. 
 
ALTERNATE EDUCATION:             Master's Degree in Computer Science, Computer Engineering, Computer Information Systems, Management Information Systems, or Information Technology. 
 
ALTERNATE EXPERIENCE:           Two (2) years of experience as a Data Engineer, Database Engineer, Oracle Engineer, Systems Engineer, Software Engineer. 

SPECIAL REQUIREMENTS:           The required experience must have involved data engineering and must have included two years of experience using SQL, .NET, Node and Java in the design, implementation, and support of full lifecycle data engineering projects. Experience must also have included event-driven and cloud-based architectures and containerization of streaming technologies. 

Position will be filled at level commensurate with experience

EOG Resources is an Equal Opportunity Employer, including Veterans and Disabled.
Education:Employment Type: FULL_TIME

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