2

Remote Software Engineer Spotify Jobs in Green Bay, WI

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

Job Title Senior OTM Developer Location Remote Description : OTM (Oracle Transportation Management ... on-premises logistics software to improve transportation planning, execution, and freight ...

... remote flexibility on other days. The ideal candidate will have experience using CAD software to ... Coordinate with project managers, engineers, utility representatives, construction teams, and ...

Water/Wastewater Project Manager

Green Bay, WI · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proficiency with AutoCAD and related engineering software * Ability to independently evaluate ... Remote/flexible hours * Generous personal time off and holiday programs * Health, dental, vision ...

next page

Showing results 1-20

Remote Software Engineer Spotify information

See Green Bay, WI salary details

$61.8K

$143.5K

$199.9K

How much do remote software engineer spotify jobs pay per year?

As of Aug 13, 2026, the average yearly pay for remote software engineer spotify in Green Bay, WI is $143,490.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,700.00 and $168,300.00 per year, depending on experience, location, and employer.

How does a remote software engineer at Spotify typically collaborate with distributed teams?

As a remote software engineer at Spotify, you will regularly collaborate with team members across different time zones using tools like Slack, Zoom, and collaborative coding platforms such as GitHub. Agile ceremonies, such as daily standups, sprint planning, and code reviews, are conducted virtually to maintain alignment. Clear communication and proactive documentation are vital, and you'll often pair program or participate in asynchronous discussions to resolve issues and share ideas. Spotify emphasizes a strong team culture, so virtual social events and regular check-ins are common to foster connection and support.

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

To excel as a Remote Software Engineer at Spotify, you need strong programming skills (commonly in languages like Java, Python, or JavaScript), experience with scalable system design, and a relevant degree or equivalent experience. Familiarity with cloud platforms (such as AWS or Google Cloud), CI/CD tools, and version control systems like Git is typically required. Outstanding communication, self-motivation, and collaboration skills are essential for thriving in a remote, cross-functional team environment. These abilities ensure you can build reliable, innovative software solutions while effectively contributing to Spotify’s distributed global teams.

What does a remote software engineer at Spotify do?

A Remote Software Engineer at Spotify is responsible for designing, building, and maintaining software applications and systems that support Spotify's music streaming platform. They collaborate with cross-functional teams to develop new features, improve performance, and ensure a seamless user experience for millions of listeners. Working remotely, they leverage modern programming languages, tools, and agile methodologies, while staying connected with their team through digital communication channels. The role requires strong technical skills, effective communication, and the ability to work independently from any location.

What is the difference between Remote Software Engineer Spotify vs Remote Data Engineer Spotify?

AspectRemote Software Engineer SpotifyRemote Data Engineer Spotify
Required CredentialsBachelor's in CS or related field, programming skillsBachelor's in CS, Data Science, or related field, strong SQL and Python skills
Work EnvironmentCollaborates with software development teams, Agile environmentWorks with data pipelines, analytics teams, cloud platforms
Employer & Industry UsageCommonly employed in tech companies, including SpotifyUsed in data-driven roles within similar tech companies
Search & Comparison IntentFocuses on software development tasks at SpotifyFocuses on data infrastructure and analytics at Spotify

While both roles require technical skills and are employed within Spotify, a Remote Software Engineer primarily develops applications and features, whereas a Remote Data Engineer focuses on building data pipelines and managing data infrastructure. The choice depends on whether you prefer software development or data management within Spotify's environment.

Does Spotify hire remotely?

Spotify offers remote job opportunities, including for software engineering roles, depending on the position and team needs. Many remote positions require strong communication skills and proficiency with collaboration tools like Slack and Zoom. Candidates should review specific job listings for remote eligibility and requirements.
What are the most commonly searched types of Software Engineer Spotify jobs in Green Bay, WI? The most popular types of Software Engineer Spotify jobs in Green Bay, WI are:
What cities near Green Bay, WI are hiring for Remote Software Engineer Spotify jobs? Cities near Green Bay, WI with the most Remote Software Engineer Spotify job openings:
Infographic showing various Remote Software Engineer Spotify job openings in Green Bay, WI as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $143,490 per year, or $69 per hour.

Bioinformatics Software Engineer

micro1 AI

Green Bay, WI • Remote

$80 - $110/hr

Part-time

Posted 10 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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 and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.