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Data Engineer Jobs in Spring, TX (NOW HIRING)

INSPYR Solutions

Data Engineer

The Woodlands, TX

$70 - $85/hr

Data Engineer Location: Spring, TX on site 3 days per week. Tues, Wed, Thurs onsite. Only candidates local to the Houston, TX area will be considered. Duration: 6 + months Compensation: $70 to $85 ...

INSPYR Solutions

Data Engineer

Spring, TX · On-site

$70 - $85/hr

Data Engineer Location: Spring, TX on site 3 days per week. Tues, Wed, Thurs onsite. Only candidates local to the Houston, TX area will be considered. Duration: 6 + months Compensation: $70 to $85 ...

Brooksource

Data Engineer

Houston, TX · On-site

$65 - $90/hr

Data Engineer Brooksource Fortune 500 Oil & Gas Client Houston, TX Overview We are partnering with a rapidly growing data and AI team within a leading energy organization that is building out its ...

Foxconn Assembly LLC

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The company is hiring dedicated data engineers to ensure its data is accessible, secure, and efficient. This role collaborates with data analysts to create data pipelines for data from all kinds of ...

Rysun Labs Inc

Data Engineer

Houston, TX

$60/hr

We are seeking a skilled and motivated Data Engineer to design, build, and maintain scalable data pipelines and data platforms that support business intelligence, analytics, and data-driven decision ...

Beusa Energy Group

Data Engineer

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 ...

Foxconn Industrial Internet - FII

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The company is hiring dedicated data engineers to ensure its data is accessible, secure, and efficient. This role collaborates with data analysts to create data pipelines for data from all kinds of ...

Kanak Elite Services Inc

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

DATA ENGINEER III CONTRACT LENGTH: 6 - 12 MONTH CONTRACT, LOOKING TO THEN CONVERT ONSITE 5 DAYS A WEEK IN DOWNTOWN HOUSTON OFFICE. LOOKING FOR HOUSTON LOCAL TALENT. NEED SENIOR CANDIDATES 12+ - 15 ...

Dlapiper

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Foxconn Industrial Internet

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Foxconn Industrial Internet is hiring dedicated data engineers to ensure its data is accessible, secure, and efficient. This role collaborates with data analysts to create data pipelines for data ...

Gainwell Technologies LLC

Data Engineer

Houston, TX · Remote

$58K - $83K/yr

Overview The Data Engineer supports the design, development, and maintenance of data pipelines and data platforms. This role focuses on learning and contributing to building scalable data solutions.

New

NAVA Software Solutions

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

Principal Data Engineer Location: Houston, TX - 4 days/week onsite Duration: Full time / Direct Hire The Principal Data Engineer within the Data Science and Analytics team, plays a crucial role in ...

EOG Resources, Inc.

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 ...

Trafigura

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The Data Engineer will build and maintain data integration infrastructure for the North American Gas and Power trading desk, ensuring reliable data flows to support commercial decision-making and ...

Futran Tech Solutions Pvt. Ltd.

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 ...

EOG Resources, Inc.

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 ...

CG Infinity

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Data Engineer (Full Time Position) Houston, TX Get to Know Us: CG Infinity, Inc. is a technology consulting firm that was founded in 1998. We offer solutions that are tailored to the needs of each ...

Deloitte

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 ...

EOG Resources, Inc.

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 ...

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All JobsData Engineer JobsData Engineer Jobs in Spring, TX

Data Engineer information

See Spring, TX salary details

$39.6K

$115.4K

$158K

How much do data engineer jobs pay per year?

As of Jun 18, 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.

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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

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 pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
More about Data Engineer jobs
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:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Spring, TX as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $115,433 per year, or $55.5 per hour.
Data Engineer

Data Engineer

INSPYR Solutions

The Woodlands, TX

$70 - $85/hr

Other

Medical, Retirement

Posted 10 days ago

Job description

Title: Data Engineer
Location: Spring, TX on site 3 days per week. Tues, Wed, Thurs onsite. Only candidates local to the Houston, TX area will be considered. 
Duration: 6 + months
Compensation: $70 to $85 per hour W2
Work Requirements: US Citizen, GC Holders or Authorized to Work in the US 
Job Description:  
We are looking for a highly motivated Data Engineer with a passion for data modeling, data architecture patterns, and modern engineering practices. In this role, you will be instrumental in designing and building scalable, reliable, and high-performance data solutions that power our analytics and business intelligence platforms.
You will work closely with senior data engineers and cross-functional teams to implement robust data models and pipelines using cutting-edge tools in the Azure ecosystem. This is a unique opportunity to shape the foundation of our data infrastructure and contribute to the evolution of our data products.
Duties/Responsibilities:
  1. Design & Implement Data Models: Develop and maintain dimensional data models and semantic layers that support enterprise reporting and analytics. Apply best practices in data warehousing and data architecture.
  2. Build Scalable Data Pipelines: Create modular, reusable, and pattern-driven ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, and Databricks.
  3. Transform & Structure Data: Use Spark SQL, DBT, and Azure Synapse to transform raw data into structured, analytics-ready formats. Implement data quality checks and schema evolution strategies.
  4. Leverage Azure Technologies: Utilize Azure services such as SQL Server, Synapse Analytics, Databricks, and Delta Lake to build and manage scalable data infrastructure. and data pipelines
  5. Enable CI/CD & DevOps: Integrate data workflows with Azure DevOps and Git for version control, automated testing, and continuous deployment.
  6. Support Reporting & Visualization: Collaborate with analysts and BI developers to ensure data models are optimized for tools like Power BI.
  7. Troubleshoot & Optimize: Monitor and resolve issues in data pipelines and models. Ensure high availability and performance of data systems.
  8. Stay Ahead of the Curve: Continuously learn and apply the latest in data engineering best practices, tools, and technologies.

Skillset / Experience:  
  • 5–7 years of experience in data engineering or related roles.
  • Proven expertise in data modeling (especially dimensional modeling) and data warehouse design.
  • Hands-on experience with Azure Data Factory, Synapse Analytics, Databricks, and DBT.
  • Strong SQL and Spark SQL skills.
  • Experience with CI/CD, DevOps, and version control (Git, Azure DevOps).
  • Familiarity with Power BI or similar visualization tools.
  • Solid understanding of data integration, data quality, and data transformation best practices.
  • Strong problem-solving skills and a collaborative mindset.
 
Our benefits package includes: 
  • Comprehensive medical benefits 
  • Competitive pay, 401(k) 
  • Retirement plan 
  • …and much more! 
 
About INSPYR Solutions:  
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com. 
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. 
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