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Data Engineer Internship Jobs in Houston, TX (NOW HIRING)

Guidehouse

Data Engineer

Houston, TX

$53K - $88K/yr

Internship, academic, research, or project experience involving data engineering, cloud computing, or software development. * Exposure to Databricks, Spark, or large-scale data processing ...

New

Guidehouse

Public Health Data Engineer

Houston, TX

$109K - $131K/yr

Internship, academic, research, or project experience involving data engineering, cloud computing, or software development. * Basic understanding of relational databases and data querying concepts.

New

Jindal PIPE

Be Seen First

Engineering Internship

Baytown, TX · On-site

$15.25 - $19.75/hr

We are currently recruiting interns in the following disciplines: * Mechanical Engineering ... Analyze production and quality data to identify improvement opportunities. * Prepare technical ...

Schnabel

Construction and Engineering Internship

Pearland, TX · On-site

$15 - $19.50/hr

This role reports directly to a Schnabel Engineer. You will also have a mentor that will dedicate ... Field data collection and entering into excel spreadsheets * Quantity take-offs and preconstruction ...

Chevron

2026-2027 Petroleum Engineer Intern

Houston, TX · On-site +1

$10K/mo

... data scientists, and/or software developers. Petroleum engineers develop technical skills in ... Interns will be provided with a mentor to provide guidance on their projects. Positions can be ...

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Data Engineer Internship information

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$36

How much do data engineer internship jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for data engineer internship in Houston, TX is $24.27, according to ZipRecruiter salary data. Most workers in this role earn between $19.76 and $27.55 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a data engineer internship, and why are they important?

To thrive as a Data Engineer Intern, you need a solid background in programming (especially Python or Java), SQL, and basic data management concepts, often gained through coursework in computer science, data science, or related fields. Experience with tools like SQL databases, ETL pipelines, and cloud platforms (such as AWS or Azure), as well as familiarity with big data frameworks like Hadoop or Spark, is highly valuable. Strong analytical thinking, attention to detail, and the ability to communicate technical information clearly help interns collaborate effectively within diverse teams. These skills are vital for supporting data infrastructure development, ensuring data quality, and contributing to impactful data-driven solutions.

What is a data engineer internship?

A Data Engineer Internship is a temporary, entry-level role where interns gain hands-on experience in data infrastructure, ETL pipelines, and database management. Interns typically work with large datasets, assist in building data models, and collaborate with data scientists and analysts to ensure efficient data processing. They learn tools like SQL, Python, and cloud platforms while improving data quality and automation processes. This role provides valuable industry experience and prepares interns for full-time data engineering positions.

What types of projects or tasks can I expect to work on during a data engineer internship?

As a Data Engineer Intern, you can expect to assist with building and maintaining data pipelines, cleaning and transforming datasets, and supporting the integration of new data sources. You may also help optimize database performance, troubleshoot data quality issues, and collaborate with data scientists or analysts to ensure data accessibility. Interns often work on real-world projects that offer hands-on experience with tools and technologies common in the industry. This exposure not only builds your technical skills but also provides valuable insights into how data engineering supports business decision-making and analytics.

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 Internship jobs in Houston, TX? For Data Engineer Internship jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Data Engineer Internship jobs in Houston, TX look for? The top searched job categories for Data Engineer Internship jobs in Houston, TX are:
What cities near Houston, TX are hiring for Data Engineer Internship jobs? Cities near Houston, TX with the most Data Engineer Internship job openings:
Data Engineer Internship jobs near you
Infographic showing various Data Engineer Internship job openings in Houston, TX as of August 2026, with employment types broken down into 6% Internship, and 94% Full Time. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $50,486 per year, or $24.3 per hour.

Data Engineer

Guidehouse

Houston, TX

$53K - $88K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 2 days ago

New

Guidehouse rating

7.7

Company rating: 7.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

42nd of 72 rated business consultants

Job description

Job Family:

Data Science & Analysis


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

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

  • Assist in developing, testing, and maintaining data pipelines and ETL/ELT processes that ingest, transform, and load data from various sources.

  • Support the implementation and enhancement of data models, databases, and cloud-based data solutions.

  • Participate in data integration, migration, and modernization initiatives under the guidance of senior engineers.

  • Develop and maintain scripts, queries, and applications using technologies such as Python, SQL, and PySpark.

  • Support cloud-based data environments and services in AWS and Azure.

  • Assist with the implementation of CI/CD processes and software development best practices using Git and related tools.

  • Monitor data pipelines and systems, identify issues, and support troubleshooting and resolution activities.

  • Perform data validation and quality assurance activities to help ensure data accuracy, completeness, and reliability.

  • Collaborate with data engineers, developers, analysts, and other stakeholders to deliver high-quality solutions.

  • Document technical processes, data flows, and system configurations.

  • Continuously develop technical skills and stay current with emerging data engineering technologies and best practices.


What You Will Need:

  • Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST.

  • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or a related technical field.

  • Experience in data engineering, software engineering, data analytics, computer science, or a STEM related technical discipline.

  • Foundational knowledge of programming languages such as Python, Java, or SQL.

  • Basic understanding of relational databases and data querying concepts.

  • Familiarity with cloud platforms such as AWS or Azure through coursework, certifications, internships, or professional experience.

  • Exposure to data integration, ETL, data warehousing, or analytics concepts.

What Would Be Nice To Have:

  • Internship, academic, research, or project experience involving data engineering, cloud computing, or software development.

  • Exposure to Databricks, Spark, or large-scale data processing technologies.

  • Familiarity with version control systems such as Git.

  • Basic understanding of software development lifecycle and Agile methodologies.

  • Strong analytical, problem-solving, and troubleshooting skills.

  • Ability to learn new technologies and work collaboratively in a team environment.

  • Strong verbal and written communication skills.

  • Familiarity with AWS services such as S3, Lambda, or Redshift, or Azure services such as Azure Data Factory, Azure Functions, or Cosmos DB.

  • Experience with data visualization or reporting tools such as Power BI, Tableau, or Kibana.

  • Exposure to CI/CD tools and DevOps practices.

  • AWS, Azure, Databricks, or related cloud/data certifications.

  • Experience supporting healthcare, public sector, or federal clients.

  • Interest in data architecture, machine learning, artificial intelligence, or advanced analytics.

  • Previous consulting, client-facing, internship, or cooperative education experience.

The annual salary range for this position is $53,000.00-$88,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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