1

Live In Environmental Software Engineer Jobs in Spokane, WA

Sr. Controls Engineer

Spokane, WA ยท On-site

$98K - $129K/yr

... software, robotics, and systems integration . You'll work onsite with a robotics team in a Seattle ... Block environments, microcontrollers, PCs, and mobile devices * Bachelor's degree in Computer ...

AI Solutions Engineer

Spokane, WA ยท On-site

$89K - $133K/yr

Deploys models within production environments across cloud-native and edge platforms, applying ... Bachelor's degree in software engineering, AI, Data Science or equivalent experience. * Experience:

Site Reliability Engineer

Post Falls, ID ยท On-site +1

$175K/yr

Creative environment where you can make a difference * No dumb benefits like free dog walking on ... Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience ...

Showing results 41-60

Live In Environmental Software Engineer information

See Spokane, WA salary details

$38.9K

$92.2K

$134.5K

How much do live in environmental software engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for live in environmental software engineer in Spokane, WA is $92,205.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,300.00 and $109,700.00 per year, depending on experience, location, and employer.

What is a live in environmental software engineer?

A Live In Environmental Software Engineer is a professional who develops and maintains software solutions specifically designed to address environmental issues, such as monitoring air and water quality, managing renewable energy systems, or supporting conservation efforts. The 'live in' aspect may refer to engineers who work on-site at facilities or in field locations where environmental monitoring or data collection occurs, allowing them to better understand and respond to real-time environmental challenges. These engineers combine expertise in software development with a passion for sustainability and environmental protection, often collaborating with scientists and environmental specialists to create impactful technology.

How does a live in environmental software engineer typically collaborate with scientists and field teams to develop effective solutions?

As a Live In Environmental Software Engineer, you will often work closely with environmental scientists and field teams to understand real-world data collection challenges and translate them into software solutions. This collaboration usually involves regular meetings, on-site fieldwork, and feedback sessions to ensure the software addresses practical needs such as data accuracy, usability in remote locations, and hardware integration. Strong communication and adaptability are crucial, as you'll need to bridge the gap between technical development and environmental fieldwork. This hands-on, team-oriented approach not only makes the role dynamic but also provides valuable experience in multidisciplinary teamwork.

What are the key skills and qualifications needed to thrive as a live in environmental software engineer, and why are they important?

To thrive as a Live In Environmental Software Engineer, you need a strong background in environmental science combined with software development skills, typically supported by a degree in computer science, environmental engineering, or a related field. Familiarity with programming languages (such as Python or R), GIS software, and data analysis tools, as well as relevant certifications like LEED or environmental software credentials, are highly beneficial. Strong problem-solving abilities, adaptability, and effective communication are essential soft skills for working in diverse environments and collaborating with cross-functional teams. These skills ensure the development of robust, user-friendly solutions that address environmental challenges and support sustainable practices.

What cities near Spokane, WA are hiring for Live In Environmental Software Engineer jobs?

Cities near Spokane, WA with the most Live In Environmental Software Engineer job openings:

Bioinformatics Software Engineer

micro1 AI

Spokane Valley, WA โ€ข Remote

$80 - $110/hr

Part-time

This job post hasย expired today.ย Applications are no longer accepted.


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 customerโ€™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 โ€” 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, Schrรถdinger, 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.