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Data Engineering Intern Jobs in Austin, TX (NOW HIRING)

Quantitative Developer Intern

Austin, TX · On-site

$19 - $25/hr

As an intern, you'll work on high-impact problems critical to Base's success and deliver solutions ... data-driven decision-making. * Strong software engineering skills, including test-driven ...

Help capture and organize completed project schedule data to support the Data Analytics team ... Currently pursuing a degree in Construction Management, Civil Engineering, Architectural ...

New

... or field data for inclusion in reports. Apply sound engineering principles and be able to ... Engineer-in-Training (EIT) or Engineering Intern (EI) designation * Follow safety rules, guidelines ...

Field Engineer

Austin, TX · On-site

$62K - $87K/yr

May work with engineering technician crews in testing, observations and data gathering activities ... Engineer-in-Training (EIT) or Engineering Intern (EI) designation About Us Terracon is a 100 ...

GEO/Pave Intern

Austin, TX · On-site

$14.75 - $19.75/hr

The mission of a Technician for HVJ, a leading specialty engineering firm in Texas, is to support ... Run reports for GEO/Pavement as needed and provide data entry if needed * All other duties assigned

Showing results 41-60

Data Engineering Intern information

See Austin, TX salary details

$10

$19

$29

How much do data engineering intern jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data engineering intern 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 types of projects and technologies can a data engineering intern expect to work with during their internship?

As a Data Engineering Intern, you’ll typically work on projects involving data pipeline development, data cleaning, and integration of data from various sources. You can expect to use technologies like SQL, Python, and tools such as Apache Spark, Hadoop, or cloud platforms like AWS or Google Cloud. Interns often collaborate closely with data engineers, analysts, and sometimes data scientists to ensure data is accessible, reliable, and well-organized for analysis. This hands-on experience helps you build foundational skills and understand real-world data workflows within a collaborative team environment.

What does a data engineering intern do?

A Data Engineering Intern assists in building and maintaining the systems and infrastructure that allow organizations to collect, store, and analyze large volumes of data. Their responsibilities often include cleaning and organizing raw data, developing data pipelines, and supporting the work of data engineers and data scientists. Interns may also work with tools like SQL, Python, and cloud platforms to automate data workflows. This role provides hands-on experience in managing data processes and understanding the fundamentals of data engineering in a real-world environment.

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

AspectData Engineering InternData Analyst Intern
Required SkillsBasic SQL, programming (Python, Java), understanding of data pipelinesData visualization, SQL, statistical analysis
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness intelligence teams, reporting tools, dashboards
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, retail, business sectors

While both roles involve working with data, a Data Engineering Intern focuses on building and maintaining data pipelines and infrastructure, whereas a Data Analyst Intern analyzes data to generate insights and reports. The roles share some technical skills like SQL but differ in their core responsibilities and work environments.

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

To thrive as a Data Engineering Intern, you need foundational knowledge in programming (especially Python or Java), databases, and data structures, often obtained through coursework in computer science or related fields. Familiarity with SQL, cloud platforms (like AWS or Azure), and data pipeline tools such as Apache Spark or Airflow is typically required. Strong problem-solving skills, attention to detail, and effective communication set exceptional interns apart. These skills and qualities are crucial for efficiently handling data workflows, collaborating with teams, and contributing to high-quality data solutions.
What are the most commonly searched types of Data Engineering jobs in Austin, TX? The most popular types of Data Engineering jobs in Austin, TX are:
What cities near Austin, TX are hiring for Data Engineering Intern jobs? Cities near Austin, TX with the most Data Engineering Intern job openings:
Infographic showing various Data Engineering Intern job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $39,821 per year, or $19.1 per hour.

Quantitative Developer Intern

Base Power Company

Austin, TX • On-site

$19 - $25/hr

Full-time, Internship

Re-posted 16 days ago


Job description

About Base
Base is America's next-generation power company. We're rebuilding the foundation of modern civilization-electricity-by deploying a vast network of distributed batteries that is transforming today's fragile, centralized grid into a resilient and abundant system. We are engineers, operators, and creatives solving some of the most complex, interdisciplinary challenges of our time.
About the Role
We're looking for a highly motivated, intellectually curious, mission-driven software engineer to join our Markets team. As an intern, you'll work on high-impact problems critical to Base's success and deliver solutions alongside full-time team members.
What You'll Do
Algorithms & Optimization:
At Base, we operate distributed energy resources that trade in real-time electricity and ancillary service markets. You'll help design and implement sequential decision algorithms that determine when and how to trade. Responsibilities will include:
  • Designing algorithms for trading a fleet of energy storage resources in ERCOT.
  • Validating physics- and economics-based models in a simulation environment.
  • Implementing and deploying new algorithms to our production trading stack.

Risk & Trading:
Base also enters into financial contracts to hedge against volatility in electricity markets. You'll help identify, evaluate, and automate new hedging strategies. Responsibilities will include:
  • Quantifying long-term financial risk under different operating strategies.
  • Identifying and assessing new products and contract structures.
  • Developing software to automate valuation and execution of trades.

What You'll Bring
  • First-principles thinker with a strong problem-solving mindset.
  • Expertise in optimization techniques and sequential decision-making algorithms.
  • Proficiency in statistics, machine learning, and data-driven decision-making.
  • Strong software engineering skills, including test-driven development and CI/CD workflows.
  • Proficiency in Python and SQL; ability to write clean, maintainable, and scalable code.

Preferred Skills
  • Knowledge of energy markets, energy systems, or wholesale power trading.
  • Experience in commodities, equities, or derivatives trading.

About the Team
The Markets team at Base is tasked with ensuring the grid-support performance and profitability of Base's distributed battery fleet. This encompasses device communications with balancing authorities, telemetry analysis, algorithms for fleet aggregation and economic dispatch, through to financial portfolio management in wholesale energy markets. Our team is made up of physicists, economists, computer scientists, and engineers; the best candidates will bring the day-over-day intensity of an operator with the foresight to drive the long term development of simpler, more performant automated control. Success looks like building the airplane as it falls out of the sky.
Please note: Base is a startup, which means priorities shift and evolve quickly. Your role may expand or change based on the needs of the business at any given time, so the responsibilities listed may not be exhaustive.
Our Values
  • First Principles Thinking: Question assumptions. Principles > rules.
  • Operate at Base Pace: Focus on what matters, act quickly, and learn by doing.
  • Give & Get Feedback: Be direct, be humble, and maintain a growth mindset.
  • Everyone's an Owner: Follow through on commitments and own results.
  • Strong Opinions, Loosely Held: Drive clarity and make calls with imperfect information.
  • Committed to the Mission: Rebuilding the grid is a big challenge. We work hard because we care deeply about the impact we're creating. We work in-person. It's not a 9-to-5. We are all-in.
  • Fun & Optimism Coexist with Grit: Collaboration and celebration coincide with the intensity of building real things.
Do the best work of your life at Base.