2

Entry Level Data Engineer Internship Jobs in Austin, TX

Data Engineer (Starlink)

Bastrop, TX · On-site

$113K - $136K/yr

Bachelor's degree in computer science, data science, physics, mathematics, or another STEM discipline * 1+ years of professional data engineering or software engineering experience (internship ...

Data Engineer (Starlink)

Bastrop, TX · On-site

$113K - $136K/yr

... internship experience applicable) • 1+ years of development experience in Python or another modern programming language (SQL, etc.) Preferred : • Experience improving CRM data quality (deduping ...

Data Engineer (Starlink)

Bastrop, TX · On-site

$113K - $136K/yr

Bachelor's degree in computer science, data science, physics, mathematics, or another STEM discipline * 1+ years of professional data engineering or software engineering experience (internship ...

Data Engineer (Starlink)

Bastrop, TX · On-site

$113K - $136K/yr

Bachelor's degree in computer science, data science, physics, mathematics, or another STEM discipline * 1+ years of professional data engineering or software engineering experience (internship ...

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

The Data Analyst I performs entry-level data analysis and data research work. Work involves ... Internship or TWC Apprenticeship will satisfythe minimum qualifications. YOU ARE A GREAT FIT WITH ...

Roadway Project Engineer (Entry Level)

Round Rock, TX · On-site

$62K - $82K/yr

Garver is seeking an entry-level Roadway Project Engineer to join our growing Transportation Team ... Previous experience or internship in consulting engineering with a primary focus on transportation ...

New

Roadway Project Engineer (Entry Level)

Round Rock, TX · On-site

$62K - $82K/yr

Garver is seeking an entry-level Roadway Project Engineer to join our growing Transportation Team ... Previous experience or internship in consulting engineering with a primary focus on transportation ...

New

next page

Showing results 1-20

Entry Level Data Engineer Internship information

See Austin, TX salary details

$10

$19

$29

How much do entry level data engineer internship jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for entry level data engineer internship in Austin, TX is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $20.72 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data Engineer Internship vs Data Analyst Intern?

AspectEntry Level Data Engineer InternshipData Analyst Intern
Required CredentialsBasic programming, SQL, understanding of data pipelinesStatistical knowledge, Excel, SQL
Work EnvironmentTech companies, data teams, collaborative projectsBusiness units, reporting, data visualization
Employer & Industry UsageTech, finance, healthcare, startupsMarketing, finance, consulting, retail

Both roles often require SQL and basic programming skills, but Data Engineer Internships focus on building data pipelines and infrastructure, while Data Analyst Internships emphasize data analysis and visualization. The internship choice depends on whether you prefer working on data engineering tasks or data analysis projects within similar industry environments.

What cities near Austin, TX are hiring for Entry Level Data Engineer Internship jobs? Cities near Austin, TX with the most Entry Level Data Engineer Internship job openings:
Infographic showing various Entry Level Data Engineer Internship job openings in Austin, TX as of August 2026, with employment types broken down into 33% Internship, 54% Full Time, and 13% Part Time. Highlights an 86% In-person, 7% Hybrid, and 7% Remote job distribution, with an average salary of $39,821 per year, or $19.1 per hour.

$113K - $136K/yr

Full-time

Re-posted 19 days ago


Job description

We're looking for a Data Engineer to help build and maintain the data pipelines that power our investment, research, and analytics teams. You'll work closely with data scientists, quants, and investors to onboard new datasets, ensure data quality, and maintain the reliability of the data that drives decision-making across the firm.
What You'll Do
• Build, maintain, and troubleshoot ETL pipelines (Airflow, Dagster, or similar).
• Ingest and deeply understand new datasets - their structure, quirks, and business meaning.
• Maintain high-quality, well-documented datasets used across the organization.
• Partner with non-engineering stakeholders to understand data needs and guide them to the right sources.
• Evaluate data vendors and ensure we use the best data for each use case.
What We're Looking For
• Strong Python and SQL skills.
• Experience building data pipelines; familiarity with Spark or Pandas a plus.
• Strong attention to detail and persistence in debugging data issues.
• Clear communication skills, especially with non-technical audiences.
• 1-3 years of experience (or strong internships); senior candidates also welcome.
Who Thrives Here
• Curious, detail-oriented engineers who like diving deep into complex datasets.
• People who enjoy owning problems end-to-end and defining their own requirements.
• Engineers who build reliable, maintainable systems and prefer fast, iterative execution.
Why Join
• High-impact role: the data you manage powers investment decisions across the firm.
• Broad exposure to many types of financial and alternative data.
• Opportunity to shape a growing data function and work with teams across the entire company.
Qualifications
• Strong Python and SQL skills.
• Experience building data pipelines; familiarity with Spark or Pandas a plus.
• Strong attention to detail and persistence in debugging data issues.
• Clear communication skills, especially with non-technical audiences.
• 1-3 years of experience (or strong internships); senior candidates also welcome.
Why is This a Great Opportunity
You are building data infrastructure that directly drives investment decisions. The pipelines you own power research, analytics, and live decision making across the firm. This is not abstract data work. It affects capital allocation.
You work directly with quants, data scientists, and investors. You are not buried behind layers of product or management. You see how data is used, where it breaks, and how to make it better. That feedback loop is fast and real.
You get broad exposure to high value datasets. Market data, alternative data, vendor feeds, internal research outputs. You learn how data actually behaves in production, not how it looks in a demo.