• Engineer robust solutions for data processing challenges • Develop and maintain data scraping platforms • Conduct research and technical investigations • Collaborate with a large team to improve data quality

• Design and implement high-performance, scalable Python microservices and APIs that support our real-time AI agent framework • Build resilient distributed systems that maintain high availability and low latency at scale, supporting tens of thousands of concurrent connections • Architect robust data storage solutions across SQL, NoSQL, in-memory stores (Redis), and blob storage, understanding when to use each and how to orchestrate them • Implement message queuing systems and event-driven architectures for reliable inter-service communication • Build and maintain integrations with Epic EHR and other healthcare systems • Ensure HIPAA compliance and security in all system designs • Create monitoring and observability systems to ensure platform reliability • Take end-to-end ownership of backend features from design through deployment • Collaborate effectively with cross-functional teams through technical discussions and code reviews

• Design and maintain automated ETL pipelines for ingesting real-time hazard and infrastructure data (e.g., power outages, transportation disruptions, weather feeds, supply chain signals). • Develop Python-based geospatial processing workflows (GeoPandas, Shapely, Rasterio, etc.). • Build and optimize DuckDB/DuckLake spatial queries. • Transform large-scale geospatial datasets into analytics-ready formats (Parquet, cloud native formats, GeoJSON, etc.). • Manage structured and semi-structured data feeds (API integrations, S3 ingestion, streaming updates). • Support FEMA lifeline monitoring (Energy, Transportation, Food/Water/Shelter, Health & Medical, Communications, etc.). • Develop spatial risk indices (e.g., outage duration metrics, restoration modeling, supply chain exposure). • Perform geospatial overlays to assess hazard-economic interdependencies. • Create repeatable, automated workflows for disaster response reporting. • Integrate spatial data with economic datasets (IMPLAN, BEA, BLS QCEW, NAICS crosswalks, etc.). • Support micro- and macro-economic impact modeling workflows. • Develop location-based analytics for critical industries and supply chain hubs. • Assist in surge analysis and large-event preparedness (e.g., major storms, national events). • Support ArcGIS Online / Experience Builder applications. • Build data services and feature layers optimized for performance. • Develop scripts to automate map exports and report graphics. • Support internal analytics platform development (e.g., open-source spatial analytics environments). • Implement validation checks and logging for data integrity. • Maintain structured data catalog documentation. • Troubleshoot spatial data errors (projection issues, geometry corruption, schema inconsistencies). • Ensure reproducibility and documentation of workflows.

• Architect and evolve the end-to-end NexusOne platform across on-prem, hybrid, and cloud environments, tailored to customer requirements and constraints. • Design and designate integration points for data services, pipelines, orchestration, governance, and security layers. • Translate solution requests and business requirements into scalable, compliant architecture blueprints. • Lead and participate in Architecture Review Boards (ARBs) to align deployments with enterprise standards. • Define and maintain reference architectures, design patterns, and integration frameworks. • Guide platform engineers and client teams in implementing best practices for security, observability, and reliability. • Oversee the selection, integration, and tuning of open-source components such as Airflow, Spark, Trino, YuniKorn, Superset, S3, NiFi, Ranger, and DataHub. • Partner with product and engineering leadership to evolve the NexusOne “North Star” architecture and roadmap. • Mentor engineers and collaborate with DevOps, Security, and DataOps to drive alignment and platform maturity.