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Temporary Marine Data Science Jobs in Texas (NOW HIRING)

Data Analyst IV

Austin, TX · On-site

$61 - $99/hr

Up to 15% Regular/Temporary: Regular Full Time/Part Time: Full time FLSA Exempt/Non-Exempt: Exempt ... data science, computer science, information systems, finance, or a related field. Two years ...

Work a temporary, alternative schedule or shift as requested by supervisor * Act in accordance with ... Associate's degree in Applied Science in Maritime Technology, Cargo Handling/Logistics, or related ...

Showing results 21-40

Temporary Marine Data Science information

What is the difference between Temporary Marine Data Science vs Marine Data Analyst?

AspectTemporary Marine Data ScienceMarine Data Analyst
Required CredentialsDegree in Marine Science, Data Science, or related field; programming skillsDegree in Marine Science, Data Analysis, or related field; basic programming skills
Work EnvironmentResearch vessels, marine research centers, data labsMarine research facilities, environmental agencies, data offices
Employer & Industry UsageResearch institutions, environmental consultancies, government agenciesMarine research organizations, environmental agencies, private firms
Common Search & ComparisonTemporary Marine Data ScienceMarine Data Analyst

Temporary Marine Data Science roles focus on advanced data modeling, machine learning, and complex analysis in marine environments, often requiring programming and statistical skills. Marine Data Analysts typically handle data collection, cleaning, and basic analysis. Both roles are vital in marine research but differ in complexity and scope.

What are the most commonly searched types of Marine Data Science jobs in Texas?

The most popular types of Marine Data Science jobs in Texas are:

Infographic showing various Temporary Marine Data Science job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Analyst, Senior Data Engineering

Enterprise Products

Houston, TX • On-site

$82K - $103K/yr

Full-time

Re-posted 5 days ago


Enterprise Products rating

9.2

Company rating: 9.2 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

1st of 53 rated energy and utility


Job description

Description
Enterprise Products Partners L.P. is one of the largest publicly traded partnerships and a leading North American provider of midstream energy services to producers and consumers of natural gas, NGLs, crude oil, refined products and petrochemicals. Our services include: natural gas gathering, treating, processing, transportation and storage; NGL transportation, fractionation, storage and import and export terminals; crude oil gathering, transportation, storage and terminals; petrochemical and refined products transportation, storage and terminals; and a marine transportation business that operates primarily on the United States inland and Intracoastal Waterway systems. The partnership's assets include approximately 50,000 miles of pipelines; 260 million barrels of storage capacity for NGLs, crude oil, refined products and petrochemicals; and 14 billion cubic feet of natural gas storage capacity.
We are currently seeking an experienced Python Software Engineer to join the Big Data and Advanced Analytics department. The Python Software Engineer will work closely with Data Engineers and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics and machine learning.
  • Work directly with subject matter experts to develop high quality, reliable, scalable, software products.
  • Design and implement frameworks and tools to streamline the machine learning process.
  • Implement data manipulation and transformation logic to support various use cases.
  • Leverage software architecture and design patterns to develop fault tolerant microservices.
  • Document code and architectural decisions to support maintainability.
  • Implement processes to ensure coding standards, code quality, documentation, and test coverage.

Qualifications
The successful candidate will meet the following qualifications:
  • 5+ years of programming experience in Python.
  • Expertise in developing and maintaining data pipelines.
  • Experience in software engineering practices such as Design Principles and Patterns, Unit Testing, Refactoring, CI/CD, and version control.
  • Expertise in Object-Oriented Design Principals and Functional Programming Principals.
  • Experience with common Python Data Engineering packages including Pandas, Numpy, Pyarrow, Pytest, Scikit-Learn, and Boto3.
  • Experience in implementing distributed computing systems.
  • Knowledgeable of DevOps Principles.
  • Experience in designing modular, reusable software components.
  • Experience in developing API endpoints and microservices..

What Enterprise Products employees say

Pay

Benefits

Hours and flexibility

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