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Lincoln Institute of Land Policy
Lincoln Institute of Land Policy
51 – 200 Xodimlar
H1B vizasi homiysiKo‘chmas mulkNotijoratTa’lim
Lincoln Institute of Land Policy — yerdan qanday foydalanilishi, uning qanday baholanishi, soliqqa tortilishi va muhofaza qilinishiga e’tibor qaratadigan notijorat tadqiqot va ta’lim tashkiloti. Uning faoliyati yer va suv resurslari, mol-mulk solig‘i va davlat moliyasi, shaharsozlik, uy-joy siyosati hamda yerlarni muhofaza qilish yo‘nalishlarini qamrab oladi. Institut tadqiqotlar, ma’lumotlar vositalari, nashrlar, kurslar va uchrashuvlar orqali dalillarga asoslangan yondashuvni butun dunyoda yer bilan bog‘liq qarorlar ustida ishlayotgan siyosatchilar, amaliyotchilar va jamoalarning amaliy ehtiyojlari bilan bog‘laydi.
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Kompaniyadagi ish o‘rinlari

Backend Geospatial Engineer II - Remote Contract (United States)

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.

USAmerika Qo‘shma ShtatlariAZArizonaMAMassachusetsWAVashington
80 000 $ – 96 000 $ / yil
MasofaviyShartnomaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaGIS
AWSAzureBulutETLGoogle Cloud PlatformMasofadan zondlashPostGISPython

Tavsif

  • 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

Talablar

  • 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

Imtiyozlar

  • 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

O‘xshash ish o‘rinlari

Ambush

Senior Machine Learning and AI Engineer

Ambush
51 – 200 Xodimlar
Malakali ishchi vizasi homiysiKonsaltingLogistikaSog‘liqni saqlash
BRBraziliyaMasofaviyTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisiSun’iy intellekt muhandisi
AWSAzureBulutDockerGoogle Cloud PlatformKubernetesPythonReactSQLTerraform

Build production-grade generative AI and agent workflows for Ambush’s financial services clients. Develop Python and FastAPI services, SQL data workflows, retrieval-augmented generation, and cloud-based AI systems.

Ochish
GFN

Senior Software Engineer, Machine Learning

GFN
201 – 500 Xodimlar
Elektron tijoratFintexSaaS
DEGermaniyaMasofaviyTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: nemischaTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisi
AWSAzureDjangoDockerKubernetesPythonRubyRuby on RailsTerraform

Build backend infrastructure and AI-enabled learning products for GFN, a German education provider. Develop scalable educational platforms with a focus on robust software architecture and practical machine learning.

Ochish