Backend Geospatial Engineer II

🔥 4 minutes ago

🌵 Arizona, District of Columbia, +2 more states – Remote

🌵 Arizona – Remote 🏛️ District of Columbia – Remote 🍂 Massachusetts – Remote ☕ Washington – Remote

💵 $80k - $96k / year

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🗺️ GIS

🦅 H1B Visa Sponsor

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Lincoln Institute of Land Policy

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1974

🤝 Non-profit

📚 Education

🏠 Real Estate

Non-profit • Education • Real Estate

Lincoln Institute of Land Policy is a nonprofit research and education organization that seeks to improve quality of life through the effective use, taxation, and stewardship of land. It produces research, data tools, publications, courses, and convenings on land and water, fiscal and property tax systems, land conservation, urban planning, and housing policy, and works with policymakers, practitioners, and communities worldwide to inform land-related decision-making.

📋 Description

• Build and maintain production-quality backend services, APIs, data-access layers, workflow services, and reusable software components • Develop and optimize data models and storage solutions for raster and vector geospatial data • Build and maintain ETL/ELT pipelines that ingest, process, and transform geospatial and remote sensing data at scale • Integrate cloud services for data storage, compute, and orchestration of geospatial workflows • Write clean, maintainable, well-tested code and participate in code reviews and architecture decisions • Contribute to CI/CD pipelines for infrastructure, backend applications, data workflows, and analytical services • Design and implement automated tests, data validation, and data-quality checks • Build checks for data completeness, consistency, schema conformance, spatial integrity, metadata, and analytical accuracy • Conduct accuracy assessments, error analysis, uncertainty analysis, spatial cross-validation, bias checks, and other quantitative evaluations • Create, curate, and maintain benchmark and reference datasets for automated validation and regression testing • Document validation methods, test results, and acceptance decisions • Identify data gaps, methodological weaknesses, and limitations affecting interpretation or delivery • Establish QA and validation standards, templates, checklists, review gates, and documentation practices • Promote reproducible practices through versioning of data, code, methods, assumptions, and outputs • Analyze recurring defects or process failures and implement improvements to reduce risk and rework • Communicate validation findings, uncertainty, limitations, and recommendations to technical and non-technical audiences • Contribute technical and QA documentation to reports, client deliverables, proposals, presentations, and publications • Coordinate development and QA activities with project managers and technical leads • Support client and partner discussions regarding system reliability, data quality, and appropriate use

🎯 Requirements

• Bachelor's degree or equivalent experience in computer science, software engineering, information systems, engineering, geography, environmental science, or a related technical field • 3+ years of professional backend software development experience, including meaningful work in geospatial data • Experience working with geospatial APIs and data interoperability standards such as pygeoapi • Knowledge of geospatial data architecture, including PostGIS, GDAL, raster and vector data, and OGC standards • Proficiency in Python for backend development, including building APIs and data pipelines • Working knowledge of geospatial data standards and architecture • Experience validating remote sensing, machine learning, deep learning, image classification, segmentation, or predictive modeling outputs • Experience with cloud platforms and production operations, including deployment, monitoring, and CI/CD, such as AWS, GCP, or Azure • Familiarity with CI/CD practices • Experience with Git/GitHub or comparable version-control workflows • Experience designing and conducting accuracy assessments, validation studies, sampling strategies, or quantitative quality evaluations • Strong knowledge of spatial statistics, uncertainty, bias, error metrics, and interpretation of analytical results • Strong documentation skills and experience maintaining clear, traceable records of methods, findings, and decisions • Exceptional attention to detail and ability to perform independent, objective technical review • Excellent written and verbal communication skills, including explaining technical limitations and risk to varied audiences • U.S. Citizen, or legally authorized to work in the U.S. with no need for 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 authoring peer-reviewed publications, validation reports, technical methods, or audit-ready documentation • Helpful: experience supporting government, nonprofit, consulting, or mission-driven technical projects

🏖️ Benefits

• 3x employer contribution towards retirement matching employee contribution up to 15% • Health insurance, with the Institute paying 90–95% of medical plan costs • Dental insurance, with all dental plan costs paid by the Institute • Vision insurance • 100% reimbursement of the health care deductible through a health reimbursement account • Short-term disability coverage • Long-term disability coverage • Paid parental leave • Voluntary accident insurance • Health care flexible spending account • Dependent care flexible spending account • Paid holidays, vacation, personal, sick, bereavement, and jury duty leave • Office closure between December 24 and January 1 each calendar year • Flexible schedule • Option for a compressed four-day workweek • Tuition and staff development reimbursement • Pet insurance • Employee Assistance Program