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Internship Cloud Data Engineer Jobs in Spring, TX

NAVA Software Solutions

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

This position demands a blend of cloud data engineering, systems engineering, data integration, and machine learning systems knowledge to enhance GST's data capabilities, supporting advanced ...

NAVA Software Solutions

Cloud Data Manager

Houston, TX · On-site

Cloud Data Manager Location: Houston TX - 3 days/week onsite Duration: Full time /Direct Hire ... Advanced level of proficiency in DevOps, including Agile development process, containers, and ...

Medinext Global LLC

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

The ideal candidate will have experience building enterprise-scale cloud data platforms and working within the Oil & Natural Gas Midstream domain. Required Experience: * 12+ Years of Data Engineering

Kanak Elite Services Inc

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

DATA ENGINEER III CONTRACT LENGTH: 6 - 12 MONTH CONTRACT, LOOKING TO THEN CONVERT ONSITE 5 DAYS A ... MPP/cloud data platforms. * Experience implementing data quality frameworks, observability ...

Fervo Energy Company

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The Data Engineer, within the Data & AI team, designs, builds, and operates the pipelines, models ... Experience with cloud data warehousing on Snowflake (or equivalent: BigQuery, Redshift, Databricks ...

The Jupiter Group

Lead Data Engineer

Houston, TX · On-site

$97K - $128K/yr

Lead Data Engineer (Full-Time, Direct Hire) Our client, a well-established company in the midstream ... This individual will drive the implementation of cloud-based data solutions, establish scalable ...

Fervo Energy

Data Engineer

Houston, TX

$109K - $131K/yr

The Data Engineer, within the Data & AI team, designs, builds, and operates the pipelines, models ... Experience with cloud data warehousing on Snowflake (or equivalent: BigQuery, Redshift, Databricks ...

Conduit Services LLC

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

About the Position Conduit Power is seeking a Data Engineer to help build and scale our cloud-native data platform that powers operational visibility, power market analytics, asset performance ...

USM

JB061810 - Senior Data Engineer - 1707

Houston, TX · On-site

$101K - $137K/yr

This is a hands-on technical role requiring strong cloud data engineering experience, excellent problem-solving skills, and the ability to work independently while collaborating across technical and ...

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All JobsCloud Data Engineer JobsInternship Cloud Data Engineer JobsInternship Cloud Data Engineer Jobs in Spring, TX

Internship Cloud Data Engineer information

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How much do internship cloud data engineer jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for internship cloud data engineer in Spring, TX is $22.62, according to ZipRecruiter salary data. Most workers in this role earn between $18.41 and $25.67 per hour, depending on experience, location, and employer.
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Internship Cloud Data Engineer jobs near you
Infographic showing various Internship Cloud Data Engineer job openings in Spring, TX as of July 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $47,046 per year, or $22.6 per hour.
Data Engineering Internship (Summer 2027)

Data Engineering Internship (Summer 2027)

Castleton Commodities International LLC

Houston, TX

$109K - $131K/yr

Full-time

Posted 7 days ago

Job description

Application Deadline: September 1, 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 Data Science 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 Data Engineering Interns to join our Global Data Science & Technology team in Houston, TX, Stamford, CT, & New York City offices. The Data Engineering Intern will work closely with our Data Science, Data Engineering and Commercial teams to build and optimize data pipelines that power our analytics, forecasting, and investment decision-making processes. This is a hands-on technical internship ideal for someone who enjoys solving real-world data challenges, especially around ingesting, scraping, and managing large datasets across the commodity markets.

Responsibilities:

  • Develop and maintain robust data ingestion pipelines from various internal and external sources, including APIs, FTP endpoints, and cloud data providers.
  • Develop data ingestion and transformation pipelines using Python and SQL, publishing Snowflake for downstream use in analytics and forecasting tools.
  • Work on data architecture and data management projects for both new and existing data sources.
  • Design and implement ETL processes to clean, normalize, and store structured and semi-structured data in Snowflake, our core relational data warehouse.
  • Analyze data pipeline performance and implement optimizations to improve efficiency and reliability.
  • Conduct data quality checks and build validation logic to identify anomalies and ensure data integrity for use by commercial trading and analytics teams.
  • Automate data workflows using Python, SQL, and orchestration tools (e.g., Airflow or similar).
  • Assist in transitioning legacy datasets and codebases into scalable, cloud-native workflows aligned with our modern data architecture.
  • Document data sources, pipeline logic, and data models to ensure maintainability and knowledge transfer.

Qualifications:

  • Currently pursuing a Bachelor's or higher degree in Computer Science, Engineering, Management Information Systems, or related technical field.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Strong programming experience in Python (preferred libraries: pandas, NumPy, SQL alchemy, etc.).
  • Strong understanding of SQL and experience querying relational databases (Snowflake a plus).
  • Exposure to or interest in cloud platforms (e.g., AWS, Azure), particularly with cloud data storage and compute.
  • Familiarity with web scraping frameworks and handling large-scale structured and unstructured data sources.

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