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Data Engineer Jobs in Houston, TX (NOW HIRING)

BizTech Fusion

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Data Engineer Location: Houston, TX - Onsite Experience: 5+ years of relevant software/data engineering experience Contract Duration: 6 months, with potential extension based on performance ...

New

Strategic Staffing Solutions

Data Engineer

Houston, TX

$109K - $131K/yr

Data Engineer Location: Houston, TX Contract Length: 12+ Months Job ref# 247245 Seeking a Senior Data Engineer to support Enterprise AI initiatives within the Shale & Tight business. This is a senior ...

Systech Corp, Inc.

Data Engineer

Texas City, TX · On-site

$98K - $117K/yr

Data Engineer We are looking for an experienced Data Engineer with 8+ years of experience in designing, developing, and maintaining scalable data solutions. Responsibilities * Design and develop data ...

Rysun Labs Inc

Data Engineer

Houston, TX · 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 ...

Smart Caliber Technology

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Data Engineer Location: Houston, TX (onsite only) Contract Role Role Overview: The Data Engineer focuses on building and maintaining data platforms, data pipelines, AI/ML workflows, and cloud-based ...

New

Guidehouse

Data Engineer

Houston, TX · 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 ...

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 ...

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 ...

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 ...

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 ...

Guidehouse

Data Engineer

Houston, TX · On-site

$89K - $148K/yr

Guidehouse seeks a Data Engineer with some AI experience to support in building, optimizing, and maintaining data pipelines, AI solutions, and analytics platforms. The ideal candidate will have hands ...

3B Staffing LLC

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

role- Data Engineer with Azure + Wisdom.ai Houston, Texas Travel up to 50% regional travel expected. Need local candidates. Rate is open muat have previous Payments domain expereince May be from ...

New

3B Staffing LLC

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

role- Data Engineer with Azure + Wisdom.ai Houston, Texas Travel up to 50% regional travel expected. Need local candidates. Rate is open muat have previous Payments domain expereince May be from ...

New

Fervo Energy Company

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The Data Engineer, within the Data & AI team, designs, builds, and operates the pipelines, models, and platforms that move data from the field to the people and systems that act on it - engineers ...

Fervo Energy

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The Data Engineer, within the Data & AI team, designs, builds, and operates the pipelines, models, and platforms that move data from the field to the people and systems that act on it - engineers ...

Stanford Climate Ventures

Data Engineer

Houston, TX · On-site

$100 - $140/hr

The Data Engineer, within the Data & AI team, designs, builds, and operates the pipelines, models, and platforms that move data from the field to the people and systems that act on it -- engineers ...

New

B Capital

Data Engineer

Houston, TX · On-site

$80 - $110/hr

The Data Engineer, within the Data & AI team, designs, builds, and operates the pipelines, models, and platforms that move data from the field to the people and systems that act on it -- engineers ...

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 ...

INSPYR Solutions

Lead Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Lead Data Engineer Location: Houston, TX 77002 (ONSITE) Duration: Direct Hire Work Requirements: , Holders or Authorized to Work in the U.S. We are currently seeking an experienced Lead Data Engineer ...

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All JobsData Engineer JobsData Engineer Jobs in Houston, TX

Data Engineer information

See Houston, TX salary details

$40.5K

$118K

$161.5K

How much do data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data engineer in Houston, TX is $118,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $125,100.00 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.
More about Data Engineer jobs

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 are popular job titles related to Data Engineer jobs in Houston, TX?

For Data Engineer jobs in Houston, TX, the most frequently searched job titles 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:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 47% Full Time, 5% Temporary, and 48% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $118,026 per year, or $56.7 per hour.

Data Engineer

BizTech Fusion

Houston, TX • On-site

$109K - $131K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Engineer

Location: Houston, TX – Onsite

Experience: 5+ years of relevant software/data engineering experience

Contract Duration: 6 months, with potential extension based on performance

Employment Type: Contract

About the Opportunity

BizTech Fusion is hiring a Data Engineer on behalf of one of its clients.

We are seeking an experienced Data Engineer to build and maintain scalable data platforms, data pipelines, AI/ML workflows, and cloud-based solutions supporting enterprise software products. The ideal candidate will have strong experience in Python, SQL, data modeling, ETL, cloud platforms, AI/ML, and modern data engineering practices.


Mandatory Skills & Qualifications

  • 5+ years of relevant software or data engineering experience.
  • Experience with Python and SQL.
  • Strong knowledge of data modeling and database concepts.
  • Hands-on experience designing and developing ETL processes and data pipelines.
  • Experience with AI/ML frameworks and workflows.
  • Experience with cloud platforms such as Microsoft Azure and/or AWS.
  • Strong understanding of software development fundamentals.
  • Experience with system design and architecture.
  • Full-stack development exposure is preferred, particularly Angular and Node.js.
  • Oil & Gas industry experience is preferred.
  • Bachelor’s degree in Computer Science or a related field.

Key Responsibilities

  • Design, build, and maintain scalable data pipelines and ETL processes.
  • Develop and manage end-to-end AI/ML pipelines.
  • Support data modeling, data integration, and data quality initiatives.
  • Design and deploy cloud-native data and AI solutions.
  • Develop and implement LLM and Generative AI solutions.
  • Build solutions using Retrieval-Augmented Generation (RAG).
  • Work with vector databases and vector search technologies.
  • Develop and manage prompt orchestration pipelines.
  • Ensure data governance, security, and responsible AI practices.
  • Monitor production systems for reliability, performance, and scalability.
  • Participate in architecture and design decisions for enterprise-scale data and AI platforms.
  • Collaborate with software engineers, data scientists, architects, and other cross-functional teams.

Preferred Technologies & Experience

  • Python
  • SQL
  • ETL / Data Pipelines
  • Data Modeling
  • Azure / AWS
  • AI/ML Frameworks
  • LLM / Generative AI
  • RAG
  • Vector Databases / Search
  • Prompt Engineering & Orchestration
  • Angular
  • Node.js
  • Cloud-native architectures

Education

  • Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field.


Work Location

Houston, TX – Onsite only

Interested candidates are encouraged to apply with their updated resume.


Requirements:
None