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Data Engineering Jobs in Houston, TX (NOW HIRING)

CEDENT

Azure Data Engineer

Houston, TX

$109K - $131K/yr

Data Science, Business Intelligence, Statistics, Computer Engineering or related field, or the equivalent combination of education, professional training, and work experience * 5 or more years ...

EOG Resources, Inc.

Sr. Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Use cloud-based architecture, containerization and streaming technologies, and Python, .NET, Node, Java and SQL to design, implement and support full life-cycle data engineering projects for current ...

Guidehouse

Data Engineer Lead

Houston, TX · On-site

Define technical architecture, engineering standards, and best practices for data integration, storage, processing, and governance. * Architect and oversee the implementation of scalable ETL/ELT ...

NAVA Software Solutions

Sr. Data Engineer

Sugar Land, TX · On-site

$105K - $126K/yr

Sugarland TX - 4 days/week onsite Duration: 12 months Design, develop, and support data engineering, data modeling, and data integrations, with a primary focus on accelerating data landing and ...

Strategic Staffing Solutions

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

This is a senior, hands-on engineering role responsible for designing, developing, and optimizing scalable cloud-based data platforms and pipelines that enable AI, analytics, and machine learning ...

Virtuous Tech Inc

Data Engineer - W2 only

Houston, TX · On-site

$109K - $131K/yr

Key Skills: * 8+ years of experience in Data Engineering * Strong SQL and Python skills * ETL/ELT development * Data pipeline development and optimization * Experience with Databricks, Spark, or ...

Guidehouse

Public Health Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The ideal candidate is an early-career professional with foundational experience in data engineering, software development, or cloud technologies who is eager to learn and grow in a collaborative ...

Guidehouse

Public Health Data Engineer

Houston, TX · On-site

$70K - $116K/yr

The ideal candidate is an early-career professional with foundational experience in data engineering, software development, or cloud technologies who is eager to learn and grow in a collaborative ...

Soni Resources

Data Engineer/Data Scientist

Houston, TX · On-site

$100/hr

Ideal Background: * 5-10 years of experience in data engineering, analytics, or data science. * Strong programming skills (Python, SQL, R), with experience in big data tools (Spark, Airflow) and BI ...

Howard Hughes

Sr. Data Engineer

The Woodlands, TX · On-site

$104K - $125K/yr

Bachelor's degree in computer science, Information Systems, Data Engineering, Data Science, Software Engineering, Applied Mathematics, or a related technical field; equivalent experience considered ...

EOG Resources, Inc.

Data Engineer II

Houston, TX

$109K - $131K/yr

Bachelor's degree in Computer Science or Engineering or Information Technology.  MINIMUM EXPERIENCE: Two (2) years of experience as Data Engineer, Database Engineer, Oracle Engineer, Systems ...

Cedent

Azure Data Engineer (Houston, TX)

Houston, TX · On-site

$109K - $131K/yr

Data Science, Business Intelligence, Statistics, Computer Engineering or related field, or the equivalent combination of education, professional training, and work experience * 5 or more years ...

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All JobsData Engineering JobsData Engineering Jobs in Houston, TX

Data Engineering information

See Houston, TX salary details

$43.9K

$157.5K

$232.4K

How much do data engineering jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data engineering in Houston, TX is $157,514.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,400.00 and $162,300.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

What are the most commonly searched types of Data Engineering jobs in Houston, TX?

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

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

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

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

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

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

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

Data Engineering jobs near you
Infographic showing various Data Engineering 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 $157,514 per year, or $75.7 per hour.

Azure Data Engineer

CEDENT

Houston, TX

$109K - $131K/yr

Full-time

Re-posted 20 days ago

Job description

Job Title:- Azure Data Engineer
Location:- Spring Texas (On-Site)
Need Only Local to Houston, TX
Experience;- 10+ Years
Responsibilities
  • Perform ETL, ELT operations and administration using modern tools, programming languages and systems securely and in accordance with enterprise data standards
  • Assemble, model, transform large complex sets of data that meet non-functional and functional business requirements into a format that can be analyzed
  • Automate data processing of data from multiple data sources
  • Develop, deploy and version control code for data consumption, reuse for APIs
  • Employ machine learning techniques to create and sustain data structures
  • Perform root cause analysis on external and internal processes and data to identify opportunity for improvement, resolve data quality issues
  • Lead data-related workshops with stakeholders to capture data requirements and acceptance criteria

Skills and Qualifications
We are looking for someone who has technical depth and broad tool experience related to data engineering and has the following required qualifications:
  • Minimum bachelor’s degree in: Data Science, Business Intelligence, Statistics, Computer Engineering or related field, or the equivalent combination of education, professional training, and work experience
  • 5 or more years performing duties related to data engineering
  • Advance English level
  • Expert proficiency in at least one of these programming languages: Python, NoSQL, SQL, R, and competent in source code management
  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management
  • Create data validation methods and data analysis tools

Preferred Qualifications / Experience
  • Excellent problem-solving skills and ability to learn through scattered resources
  • Automate routine tasks via scripts, code
  • Capacity to successfully manage a pipeline of duties with minimal supervision
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Modify existing reports, extracts, dashboards, and cubes as necessary
  • Commitment to operations integrity and ability to hold self and others accountable for results

Required Proficiency:
  • Advanced
  • SQL
  • Snowflake
  • Tamr
  • Python
  • GitHub
  • Intermediate
  • Databricks
  • Airflow
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About Cedent

Sourced by ZipRecruiter

CEDENT strives to attract and retain the best people and provide an environment where they can all develop professionally and build a rewarding career. As a result, we create an inclusive environment that is rich in diversity, acknowledges each individual's uniqueness and promotes respect, personal achievement and stewardship. Our clients are global and so is CEDENT. We build and maintain a global workforce that includes people from different backgrounds, with a vast range of skills and experience all united by a common culture and commitment to help our clients achieve high performance. Cultivating a diverse workforce and inclusive work environment makes business sense. Our peoples varied skills are the talent engine that powers CEDENT, enabling it in turn to deliver the innovative solutions that help our clients outperform competitors.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Plano, TX, US

Year founded

2008

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