ZipRecruiter

Log In

1

Data Engineering Internship Jobs in Texas (NOW HIRING)

Cypress HCM

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Work closely with Cyber Fraud Investigations and Data Engineering teams to establish data science ... This role is not suitable for entry-level candidates or interns. Compensation: * $65.00 to $69.72 ...

Prolim Global

Snowflake Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Must have completed at least 1-2 academic, internship, personal, or training projects related to data engineering, analytics, or cloud data platforms. * Should be able to clearly explain: * Business ...

PROLIM Global Corporation

Snowflake Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Must have completed at least 1-2 academic, internship, personal, or training projects related to data engineering, analytics, or cloud data platforms. * Should be able to clearly explain: * Business ...

KCI Technologies Inc.

MEP Engineering Intern

San Antonio, TX · On-site

$15 - $19.50/hr

Interns will be assigned a dedicated supervisor and mentor, are required to attend planned ... Conduct data analysis and reporting * Complete field surveys or laboratory assignments * Conduct ...

previous pagenext page

Showing results 21-40

All JobsData Engineering JobsData Engineering Internship JobsData Engineering Internship Jobs in Texas

Data Engineering Internship information

See Texas salary details

$10

$17

$27

How much do data engineering internship jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data engineering internship in Texas is $17.99, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $19.47 per hour, depending on experience, location, and employer.

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

As a Data Engineering Intern, you can expect to work on a variety of tasks such as building data pipelines, cleaning and transforming raw data, and assisting in the integration of data from multiple sources. You may also support the team in optimizing database performance and ensuring data quality. Interns often collaborate with data scientists, analysts, and software engineers, gaining exposure to different tools and technologies like SQL, Python, and cloud platforms. These experiences provide a strong foundation for a future career in data engineering.

What are the key skills and qualifications needed to thrive as a data engineering intern?

To thrive as a Data Engineering Intern, you need a solid grasp of programming (especially Python or Java), databases (SQL/NoSQL), and data structures, often demonstrated by coursework or relevant projects. Familiarity with data processing tools like Apache Spark, ETL pipelines, and cloud platforms such as AWS or Google Cloud is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication help interns excel in collaborative and fast-paced environments. These skills are crucial for building reliable data pipelines and supporting data-driven decision-making within organizations.

What is the difference between Data Engineering Internship vs Data Analyst Internship?

AspectData Engineering InternshipData Analyst Internship
Required SkillsSQL, Python, ETL, cloud platformsExcel, SQL, data visualization tools
Work EnvironmentData pipelines, backend systems, cloud infrastructureData reporting, dashboards, business insights
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Data Engineering Internships focus on building and maintaining data pipelines and infrastructure, requiring technical skills like SQL and Python. Data Analyst Internships emphasize analyzing data to generate insights, often using Excel and visualization tools. Both roles are common in tech-driven industries but serve different functions within data teams.

What is a data engineering internship?

A Data Engineering Internship is a temporary position designed for students or recent graduates to gain practical experience in building, managing, and optimizing data pipelines and infrastructure. Interns typically work alongside professional data engineers to learn about data extraction, transformation, and loading (ETL) processes, database management, and data warehousing. This role provides hands-on exposure to tools like SQL, Python, and cloud platforms, helping interns develop essential technical skills for a career in data engineering. Interns may also assist in improving data quality and supporting analytics initiatives within a company.
What are the most commonly searched types of Data Engineering jobs in Texas? The most popular types of Data Engineering jobs in Texas are:
What are popular job titles related to Data Engineering Internship jobs in Texas? For Data Engineering Internship jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Engineering Internship jobs in Texas look for? The top searched job categories for Data Engineering Internship jobs in Texas are:
What cities in Texas are hiring for Data Engineering Internship jobs? Cities in Texas with the most Data Engineering Internship job openings:
Data Engineering Internship jobs near you
Infographic showing various Data Engineering Internship job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $37,429 per year, or $18 per hour.

Associate Data Engineer / AWS Developer (Biometric Data Platform) / Remote

Apetan Consulting llc

Austin, TX • On-site

$40 - $45/hr

Contractor

Posted 10 days ago

Job description

Role: Associate Data Engineer / AWS Developer (Biometric Data Platform)Location: Fremont, CA or Austin, TX – Remote  

Job Overview

We are looking for a Junior/Associate Data Engineer to support the development of an AWS-based data management platform for a Biometric AI R&D team. This is an excellent opportunity for a recent graduate or someone with 3-5 years of experience who is interested in cloud technologies, AI, and data engineering.

Biometric experience is Preferred. The ideal candidate should have a Computer Science or Information Systems background with strong AWS fundamentals and hands-on project experience building cloud-based applications.

Key Responsibilities
  • Build an AWS-based data repository for AI research.
  • Develop and manage data storage using Amazon S3.
  • Design and maintain metadata tracking for datasets.
  • Build simple REST APIs to support internal applications.
  • Organize and prepare datasets for AI/ML engineers.
  • Develop lightweight internal tools for data management.
  • Support cloud application development and data workflows.
Required Skills
  • 3-5 years of experience in software or data engineering.
  • Strong understanding of AWS fundamentals.
  • Experience with Amazon S3.
  • Python programming experience.
  • Basic knowledge of REST APIs.
  • Familiarity with Git/GitHub.
  • Understanding of data management concepts.
  • Strong problem-solving and analytical skills.
  • Knowledge of AWS Lambda, API Gateway, or DynamoDB.
  • Exposure to AI/ML projects.
  • Familiarity with SQL.
  • Personal, academic, or internship projects involving cloud application development.

Preferred Titles

  • Associate Data Engineer
  • Junior Data Engineer
  • Data Engineer I
  • Cloud Data Engineer
  • Data Management Analyst
  • Junior Python Developer
  • Data Platform Associate
Education
  • BS/MS in Computer Science
  • MS in Information Systems
  • MS in Data Engineering
  • MS in Data Science
  • Software Engineering