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Summer International Data Engineer Jobs in Spring, TX

The Data Scientist works closely with Logistics Supply Chain Engineers, the Logistics Supply Chain ... BDP International - The Employer of Choice Follow BDP International Career Pages Facebook l Twitter ...

... and international operations. At Husch Blackwell we believe that diverse, equitable and inclusive ... Partner with the Data Engineering team to source, integrate, and validate data from across the Firm

... and international operations. At Husch Blackwell we believe that diverse, equitable and inclusive ... Partner with the Data Engineering team to source, integrate, and validate data from across the Firm

2027 Summer Associate (Intern)

Houston, TX

$14.25 - $19/hr

Projects range from subject matter research to data collection, to the preparation of economic ... Experience with statistical, econometric and programming tools such as Excel, Stata, R, Python ...

2027 Summer Associate (Intern)

Houston, TX · On-site

$14.25 - $19/hr

Projects range from subject matter research to data collection, to the preparation of economic ... Experience with statistical, econometric and programming tools such as Excel, Stata, R, Python ...

Data Scientist - Wireline

Houston, TX · On-site

$120 - $160/hr

Automate data workflows and analysis using modern programming tools * Modeling & Technical ... This role may require domestic and potentially international travel of up to: 10-25% #LI-KP1 #J ...

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Showing results 21-40

Summer International Data Engineer information

See Spring, TX salary details

$53.8K

$108.7K

$149.1K

How much do summer international data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for summer international data engineer in Spring, TX is $108,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $124,600.00 per year, depending on experience, location, and employer.

What is the difference between Summer International Data Engineer vs Summer Data Engineer?

AspectSummer International Data EngineerSummer Data Engineer
CredentialsBachelor's in CS, Data Science, or related field; some roles prefer certifications in cloud platformsBachelor's in CS, Data Science, or related field; certifications in cloud or data tools are common
Work EnvironmentGlobal teams, multinational companies, often remote or on-site abroadDomestic or international companies, often on-site or remote within the same country
Employer & Industry UsageTech firms, finance, consulting with international projectsTech firms, startups, finance, and consulting firms

The main difference is that Summer International Data Engineers typically work on global projects with international teams and may require knowledge of multiple regions, while Summer Data Engineers focus on domestic or regional data projects. Both roles require similar technical skills and certifications, but the international role emphasizes cross-cultural collaboration and global data management.

What are the most commonly searched types of International Data Engineer jobs in Spring, TX? The most popular types of International Data Engineer jobs in Spring, TX are:
What are popular job titles related to Summer International Data Engineer jobs in Spring, TX? For Summer International Data Engineer jobs in Spring, TX, the most frequently searched job titles are:
What cities near Spring, TX are hiring for Summer International Data Engineer jobs? Cities near Spring, TX with the most Summer International Data Engineer job openings:

Data Scientist - Wireline

Weatherford International

Houston, TX • On-site

Full-time

Posted 12 days ago


Weatherford rating

7.3

Company rating: 7.3 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

49th of 86 rated oil and gas companies


Job description


Job Purpose
We are seeking a highly motivated Data Scientist to join our Sciences team. In this role, you will apply advanced data analytics, machine learning, and scientific modeling to solve complex problems related to downhole tools, signal processing, and formation evaluation.
The ideal candidate combines strong fundamentals in applied mathematics and data science with the ability to work in a cross-functional engineering environment.
Roles & Responsibilities
  • Design and develop data pipelines for cleaning, validation, and analysis of large datasets
  • Analyze structured and unstructured data to identify trends, patterns, and anomalies
  • Develop and deploy machine learning models and statistical algorithms
  • Automate data workflows and analysis using modern programming tools
  • Modeling & Technical Contributions
  • Build predictive and physics-informed models to support tool development and characterization
  • Work with simulation outputs and experimental data to improve system understanding
  • Develop custom tools and frameworks for advanced analytics
  • Collaboration & Delivery
  • Partner with engineers, physicists, and product teams to translate business needs into analytical solutions
  • Communicate insights and results effectively to technical and non-technical stakeholders
  • Support project planning, technical documentation, and knowledge sharing

Experience & Education
REQUIRED
  • Master's degree in applied mathematics, Data Science or Physics
  • 5+ years' experience Data Science
  • Strong analytical and problem-solving skills
  • Excellent communication and presentation abilities
  • Proficiency in managing and interpreting large datasets
  • Experience with machine learning techniques
  • Experience with statistical and data mining techniques

PREFERRED
  • Experience using C, C++, Java, JavaScript, Python, R, SQL
  • Expertise in areas such as formation evaluation, production logging and well integrity.
  • 5+ years' experience in the Oil and Gas industry
  • Knowledge of tool physics and tool characterization
  • Ph.D. in applied mathematics, Data Science or Physics

Knowledge, Skills & Abilities
REQUIRED
  • Excellent problem-solving, analytical, and decision-making skills, with the ability to think critically and develop innovative solutions.
  • Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders
  • Knowledge of industry standards, regulations, and best practices related to health, safety, and environmental compliance.
  • Self-starter, Curious, ability to research independently and integrate knowledge from various sources into working solutions.

PREFERRED
  • Active participation in technical societies, forums and open-source communities is a plus.
  • Published technical papers, presented in industry conferences.

#LI-KP1

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