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Remote Mastercard Software Engineer Jobs in Fargo, ND

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 ...

While this is a full remote position, there is preference for candidates located in the Northern ... Proficient software experience should include Easy Power, SKM Powertools, ETAP, Aspen, and EMTP.

Senior System Protection Engineer

Fargo, ND · On-site +1

$141K - $184K/yr

Expertise in system modeling and fault analysis software (ASPEN, CAPE, ETAP, EasyPower). * Strong ... We strive to meet our team members where they are and as such, offer fully remote positions . If ...

... engineering deliverables. This position offers strong opportunities for growth, especially for ... Ulteig provides hybrid office/remote work options to support flexibility and worklife balance. What ...

The work model for the role is: remote, in the United States, supporting the Motion Drive Products ... Collaborate with engineering, field service, sales, and product teams to resolve complex technical ...

This is a remote position for candidates based in the United States. This role is contributing to ... Bachelor's degree in Engineering, Business Administration, or related field (or equivalent ...

Remote Mastercard Software Engineer information

See Fargo, ND salary details

$62.3K

$144.8K

$201.8K

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

As of Aug 25, 2026, the average yearly pay for remote mastercard software engineer in Fargo, ND is $144,842.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,800.00 and $169,900.00 per year, depending on experience, location, and employer.

What does a remote Mastercard software engineer do?

A Remote Mastercard Software Engineer designs, develops, and maintains software solutions for Mastercard from a remote location. They typically work on applications related to payment processing, security, and digital transactions, ensuring reliability and compliance with industry standards. Their responsibilities include coding, testing, debugging, and collaborating with global teams to deliver scalable and secure products. Remote engineers use communication tools to stay connected with colleagues and participate in agile development cycles. This role may also involve troubleshooting technical issues and implementing new features based on business requirements.

What are the key skills and qualifications needed to thrive as a remote Mastercard software engineer?

To thrive as a Remote Mastercard Software Engineer, you need strong programming skills (such as Java, C++, or Python), a solid understanding of software development lifecycles, and a relevant degree in computer science or a related field. Familiarity with Mastercard's payment processing platforms, cloud services (like AWS or Azure), and industry certifications (such as AWS Certified Developer or Secure Software Practitioner) are commonly required. Excellent communication, problem-solving abilities, and self-motivation are crucial soft skills for effective remote collaboration and innovation. These skills and qualifications ensure secure, reliable, and scalable payment solutions while enabling seamless teamwork across distributed teams.

How does collaboration work for a remote Mastercard software engineer, and what tools are commonly used to stay connected with the team?

As a Remote Mastercard Software Engineer, you’ll collaborate closely with cross-functional teams including product managers, QA specialists, and other engineers through virtual platforms. Most teams rely on tools like Slack or Microsoft Teams for instant communication, Jira or Trello for task management, and GitHub or Bitbucket for code collaboration. Regular video meetings, code reviews, and pair programming sessions ensure alignment and foster teamwork despite the physical distance. Expect a structured yet flexible work environment that values both independent productivity and strong team connectivity.

What is the difference between Remote Mastercard Software Engineer vs Remote Visa Software Engineer?

AspectRemote Mastercard Software EngineerRemote Visa Software Engineer
Required CredentialsBachelor's in Computer Science, relevant coding skills, industry certificationsBachelor's in Computer Science, relevant coding skills, industry certifications
Work EnvironmentRemote, collaborative teams within financial servicesRemote, collaborative teams within financial services
Employer & Industry UsageMajor payment network, financial technologyMajor payment network, financial technology
Common Search & ComparisonYesYes

The Remote Mastercard Software Engineer and Remote Visa Software Engineer roles share similar credentials, work environments, and industry usage, focusing on payment processing and financial technology. The main difference lies in the specific payment network they support—Mastercard versus Visa—each with unique systems and protocols. Both roles are ideal for software engineers seeking remote opportunities in the financial services sector, with comparable skills and responsibilities.

Infographic showing various Remote Mastercard Software Engineer job openings in Fargo, ND as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $144,842 per year, or $69.6 per hour.

Bioinformatics Software Engineer

Fargo, ND • Remote

micro1 AI
Software Development • 11 - 50 employees

$80 - $110/hr

Part-time

Posted 22 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.