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Entry Level Marine Data Science Jobs in Texas (NOW HIRING)

Synergie Systems

Entry Level Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Job Title: Entry Level Data Engineer Location: Dallas, TX Job Type: Only W2 We are looking for an ... Collaborate with Data Analysts, Data Scientists, Software Engineers, and other stakeholders.

SynergisticIT

Junior/Entry Level Coder - Remote

Arlington, TX · On-site

$60K - $78K/yr

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python ... We want data science/machine learning/data analyst and Java full stack candidates. Required skills ...

Four Hands

Entry level Data Engineer - New Grad

Austin, TX · Hybrid

$113K - $136K/yr

As an Entry Level Data Engineer, you'll help build and support the data pipelines, integrations ... Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics ...

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Entry Level Marine Data Science information

What is an entry level marine data scientist?

An Entry Level Marine Data Scientist is a professional who uses data analysis, modeling, and visualization techniques to study oceanographic data and solve marine-related problems. They typically work with large datasets collected from the ocean, such as temperature, salinity, currents, and marine life patterns. Their work supports scientific research, environmental monitoring, and policy development to better understand and protect marine ecosystems. Entry-level positions usually require a background in marine science, statistics, or computer science, and proficiency in programming languages like Python or R.

What are some typical challenges faced by entry level marine data scientists when working with oceanographic datasets?

Entry-level marine data scientists often encounter challenges such as dealing with large and complex datasets collected from various marine sensors and remote sensing platforms. Data can be noisy, incomplete, or require significant preprocessing before analysis. Additionally, understanding the context of marine environments and collaborating effectively with oceanographers and engineers is essential to interpreting results accurately. Overcoming these hurdles provides valuable experience in data cleaning, interdisciplinary communication, and technical problem-solving.

What are the key skills and qualifications needed to thrive as an entry level marine data scientist, and why are they important?

To thrive as an Entry Level Marine Data Scientist, you need a solid background in marine science, statistics, and data analysis, often supported by a relevant degree such as oceanography, marine biology, or data science. Competence with data analysis and visualization tools like Python, R, MATLAB, and GIS systems is typically required. Strong analytical thinking, problem-solving abilities, and effective communication help you interpret complex datasets and collaborate with multidisciplinary teams. These skills and qualities are crucial for extracting meaningful insights from marine data to support research, conservation, and policy decisions.

What is the difference between Entry Level Marine Data Science vs Entry Level Marine Data Analyst?

AspectEntry Level Marine Data ScienceEntry Level Marine Data Analyst
Required CredentialsBachelor's in Marine Science, Data Science, or related field; basic programming skillsBachelor's in Marine Science, Environmental Science, or related field; proficiency in data analysis tools
Work EnvironmentResearch vessels, marine research centers, environmental agenciesMarine research facilities, government agencies, environmental consulting firms
Employer & Industry UsageMarine research institutions, environmental organizations, government agenciesMarine research organizations, environmental consulting firms, government departments

Entry Level Marine Data Science focuses on applying advanced data science techniques, including machine learning and modeling, to marine data. Entry Level Marine Data Analyst primarily involves analyzing marine datasets using statistical tools. Both roles require similar educational backgrounds but differ in technical complexity and focus areas.

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:

What are popular job titles related to Entry Level Marine Data Science jobs in Texas?

For Entry Level Marine Data Science jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Entry Level Marine Data Science jobs in Texas look for?

The top searched job categories for Entry Level Marine Data Science jobs in Texas are:

What cities in Texas are hiring for Entry Level Marine Data Science jobs?

Cities in Texas with the most Entry Level Marine Data Science job openings:

Entry Level Marine Data Science jobs near you
Infographic showing various Entry Level Marine Data Science job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Entry Level Data Engineer

Synergie Systems

Dallas, TX • On-site

$113K - $136K/yr

Other

Posted 4 days ago

Job description

Job Title: Entry Level Data Engineer

Location: Dallas, TX

Job Type: Only W2

Job Description:

We are looking for an enthusiastic and detail-oriented Entry-Level Data Engineer to join our data team. You will work with experienced data engineers and analysts to build, maintain, and improve data pipelines and data infrastructure.

This is a great opportunity for someone who has a strong foundation in SQL and Python and wants to develop their career in data engineering.

Responsibilities:

Develop and maintain ETL/ELT data pipelines.

Extract, transform, and load data from databases, APIs, files, and other sources.

Write and optimize SQL queries for data processing and analysis.

Use Python to automate data-processing and engineering tasks.

Perform data validation, quality checks, and troubleshooting.

Work with relational and cloud databases.

Assist in building and maintaining data warehouses and data lakes.

Monitor data pipelines and investigate data-quality or pipeline issues.

Collaborate with Data Analysts, Data Scientists, Software Engineers, and other stakeholders.

Document data pipelines, processes, and technical solutions.

Follow best practices for data security, reliability, and scalability.

Required Qualifications:

Bachelor’s degree in computer science, Information Technology, Engineering, Data Science, or a related field, or equivalent practical experience.

Strong knowledge of SQL.

Basic to intermediate Python programming skills.

Understanding of relational databases and database concepts.

Basic understanding of ETL/ELT concepts and data pipelines.

Familiarity with Git/version control.

Good problem-solving and analytical skills.

Strong communication and willingness to learn.

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