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Remote Data Engineer Jobs in Green Bay, WI (NOW HIRING)

Engineering Buyer

Green Bay, WI · Remote

$70K - $80K/yr

This is a full-time, exempt position with flexibility for onsite in De Pere, WI, hybrid, or remote ... data integrity * Exhibit strong communication, organization, and follow-through skills with the ...

Engineering Buyer

Green Bay, WI · On-site +1

$70K - $80K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This is a full-time, exempt position with flexibility for onsite in De Pere, WI, hybrid, or remote ... data integrity * Exhibit strong communication, organization, and follow-through skills with the ...

Engineering Buyer

Green Bay, WI · On-site +1

$70K - $80K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This is a full-time, exempt position with flexibility for onsite in De Pere, WI, hybrid, or remote ... data integrity * Exhibit strong communication, organization, and follow-through skills with the ...

... engineering to ensure connectivity, sensors, and data architecture are designed into products at ... Remote How Does FTI Give YOU the Chance to Thrive? If you're energized by new challenges, FTI ...

Modern Workplace Engineer

Green Bay, WI · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Modern Workplace Engineer Welcome to a better way, an authentic way. Welcome to Nature's Way. We believe that nature is the best way to holistic health, and it should be available to everyone. When ...

Modern Workplace Engineer

Green Bay, WI · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Modern Workplace Engineer Welcome to a better way, an authentic way. Welcome to Nature's Way. We believe that nature is the best way to holistic health, and it should be available to everyone. When ...

SQL/ETL Developer I - Encounter

Menasha, WI · On-site +1

$52.25 - $68.25/hr

The ETL Developer I is part of a team dedicated to supporting Network Health's core claims processing system, related data integrations, vendor extracts and reporting. This individual will perform ...

SQL/ETL Developer I - Encounter

Menasha, WI · On-site +1

$52.25 - $68.25/hr

The ETL Developer I is part of a team dedicated to supporting Network Health's core claims processing system, related data integrations, vendor extracts and reporting. This individual will perform ...

Showing results 21-40

Remote Data Engineer information

See Green Bay, WI salary details

$43.3K

$126.2K

$172.8K

How much do remote data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote data engineer in Green Bay, WI is $126,249.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,400.00 and $133,800.00 per year, depending on experience, location, and employer.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What are the key skills and qualifications needed to thrive as a remote data engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.
What are popular job titles related to Remote Data Engineer jobs in Green Bay, WI? For Remote Data Engineer jobs in Green Bay, WI, the most frequently searched job titles are:
What cities near Green Bay, WI are hiring for Remote Data Engineer jobs? Cities near Green Bay, WI with the most Remote Data Engineer job openings:
Infographic showing various Remote Data Engineer job openings in Green Bay, WI as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $126,249 per year, or $60.7 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Green Bay, WI • Remote

$90 - $120/hr

Part-time

Posted 16 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.