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Data Engineer Jobs in Texas (NOW HIRING)

Data Engineer

Houston, TX ยท On-site

$60/hr

Data Engineer Location: Houston Tx Experience: 4-7 Years Mandatory Certification: * Databricks Certified Data Engineer Associate OR * Databricks Certified Data Engineer Professional Key ...

Data Engineer

Dallas, TX ยท 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 ...

Data Engineer

Dallas, TX ยท 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 ...

Data Engineer

Westlake, TX ยท On-site

$60/hr

Data Engineer Target Pay Rate: Maximum USD $60.00/hr C2C * Location: Westlake, TX * Work Mode: Hybrid / Onsite Monday through Friday every other week (Connect weeks required) * Interview Process:

Data Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

This is a hands-on engineering role with a focus on data modeling, transformation, and scalability. Key Responsibilities * Design, implement, and maintain robust ETL/ELT pipelines to ingest and ...

Data Engineer

Fort Worth, TX ยท 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 ...

Data Engineer

Dallas, TX ยท On-site

$55 - $60/hr

Analytics Engineer/Data Engineer Dallas, TX Hybrid: 3 days a week, 2 Days Remote $55-$60/hour - Depending on Experience 3 Month Contract to Hire - W-2 with Brooksource **U.S. Citizens and all other ...

Data Engineer

Houston, TX ยท On-site

$53K - $88K/yr

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

Data Engineer

San Antonio, TX ยท On-site

$53K - $88K/yr

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

Data Engineer

San Antonio, TX ยท On-site

$53K - $88K/yr

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

Data Engineer

San Antonio, TX ยท On-site

$53K - $88K/yr

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

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

DATA ENGINEER

Texas City, TX ยท 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 ...

Data Engineer

Irving, TX ยท 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 ...

Data Engineer

Houston, TX ยท 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 ...

Data Engineer

San Antonio, TX ยท On-site

$53K - $88K/yr

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

Data Engineer

Frisco, TX

$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 ...

Data Engineer

Houston, TX ยท 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 ...

Data Engineer

San Antonio, TX ยท On-site

$103K - $124K/yr

The Data Engineer supports T3i's Integrated Analytics effort by designing, developing, and maintaining scalable data infrastructure, automated data pipelines, and enterprise data solutions that ...

Showing results 21-40

Data Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do data engineer jobs pay per year?

As of Aug 22, 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.

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 Texas?

The most popular types of 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:

Infographic showing various Data Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.

Data Engineer

Rysun Labs Inc

Houston, TX โ€ข On-site

$60/hr

Full-time

Medical, Dental, Vision, PTO

Re-posted 8 days ago


Job description

Benefits:
  • Dental insurance
  • Health insurance
  • Paid time off
  • Training & development
  • Vision insurance

Rysun Labs (formerly KCS – Krish Compusoft Services) is an AI, Data & Digital innovation partner of choice for enterprises. Rysun guides and accelerates the AI & Data strategy and Digital Transformation programs for Fortune 2000 enterprises and product startups to shape remarkable customer experiences and intelligent operations. The team delivers innovative, specialized solutions that help High-tech, Retail & Ecommerce, and Energy companies to outperform competition and lead the change in their industry. Rysun partners with Microsoft, Google and AWS to bring the best of enterprise technology to its customers. Rysun believes in quality-first and is CMMI Level 5, ISO 9001 & 27001 certified. The team has a growth mindset fueled by a strong culture of collaboration that unifies its global teams across US, UK, India & South Africa (a proud Level 2 B-BBEE Contributor).
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-making. The ideal candidate will have strong experience in data engineering, cloud technologies, ETL/ELT development, and data warehousing, along with a passion for delivering high-quality data solutions.
 
Job Title: Data Engineer
Location: Houston Tx
 Experience: 4–7 Years
Mandatory Certification: 

  • Databricks Certified Data Engineer Associate OR
  • Databricks Certified Data Engineer Professional
Key Responsibilities
  •  Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
  •  Build and optimize data integration workflows from multiple data sources.
  •  Develop and manage data warehouses, data lakes, and cloud-based data platforms.
  • Collaborate with Data Analysts, Data Scientists, Product Managers, and business stakeholders to understand data requirements.
  • Ensure data quality, integrity, governance, and security across enterprise systems.
  •  Optimize SQL queries, database performance, and data processing workflows.
  • Monitor and troubleshoot data pipeline issues and implement performance improvements.
  • Support reporting, analytics, and machine learning initiatives by providing reliable datasets.
  • Implement data validation, monitoring, and automation processes.
  • Participate in Agile development processes and technical design discussions.
 Required Skills & Experience
  •  4–7 years of experience in Data Engineering or related roles.
  • Strong expertise in SQL and database design concepts.
  • Hands-on experience with ETL/ELT tools and data integration frameworks.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Strong knowledge of Data Warehousing, Data Modeling, and Data Lake architectures.
  •  Proficiency in Python, PySpark, or Scala for data processing.
  • Experience with Big Data technologies such as Spark, Databricks, Hadoop, or Kafka.
  • Knowledge of CI/CD, version control (Git), and automation best practices.
  • Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
  • Experience with Databricks, Snowflake, Redshift, Synapse, or BigQuery.
  • Familiarity with data governance, metadata management, and data quality frameworks.
  • Exposure to real-time data processing and streaming technologies.
  • Experience working in Agile/Scrum environments.