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Data Engineer Jobs in Spring, TX (NOW HIRING)

Beusa Energy Group

Data Engineer 1

The Woodlands, TX

$104.80K - $125.90K/yr

Data Engineer Job Status: Full Time FLSA Status: Exempt Reports To: Enterprise Data Architecture Manager Location: The Woodlands, TX Amount of Travel Required: Less than 25% Work Schedule: Monday ...

Trafigura Group Pte. Ltd.

Data Engineer

Houston, TX · On-site

$109.30K - $131.20K/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 ...

Collabera LLC

Lead Data Engineer

Houston, TX

$110K - $120K/yr

Lead Data Engineer Location: Houston, TX Duration: Full-time Salary: $110k/yr to $120k/yr Day to day: * Design and implement reliable data pipelines to integrate disparate data sources into a single ...

empyrean

Cloud Data Engineer

Houston, TX · Remote

$109.30K - $131.30K/yr

We are building the next generation of our enterprise data platform and are seeking a Cloud Data Engineer to architect, develop, and optimize large-scale, cloud-native data warehousing and ETL ...

Empyrean

Cloud Data Engineer

Houston, TX · On-site

$109.30K - $131.30K/yr

We are building the next generation of our enterprise data platform and are seeking a Cloud Data Engineer to architect, develop, and optimize large-scale, cloud-native data warehousing and ETL ...

Howard Hughes

Sr. Data Engineer

The Woodlands, TX

$104.80K - $125.90K/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 ...

Expand Energy

Data Engineer - Fundamentals

Spring, TX · On-site

$101.90K - $122.40K/yr

They are seeking a Data Engineer to design and implement data solutions tailored to the needs of their Marketing & Commercial division, building robust data infrastructure across various energy ...

Synergyassure, Inc

ESRI Data Engineer

Houston, TX · On-site

$109.30K - $131.30K/yr

ESRI Data Engineer Location: Houston TX - Onsite Duration: 6+Months Corp to Corp Need 11+Years experience Job Summary * Top 3 skill sets/technologies required for qualification: * Strong SQL ...

New

mBridge Solutions

Sr. Data Engineer

Houston, TX · On-site

$105.70K - $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 ...

Deloitte

Sr Databricks Data Engineer

Houston, TX · On-site

$109.30K - $131.20K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

Pwc

Data Engineer - Manager

Houston, TX · On-site

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Senior Manager

Houston, TX · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Soni Resources

Data Engineer/Data Scientist

Houston, TX · On-site

The Data Engineer or Data Scientist enables data-driven decision-making across the enterprise. This role builds the infrastructure and analytics models that convert raw data into actionable insights ...

Pwc

Data Engineer - Senior Associate

Houston, TX

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

DPR Construction

PCA Data Engineer

Houston, TX

$109.30K - $131.30K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. In this role, you will be aligned with a specific ...

Virtual Networx

Sr Data Engineer

Houston, TX

$109.30K - $131.30K/yr

Job Role: Sr Data Engineer Location: Houston, Tx Skills: Azure Databricks, Azure Data Lake, Python, Power BI & SQL Key Responsibilities * Design and develop data pipelines using Azure Data Factory ...

Expand Energy

Data Engineer - Fundamentals

Spring, TX · On-site

$105.40K - $126.60K/yr

Job Summary The Data Engineer - Energy Trading will be re-imagining and designing solutions tailored to the dynamic and market-driven needs of the Marketing & Commercial division (analysts, traders ...

Expand Energy

Data Engineer - Fundamentals

Spring, TX · On-site

$105.40K - $126.60K/yr

Job Summary The Data Engineer - Energy Trading will be re-imagining and designing solutions tailored to the dynamic and market-driven needs of the Marketing & Commercial division (analysts, traders ...

Paul Hastings

Senior Data Engineer

Houston, TX

$194.75K/yr

Job Title Senior Data Engineer Location Atlanta, Boston, Charlotte, Chicago, Dallas, Houston, Los Angeles, New York Regular/Temporary Regular Summary We have an opening for a Senior Data Engineer.

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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 May 29, 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 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 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.

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 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.

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.

