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Remote Marine Data Science Jobs in Juneau, WI (NOW HIRING)

Evans Transportation Services LLC

Data Engineer

Delafield, WI · On-site +1

$109K - $131K/yr

Collaborate with analysts, data scientists, and software engineers to understand requirements and ... WORK ENVIRONMENT Work is performed in an office environment, with hybrid/remote flexibility ...

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All JobsMarine Data Science JobsRemote Marine Data Science JobsRemote Marine Data Science Jobs in Juneau, WI

Remote Marine Data Science information

See Juneau, WI salary details

$40.2K

$131.7K

$210.8K

How much do remote marine data science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote marine data science in Juneau, WI is $131,655.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $145,900.00 per year, depending on experience, location, and employer.

What is a remote marine data scientist?

A Remote Marine Data Scientist is a professional who analyzes data related to the marine environment, such as oceanographic, biological, or ecological information, while working from a remote location rather than onsite. They use statistical methods, machine learning, and programming skills to interpret large datasets from sources like satellites, sensors, and research vessels. Their work helps inform marine conservation, policy, and scientific understanding of oceans and marine life. Remote positions allow these scientists to collaborate with global teams and access data from anywhere with an internet connection.

What are the key skills and qualifications needed to thrive as a remote marine data scientist?

To excel as a Remote Marine Data Scientist, you need a strong background in marine science, statistics, and data analysis, typically supported by a relevant degree such as oceanography, marine biology, or data science. Familiarity with programming languages like Python or R, GIS software, and remote sensing tools is commonly required, along with experience using cloud-based collaboration platforms. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex datasets and share insights with interdisciplinary teams. These competencies ensure accurate analysis of marine environments, support informed decision-making, and enable efficient remote collaboration.

What are some common challenges faced by remote marine data scientists, and how can they be addressed?

Remote marine data scientists often encounter challenges such as limited access to real-time field data, large and complex datasets, and the need for effective collaboration with interdisciplinary teams. To overcome these, it's essential to leverage robust cloud computing tools for data storage and analysis, establish clear communication channels with field researchers, and stay updated with the latest marine data platforms and software. Building strong collaborative relationships and regularly participating in virtual team meetings can also help bridge the gap between remote and on-site team members.

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

AspectRemote Marine Data ScienceRemote Marine Data Analyst
Required CredentialsAdvanced degrees in data science, marine science, or related fields; programming skills in Python/R; statistical knowledgeBachelor's or master's in data analysis, marine science, or related fields; proficiency in Excel, SQL, and basic statistical tools
Work EnvironmentResearch teams, data modeling, algorithm development, often in collaborative or remote settingsData interpretation, reporting, visualization, often in remote or office environments
Employer & Industry UsageResearch institutions, environmental agencies, marine technology companiesMarine research firms, environmental consultancies, government agencies

Remote Marine Data Science involves developing models and algorithms to analyze complex marine data, requiring advanced technical skills. In contrast, Remote Marine Data Analysts focus on interpreting data, creating reports, and visualizations. Both roles are vital in marine industries but differ in technical depth and responsibilities.

Remote Marine Data Science jobs near you
Infographic showing various Remote Marine Data Science job openings in Juneau, WI as of June 2026, with employment types broken down into 2% Internship, 74% Full Time, 7% Part Time, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $131,655 per year, or $63.3 per hour.

Data Engineer

Delafield, WI • On-site, Remote

Evans Transportation Services LLC
Transportation and Warehousing • 51 - 200 employees
Learn more about Evans Transportation Services LLCexternal

$109K - $131K/yr

Full-time

Posted 3 days ago

New

Job description

Description

THE POSITION

Under the direction of the Manager, Data & Analytics, this role will be the Data Engineer responsible for designing, building, and maintaining the data infrastructure that powers analytics, reporting, and data-driven decision-making across Evans Transportation. This position owns the pipelines that move and transform data from source systems into clean, reliable, well-modeled datasets that analysts, data scientists, and business teams depend on.


Requirements

ROLES AND RESPONSIBILITIES

  • Design, build, and maintain scalable batch and streaming data pipelines (ETL/ELT).
  • Model and structure data in warehouses and lakehouses to support reporting and analytics use cases.
  • Integrate data from a wide range of sources: databases, APIs, third-party platforms, and event streams.
  • Ensure data quality, reliability, and observability through testing, monitoring, and alerting.
  • Optimize pipeline and query performance and manage cost and scalability of data systems.
  • Implement and enforce data governance, security, and access-control best practices.
  • Collaborate with analysts, data scientists, and software engineers to understand requirements and deliver usable data products.
  • Document data flows, schemas, and processes to keep the platform maintainable.
  • Perform all other duties as assigned.

An individual in this position must be able to successfully perform the essential duties and responsibilities listed above. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of this position.

The above list reflects the general details necessary to describe the principle and essential functions of the position and shall not be construed as the only duties that may be assigned for the position.


MINIMUM QUALIFICATIONS AND REQUIREMENTS

Experience / Training: 3+ years of experience in data engineering or a closely related role. Strong proficiency in SQL and some programming knowledge, preferably .NET and Python. Solid understanding of data modeling, dimensional modeling, warehousing concepts, and distributed data systems. Strong problem-solving skills and attention to data quality and correctness.

Licenses / Certifications: None required

Technology / Equipment: Hands-on experience with a cloud data warehouse and/or lakehouse platform. Experience building pipelines with orchestration tools (e.g., Airflow, Dagster, or dbt for transformations). Familiarity with a major cloud provider, preferably Azure.


PREFERRED QUALIFICATIONS AND REQUIREMENTS

Experience / Training: Exposure to data governance, lineage, or catalog tools. Experience supporting machine learning or analytics teams in production.

Licenses / Certifications: None specified

Technology / Equipment: Infrastructure-as-code and CI/CD experience (Terraform, Docker, Git-based workflows). Azure resource implementation with a working understanding of networking and security fundamentals, including virtual networks, private endpoints, firewall and IP rules, and managed identities. Experience with Microsoft Fabric and OneLake.


PHYSICAL AND MENTAL DEMANDS

While performing the duties of this job, the employee must be able to continuously sit, use a keyboard, calculator, and telephone. The employee is occasionally required to stand, walk, stoop, and/or kneel. The employee must occasionally lift and/or move up to 10 pounds while moving files or small packages. Specific vision abilities required by this job include close vision and the ability to adjust focus. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

The mental and physical requirements described here are representative of those that must be met by an individual to successfully perform the essential functions of this position.


WORK ENVIRONMENT

Work is performed in an office environment, with hybrid/remote flexibility available for the ideal candidate. The noise level in the work environment is usually moderate. The work environment characteristics described here are representative of those an individual encounters while performing the essential functions of this position.

The work environment characteristics described here are representative of those an individual encounters while performing the essential functions of this position.


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