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Develop backend services, APIs, cloud pipelines, and quality assurance systems for geospatial and remote-sensing data. Support federal and water-reservoir analysis programs for CGS, a nonprofit geospatial technology organization.
संयुक्त राज्य
एरिज़ोना
मैसाचुसेट्स
वॉशिंगटन$80,000 – $96,000 / वर्ष
रिमोटअनुबंधमध्य स्तरवरिष्ठआवश्यक भाषा: अंग्रेज़ीGISविवरण
- Develop and maintain production backend services, APIs, data-access layers, workflow services, and reusable software components
- Design and optimize data models and storage systems for raster and vector geospatial data
- Build and operate scalable ETL and ELT pipelines for ingesting, processing, and transforming geospatial and remote-sensing data
- Connect cloud storage, compute, and orchestration services to geospatial workflows
- Produce maintainable, well-tested code while contributing to code reviews and architecture decisions
- Support CI/CD pipelines spanning infrastructure, backend applications, data workflows, and analytical services
- Create automated tests, validation processes, and data-quality checks
- Verify data completeness, consistency, schema compliance, spatial integrity, metadata, and analytical accuracy
- Perform accuracy assessments, error analysis, uncertainty analysis, spatial cross-validation, bias checks, and related quantitative evaluations
- Develop and maintain benchmark and reference datasets for automated validation and regression testing
- Record validation methods, test outcomes, and acceptance decisions
- Detect data gaps, methodological weaknesses, and limitations that affect interpretation or delivery
- Define QA and validation standards, templates, checklists, review gates, and documentation practices
- Improve reproducibility by versioning data, code, methods, assumptions, and outputs
- Investigate recurring defects and process failures, then implement changes that reduce risk and rework
- Present validation findings, uncertainty, limitations, and recommendations to technical and non-technical audiences
- Contribute technical and QA content to reports, client deliverables, proposals, presentations, and publications
- Coordinate development and quality assurance work with project managers and technical leads
- Assist clients and partners with questions about system reliability, data quality, and appropriate use
आवश्यकताएँ
- Bachelor’s degree or equivalent experience in computer science, software engineering, information systems, engineering, geography, environmental science, or a related technical discipline
- At least three years of professional backend software development experience, including substantial work with geospatial data
- Experience using geospatial APIs and interoperability standards such as pygeoapi
- Knowledge of geospatial architecture involving PostGIS, GDAL, raster and vector data, and OGC standards
- Proficiency in Python for backend development, API implementation, and data pipeline development
- Working knowledge of geospatial data standards and system architecture
- Experience evaluating outputs from remote sensing, machine learning, deep learning, image classification, segmentation, or predictive modeling
- Experience with cloud platforms and production operations, including deployment, monitoring, and CI/CD on AWS, Google Cloud, or Azure
- Familiarity with continuous integration and delivery practices
- Experience with Git, GitHub, or comparable version-control workflows
- Experience planning and conducting accuracy assessments, validation studies, sampling strategies, or quantitative quality evaluations
- Strong understanding of spatial statistics, uncertainty, bias, error metrics, and analytical-result interpretation
- Strong documentation ability, including clear and traceable records of methods, findings, and decisions
- Exceptional attention to detail and the ability to conduct independent, objective technical reviews
- Excellent written and verbal communication skills, including the ability to explain technical limitations and risks to varied audiences
- U.S. citizenship or legal authorization to work in the United States without requiring future sponsorship
- Helpful: familiarity with ArcGIS Pro and ArcGIS Enterprise
- Helpful: experience with wetland science, field delineation, hydrology, geomorphology, ecology, or environmental regulatory applications
- Helpful: experience designing or managing field data collection, expert review, or imagery interpretation protocols
- Helpful: experience with cloud-based data pipelines, automated testing, data contracts, or production QA systems
- Helpful: familiarity with federal scientific standards, data-quality objectives, reproducibility requirements, or formal verification and validation practices
- Helpful: experience writing peer-reviewed publications, validation reports, technical methods, or audit-ready documentation
- Helpful: experience supporting government, nonprofit, consulting, or other mission-driven technical projects
लाभ
- Employer retirement contributions are matched at three times the employee contribution, up to 15%
- The Institute covers 90–95% of medical plan costs
- The Institute pays the full cost of dental insurance
- Vision insurance is provided
- A health reimbursement account reimburses 100% of the health care deductible
- Short-term disability coverage is included
- Long-term disability coverage is included
- Paid parental leave is available
- Voluntary accident insurance is available
- Health care flexible spending account
- Dependent care flexible spending account
- Paid holidays plus vacation, personal, sick, bereavement, and jury duty leave
- Annual office closure from December 24 through January 1
- Flexible scheduling
- Option to work a compressed four-day week
- Tuition and staff development reimbursement
- Pet insurance
- Employee Assistance Program
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