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Remote Data Migration Project Manager Jobs in Spokane, WA

micro1 AI

Cheminformatics Specialist - Remote

Spokane, WA · Remote

$80 - $110/hr

... discovery project. In this role, you'll apply your expertise to help train next-generation AI ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

Corporate Tools

Senior Data Engineer

Post Falls, ID · On-site +1

$150K/yr

This is a remote position, but if you're near one of our local offices, you're welcome to come ... to manage everything that has to do with data. This role will help get large datasets into the ...

McKinstry

BIM Professional

Spokane, WA · On-site +1

$33.58 - $46.64/hr

Works with engineers, project managers, and other personnel to create project documents ... McKinstry Moves onsite gyms or reimbursement for remote workers. See benefit plan documents for ...

DataAnnotation

FP&A Manager - AI Trainer

Spokane, WA · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... You'll be able to choose which projects you want to work on and when * You work on your own ...

Promoted2

Remote Insurance Agent

Spokane, WA · Remote

$60K - $110K/yr

Manage client pipeline using our CRM system * Follow up to ensure satisfaction and policy retention ... with applicable data protection laws. (US only) 1099=independent contractor, not employee.

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Remote Data Migration Project Manager information

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How much do remote data migration project manager jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for remote data migration project manager in Spokane, WA is $58.15, according to ZipRecruiter salary data. Most workers in this role earn between $50.34 and $68.08 per hour, depending on experience, location, and employer.

What does a remote data migration project manager do?

A Remote Data Migration Project Manager is responsible for planning, coordinating, and overseeing the process of transferring data from one system or platform to another, all while working remotely. They ensure that data is accurately and securely migrated without loss or corruption, managing timelines, budgets, and communication between technical teams and stakeholders. Their role involves risk assessment, troubleshooting issues, and documenting the migration process to ensure business continuity. As remote managers, they utilize virtual collaboration tools to coordinate teams and keep projects on track, regardless of location.

What are the key skills and qualifications needed to thrive as a remote data migration project manager?

To thrive as a Remote Data Migration Project Manager, you need strong project management skills, experience with data migration processes, and a relevant degree such as in IT or computer science. Familiarity with tools like Microsoft Project, data integration platforms, cloud services, and certifications like PMP or Agile are typically required. Exceptional organizational, communication, and problem-solving abilities are vital for coordinating remote teams and managing stakeholders. These competencies ensure seamless data transitions, minimize risks, and deliver successful project outcomes in a distributed work environment.

What are some common challenges faced by a remote data migration project manager, and how can they be effectively managed?

As a Remote Data Migration Project Manager, you may encounter challenges such as coordinating across distributed teams, managing data security during transfers, and ensuring minimal downtime for stakeholders. Effective communication, robust project planning tools, and regular status updates are essential for aligning team members and maintaining project momentum. Additionally, thorough risk assessment and contingency planning help address unexpected technical issues or data integrity concerns, ensuring a smoother migration process.

What is the difference between Remote Data Migration Project Manager vs Remote Data Analyst?

AspectRemote Data Migration Project ManagerRemote Data Analyst
Required CredentialsProject management certifications (e.g., PMP), data management knowledgeData analysis certifications (e.g., CAP, Microsoft Certified Data Analyst)
Work EnvironmentOversees migration projects, coordinates teams, manages timelinesAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageIT, consulting, enterprise organizationsBusiness intelligence, finance, healthcare
Common Search & Comparison IntentUnderstanding project management roles in data migrationUnderstanding data analysis roles in data projects

The Remote Data Migration Project Manager focuses on planning, coordinating, and executing data migration projects, ensuring timely delivery and stakeholder communication. In contrast, the Remote Data Analyst primarily analyzes data to generate insights and support business decisions. While both roles work with data, the project manager emphasizes project oversight, whereas the analyst emphasizes data interpretation.

What are popular job titles related to Remote Data Migration Project Manager jobs in Spokane, WA?

For Remote Data Migration Project Manager jobs in Spokane, WA, the most frequently searched job titles are:

What cities near Spokane, WA are hiring for Remote Data Migration Project Manager jobs?

Cities near Spokane, WA with the most Remote Data Migration Project Manager job openings:

Remote Data Migration Project Manager jobs near you

Cheminformatics Specialist - Remote

micro1 AI

Spokane Valley, WA • Remote

$80 - $110/hr

Part-time

Posted 20 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.

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