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Remote Gis Data Engineer Jobs in Portland, OR (NOW HIRING)

Lead EPC Substation Project Engineer

Portland, OR · On-site +1

$104K - $133K/yr

This role has remote working capabilities, but candidates should be located in the Pacific ... Assure proper documentation of project technical data. * Ensure and facilitate project team ...

... LI-Remote The Compensation range for this role is 120,000 to 170,000 USD annually and may be ... Use data to identify improvement opportunities * Make informed decisions * Align team goals with ...

Senior Software Engineer

Portland, OR · Remote

$97K - $163K/yr

As our business growth continues we have an established need for data intensive cloud development ... This is a remote role. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Develop and maintain complex ...

Senior Software Engineer

Portland, OR · On-site +1

$140K - $175K/yr

Build scalable data processing pipelines and high-throughput service infrastructure * Design and ... While we will consider remote applicants on a case-by-case basis, local presence is strongly valued ...

... data for direction in prioritization of sales activities. * Provide regular territory updates, pipeline reviews, revenue forecasts, and business insights to sales leadership. This role is a remote ...

Showing results 41-60

Remote Gis Data Engineer information

See Portland, OR salary details

$33.9K

$103.7K

$171.3K

How much do remote gis data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote gis data engineer in Portland, OR is $103,661.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,900.00 and $122,500.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Gis Data Engineer jobs in Portland, OR? The most popular types of Gis Data Engineer jobs in Portland, OR are:
Infographic showing various Remote Gis Data Engineer job openings in Portland, OR as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $103,661 per year, or $49.8 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Beaverton, OR • Remote

$90 - $120/hr

Part-time

Posted 12 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.