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Data Engineer Jobs in Texas (NOW HIRING)

Arva Intelligence

Data Engineer

Houston, TX · On-site

$95K - $130K/yr

Data Engineer Department : Modeling & Analytics Reports to : Lead Modeling Scientist Location : Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is responsible ...

XTG

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data pipelines, integrations, and data models that support enterprise reporting, analytics, data migration, and ...

INSPYR Solutions

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 candidates local to the Houston, TX area will be considered. Duration: 6 + months Compensation: $70 to $85 ...

NTT DATA Services

Data Engineer - Hybrid

Irving, TX · On-site +1

$75K - $130K/yr

Data Engineer We are looking for a Data Engineer who is passionate about building scalable data systems and enabling high‑quality analytics, machine learning, and business intelligence. In this ...

Artius Solutions

Data Engineer

Dallas, TX · On-site

$60 - $65/hr

Data Engineer Location: Dallas, TX Job Summary: As a Databricks Lead, you will be a critical member of our data engineering team, responsible for designing, developing, and optimizing our data ...

Perficientcorp Inc

Data Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

Sr. Data Engineer - Fort Worth, TX (3 Days Onsite) Description: Minimum Qualifications- Education & Prior Job Experience 5-7 years software solution development using agile, DevOps, operating in a ...

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 ...

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 ...

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 ...

Qode

Data Engineer

Irving, TX · On-site

$110K - $133K/yr

Job Title: Data Engineer - MEM SQL Location: New Jersey / Irving, TX / Tampa, FL We are looking for an experienced Data Engineer with strong expertise in MEM SQL (SingleStore) to join our team ...

Cain Watters & Associates, LLC

Data Engineer

Frisco, TX · On-site

$116K - $135K/yr

The Data Engineer will enable trusted, AI-ready data foundations and support client- and vendor-facing technology solutions that are critical to business operations, growth, and service delivery.

AaraTechnologies Inc

DATA ENGINEER

Texas City, TX · On-site

$98K - $117K/yr

Data Engineer Healthcare (2 3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a motivated Data Engineer Healthcare (2 3 years experience) to support healthcare data ...

Saxon Global

Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

Data Engineer Frisco TX Individuals within the Data Engineering role work closely with business stakeholders and EITS team members to understand the business requirements that drive the analysis and ...

Mastech Digital

Data Engineer

Roanoke, TX · On-site

$130K/yr

We are currently seeking a Data Engineer for our client in the Financial Services domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a ...

Habitat Energy

Data Engineer

Austin, TX · Hybrid

$113K - $136K/yr

Data Engineer Habitat Energy is a fast growing technology company focussed on the physical and financial optimisation of energy storage and renewable generation assets globally through complex models ...

Programmers.io

Associate Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Associate Data Engineer Summary: Support the development of data engineering solutions on Azure with foundational skills in SQL and cloud platforms. Ideal for candidates ready to grow into a ...

Dlapiper

Data Engineer

Austin, TX

$113K - $136K/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 ...

Habitat Energy

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Data Engineer Habitat Energy is a fast growing technology company focussed on the physical and financial optimisation of energy storage and renewable generation assets globally through complex models ...

Solomon Page

Data Engineer

Austin, TX · On-site

$55 - $70/hr

We are seeking a skilled Data Engineer to support a critical enterprise data migration initiative. This role will focus on analyzing existing Hierarchical Data Models (HDM), understanding complex ...

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All JobsData Engineer JobsData Engineer Jobs in Texas

Data Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do data engineer jobs pay per year?

As of Jul 3, 2026, the average yearly pay for data engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 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.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Texas? The most popular types of Data Engineer jobs in Texas are:
What are popular job titles related to Data Engineer jobs in Texas? For Data Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Texas look for? The top searched job categories for Data Engineer jobs in Texas are:
What cities in Texas are hiring for Data Engineer jobs? Cities in Texas with the most Data Engineer job openings:
What are popular job titles related to Data Engineer jobs in TX? For Data Engineer jobs in TX, the most frequently searched job titles are:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Texas as of June 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.

Data Engineer

Arva Intelligence

Houston, TX • On-site

$95K - $130K/yr

Full-time

Posted 14 days ago

Job description

Job Title: Data Engineer
Department: Modeling & Analytics
Reports to: Lead Modeling Scientist
Location: Remote
Base Salary Range: $95k - $130k
General Position Description
The Data Engineer is responsible for building and scaling the data and computational backbone that supports Arva's ecosystem modeling and measurement, reporting, and verification platforms. This role sits within a multidisciplinary Data Science team and focuses on designing reliable, auditable, and scalable data systems that enable biogeochemical modeling and optimization at production scale.
In this role, the Data Engineer will design and maintain production-grade data pipelines that integrate diverse datasets including field measurements, management practices, soils, and weather with process-based ecosystem models. The role plays a critical part in ensuring data quality, reproducibility, and traceability so that scientific outputs can be translated into trusted, credit-grade results with real-world impact.
Primary Job Responsibilities
Data Pipeline and Workflow Development
  • Design, implement, and maintain scalable data pipelines supporting ecosystem and biogeochemical modeling
  • Build reproducible workflows that generate standardized model inputs and manage outputs across space, time, and scenario analysis
  • Integrate heterogeneous datasets, including field data, management data, soil data, and weather data, into modeling pipelines

Cloud Infrastructure and Data Systems
  • Develop and maintain cloud-based infrastructure to support modeling pipelines and optimization workflows
  • Implement data storage solutions using relational, spatial, and object-based databases
  • Support efficient data access and processing using platforms such as PostgreSQL, PostGIS, and cloud object storage

Data Quality, Governance, and Auditability
  • Ensure data quality, versioning, traceability, and auditability to support measurement, reporting, and verification requirements
  • Implement validation and monitoring processes to ensure reliability of model inputs and outputs
  • Support transparent, repeatable workflows suitable for regulatory and credit market review

Software Engineering and Collaboration
  • Write clean, modular, and well-documented production code that supports maintainable and scalable data systems
  • Apply software engineering best practices including testing, version control, and documentation
  • Collaborate closely with Data Science and Technology teams to align data infrastructure with modeling, analytics, and production needs

Key Competencies / Requirements
  • 3+ years demonstrated experience building and maintaining data pipelines for large, complex, and heterogeneous datasets
  • Strong proficiency in Python and modern data engineering tools, with experience writing production-grade, testable code
  • Experience working with cloud platforms, with AWS strongly preferred
  • Familiarity with containerization tools such as Docker and version control systems such as GitHub
  • Experience with relational and spatial databases, including PostgreSQL and PostGIS
  • Experience working with geospatial data formats and spatial data processing
  • Experience supporting scientific or ecosystem modeling workflows preferred
  • Familiarity with workflow orchestration tools such as Airflow or Prefect preferred
  • Bachelor's or Master's degree or equivalent experience in Data Engineering, Computer Science, Environmental Informatics, or a related field

Apply