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

Data Engineer 1

EVOLUTION WELL SERVICES OPERATING L

The Woodlands, TX • On-site

$104.80K - $125.90K/yr

Full-time

Posted 15 days ago

Job description

Data Engineer
Job Description
Department: Data Engineer
Job Status: Full Time
FLSA Status: Exempt
Reports To: Enterprise Data Architecture Manager
Location: The Woodlands, TX
Amount of Travel Required: Less than 25%
Work Schedule: Monday-Friday, 8am - 5pm
Positions Supervised: None
AIP: 7
POSITION SUMMARY:
The Data Engineer is responsible for the development and maintenance of data integration solutions supporting both the operational and analytical needs of the business. The role will work with multiple lines of business (LOBs) as the team manages a growing portfolio of data solutions.
ESSENTIAL FUNCTIONS: (The following duties and responsibilities are all essential job functions, as defined by the ADA, except for those that begin with the word "may.")
  • Ability to read, write, and comprehend English.
  • Identify proper design pattern(s) to solve a given problem.
  • Implement architecture for relational database systems (ODS and EDW).
  • Develop integrations between systems (e.g., ERP, HRM, CRM, embedded and other custom applications) using a variety of methods and data formats.
  • Coordinate directly with stakeholders to understand requirements.
  • Provide support for existing systems and work with users to resolve issues.
  • Contribute to a small, cross-functional team in multiple capacities as needed.
  • Model best practices and continuous improvement for other team members
  • Research new technologies and approaches and share knowledge with the team.
  • Performs other related duties as assigned to assist with successful operations and business continuity.

POSITION REQUIREMENTS:
  • Strong analytical, communication, and problem-solving skills.
  • Must have dependable transportation to commute to the worksite consistently, as public transportation may not be available or feasible for the location.
  • Successfully passes background check, pre-employment drug screening, an any pre-employment aptitude and/or competency assessment(s)

EDUCATION/EXPERIENCE LEVEL
  • Bachelor's Degree in Information Systems, Computer Science, or related field or equivalent work experience
  • 3+ years experience working with web APIs (REST, SOAP, OData)
  • 3+ years with Microsoft SQL (T-SQL)
  • 2+ years experience with Microsoft data engineering tools, such as Azure Data Factory (ADF), Data Lake, Synapse, Data Bricks and Logic Apps
  • 3+ years' experience working with unstructured and semi-structured data formats (e.g., CSV, JSON and XML)

QUALIFICATIONS, SKILLS, COMPETENCIES, AND ABILITIES
  • Strong familiarity with established design patterns (e.g., ETL, ELT, CDC) for data integration.
  • Strong familiarity with established design patterns (e.g., Kimball) for both analytical and operational databases.
  • Experience working under an agile methodology (e.g., Scrum, XP, Kanban, Scrumban, etc.) and related tools (e.g., Azure DevOps, Jira Boards).
  • Some scripting experience with PowerShell.
  • Experience developing integrations with ERP systems.
  • Experience working with one of the following languages: Python, R, Java
  • Demonstrated ability to communicate and partner with stakeholders in a fast-paced environment.
  • Problem solver with a process-thinking mindset
  • Willingness to help others wherever needed as part of a small, cross-functional team.
  • Eagerness to learn new technologies and approaches.
  • Experience with Power Platform (preferred)
  • Familiarity working with SQL database projects in Visual Studio (strongly preferred)

PHYSICAL REQUIREMENTS/WORK ENVIRONMENT
The physical demands and work environment described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Frequently required to walk, sit, climb, bend, reach and squat/kneel. The Data Engineer works primarily indoors and will be sitting prolonged periods of sitting at a desk and working on a computer. Must be able to access and navigate each department at the organization's facilities. The Data Engineer may be required to lift heavy objects; therefore, The Data Engineer must be able to lift 25lbs.
Work hours may include early morning, late afternoon/evening hours, and weekends in combination depending on job demands.
AAP /EEO STATEMENT
The Company is committed to the cause of equal employment opportunity for all employees and applicants, thus abiding by all applicable state and federal laws. Our practices regarding employment, job promotion, compensation, training, and termination do not discriminate on the basis of race, color, religious creed, age, sex, national origin, veteran's status, disability, pregnancy, genetic information, or any other legally protected status. It is expected that all employees, both management and staff, will fully support these nondiscriminatory policies.
The company has reviewed this job description to ensure essential functions and duties have been included. It is not intended to be an exhaustive list of all functions, responsibilities, skills, and abilities.
Last Revised 07/2025

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