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Data Engineer Jobs in Houston, TX (NOW HIRING)

Sr. Data Engineer

Houston, TX

$105K - $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 ...

Job Title: Sr. Data Engineer Location: Houston, TX Length: 6-10 months Job Summary We are seeking a skilled Data Engineer with extensive, hands-on expertise in Azure Databricks to design, develop ...

Public Health Data Engineer

Houston, TX

$109K - $131K/yr

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

Public Health Data Engineer

Houston, TX · On-site

$70K - $116K/yr

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

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 ...

Senior Data Engineer

Texas City, TX · On-site

$90K - $123K/yr

Senior Data Engineer Experience: 12+ Years Job Type: W2 Contract Job Summary We are seeking a highly experienced Senior Data Engineer with 12+ years of experience in designing, developing, and ...

Sr Data Engineer

Houston, TX · On-site

$118K - $142K/yr

We currently have an exciting opportunity for Sr Data Engineer to join our Tailored Technology team. This individual will assist with assessing the design, development, and maintenance of data ...

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 ...

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 ...

Data Analytics Engineer

Spring, TX · On-site

$96K - $116K/yr

Data Engineer / Analytics Engineer Location: Spring, TX Local candidates only - must be located within 40 miles of Spring, TX We're looking for a highly experienced Data/Analytics Engineer with 10 ...

New

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 ...

PCA Data Engineer

Houston, TX · On-site

$109K - $131K/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 ...

Senior Data Engineer

Houston, TX · On-site

$194K/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.

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms, pipelines, and cloud-based analytics solutions. The ideal candidate will have hands-on experience ...

Senior Data Engineer

Houston, TX · On-site

$80K - $133K/yr

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms, pipelines, and cloud-based analytics solutions. The ideal candidate will have hands-on experience ...

AI Data Engineer

Spring, TX · On-site

$101K - $122K/yr

They are seeking an AI Data Engineer with expertise in data structures and AI/ML workflows, responsible for designing data pipelines, integrating AI analytics, and collaborating with data modelers to ...

Data Engineer

Houston, TX · On-site

$80/hr

Design, develop, and maintain data pipelines and infrastructure to collect, process, and analyze large datasets. Implement ETL processes, optimize database performance, and ensure data quality and ...

Showing results 41-60

Data Engineer information

See Houston, TX salary details

$42.5K

$123.9K

$169.5K

How much do data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data engineer in Houston, TX is $123,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $131,300.00 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 Houston, TX?

The most popular types of Data Engineer jobs in Houston, TX are:

What job categories do people searching Data Engineer jobs in Houston, TX look for?

The top searched job categories for Data Engineer jobs in Houston, TX are:

What cities near Houston, TX are hiring for Data Engineer jobs?

Cities near Houston, TX with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $123,876 per year, or $59.6 per hour.

$105K - $127K/yr

Contractor

Re-posted 21 days ago


Job description

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\n mbridge is seeking an experienced Data engineer for a leading Oil and Gas client in Houston, TX.
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Job Title: Senior Data Engineer<\/b>
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\n Contract: 12 months plus<\/b>
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\n Location: Houston, TX<\/b>
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\n N<\/u>ote: Only Houston, TX candidates<\/u><\/b>\n <\/div>\n
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\n \- Responsibilities:<\/b>
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\n \-Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
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\n \-Work with stakeholders including the Executive, Product, Data and Design teams to assist with data\-related technical issues and support their data infrastructure needs.
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\n \-Create data tools for analytics and data scientist team members that assist them in
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\n \-Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional \/ non\-functional business requirements.
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\n \-Work with data and analytics experts to strive for greater functionality in our data systems.
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\n \-Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re\-designing infrastructure for greater scalability, etc.
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\n \-Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and other technologies.
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\n building and optimizing our product into an innovative industry leader.
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Requirements<\/h3>\n
\n Required Qualifications:<\/b>
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\n \- Minimum 10+ years of experience
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\n \-Analytics\/data product solution architecture on Azure (Azure Data Factory, Databricks)
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\n \-Data extract, load and transformation techniques and tools including orchestration of needed azure resources
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\n \-Azure analytics services
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\n \-Programming, scripting (Python, SQL, Scala)
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\n \-Analytics data frameworks (Spark etc.)
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\n \-Data architecture concepts understanding (relational and dimensional data models)
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\n \-Information security
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\n \-Software engineering tools and methodologies (e.g. Agile, ADO, Ansible, GIT)
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