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Internship Walmart Data Science Jobs in Texas (NOW HIRING)

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position ... Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain ...

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position ... Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain ...

... Science, Statistics, Data Science, Neuroscience, Psychology, or a related field. * Laboratory or human subjects research experience (academic lab, thesis project, internship, or publication)

... Science, Statistics, Data Science, Neuroscience, Psychology, or a related field. * Laboratory or human subjects research experience (academic lab, thesis project, internship, or publication)

... Science, Statistics, Data Science, Neuroscience, Psychology, or a related field. * Laboratory or human subjects research experience (academic lab, thesis project, internship, or publication)

... data scientists, and/or software developers. Earth Scientists develop technical skills in ... Interns will be provided guidance by a supervisor and a technical mentor. We encourage the ...

What's Next After the Internship Topperforming interns may be invited back-or offered a fulltime ... Practical experience with geoscience coding, data science, and/or machine learning. Compensation ...

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Internship Walmart Data Science information

What are the most commonly searched types of Walmart Data Science jobs in Texas? The most popular types of Walmart Data Science jobs in Texas are:
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Infographic showing various Internship Walmart Data Science job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution.

Full-Stack Software Engineer Internship (Summer 2027)

Castleton Commodities International LLC

Houston, TX

Full-time

Posted 18 days ago


Job description

Application Deadline: September 1st at 11:59 pm EST

Program Summary - Data Science & Technology Internship

Company Overview:

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.

Position Overview:

CCI is developing a leading-edge analytics platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Front Office Software Engineering Interns to join our Global Data Science & Technology team in our Stamford, CT office. This internship is ideal for technically skilled students with a strong interest in building quality software that directly impacts trading, analytics, and investment workflows. You'll collaborate closely with other Software Engineer's, Data Scientist's, and Commercial end users, contributing to our front office platform through hands-on development projects using Python, cloud technologies (AWS), APIs, and Snowflake.

Responsibilities:

  • Contribute to the development of front office software tools that support real-time trading, market data analytics, and visualization.
  • Work with the commercial trading team to optimize and re-engineer pricing models, decision tools, and trading workflows.
  • Build and enhance Python-based microservices and APIs for internal data access and operations automation.
  • Assist in building data visualization dashboards using libraries such as Streamlit, integrating commercial KPIs, price curves, and supply/demand analytics.
  • Participate in cloud-native application development using AWS services, including Kubernetes and Kafka.
  • Support automation of deployment processes using modern DevOps tools (e.g., Git, Docker, Helm, CI/CD pipelines).
  • Collaborate with the Data Science team to help integrate ML-driven analytics into front office workflows.

Qualifications:

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Management Information Systems, or related technical field of study.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.)
  • Familiarity with version control tools (e.g., Git) and software development best practices.
  • Strong problem-solving abilities and an eagerness to learn about financial markets and trading systems.
  • Excellent communication skills and ability to work in a fast-paced, collaborative environment.Top of Form