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Remote Geospatial Developer Jobs in Davenport, FL

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

Familiarity with DevOps practices: CI/CD, containerization (Docker), orchestration (Kubernetes ... and geospatial indexing for risk detection ** All Remote Hires - will be required to travel to ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

Familiarity with DevOps practices: CI/CD, containerization (Docker), orchestration (Kubernetes ... and geospatial indexing for risk detection ** All Remote Hires - will be required to travel to ...

Worth AI

Data Platform Engineer

Orlando, FL · Remote

$117K - $140K/yr

Familiarity with DevOps practices: CI/CD, containerization (Docker), orchestration (Kubernetes ... and geospatial indexing for risk detection ** All Remote Hires - will be required to travel to ...

All JobsGeospatial Developer JobsRemote Geospatial Developer JobsRemote Geospatial Developer Jobs in Davenport, FL

Remote Geospatial Developer information

See Davenport, FL salary details

$55.5K

$68.7K

$82.2K

How much do remote geospatial developer jobs pay per year?

As of Aug 2, 2026, the average yearly pay for remote geospatial developer in Davenport, FL is $68,723.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $72,800.00 per year, depending on experience, location, and employer.

What is a Remote Geospatial Developer job?

A Remote Geospatial Developer is a software developer who specializes in building applications that process, analyze, and visualize geospatial data. They work with Geographic Information Systems (GIS), remote sensing data, and mapping technologies to create solutions across industries such as environmental science, urban planning, and logistics. This role typically involves programming in languages like Python, JavaScript, or SQL, and using tools like QGIS, ArcGIS, and Google Earth Engine. Since the job is remote, developers collaborate with teams and clients virtually using communication and project management tools.

What are some common challenges faced by Remote Geospatial Developers, and how are they typically addressed?

Remote Geospatial Developers often encounter challenges such as managing large spatial datasets, integrating data from multiple sources, and ensuring accuracy in map visualizations. Collaboration across time zones and communicating complex spatial concepts to non-technical stakeholders can also be demanding. To address these issues, teams typically use version control systems, detailed documentation, and regular virtual meetings to stay aligned. Ongoing professional development and staying current with the latest GIS tools further help remote developers tackle technical hurdles efficiently. Effective teamwork and strong project management practices are key to successfully navigating these challenges.

What are the key skills and qualifications needed to thrive in the Remote Geospatial Developer position, and why are they important?

To thrive as a Remote Geospatial Developer, you need a solid background in GIS principles, spatial data analysis, and programming languages such as Python or JavaScript, typically supported by a degree in geography, computer science, or a related field. Familiarity with tools like ArcGIS, QGIS, PostGIS, and cloud-based mapping platforms, as well as relevant certifications such as Esri Technical Certifications, is often required. Strong problem-solving skills, self-motivation, and effective remote communication are critical soft skills in this position. These capabilities ensure accurate project delivery, seamless teamwork across distributed teams, and the ability to quickly adapt to evolving geospatial technologies.

What cities near Davenport, FL are hiring for Remote Geospatial Developer jobs? Cities near Davenport, FL with the most Remote Geospatial Developer job openings:
Remote Geospatial Developer jobs near you

Data Platform Engineer

Worth AI

Orlando, FL • On-site, Remote

$106K - $128K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Job description

Worth AI, a leader in the computer software industry, is looking for a talented and experienced Data Platform Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.
As a Data Platform Engineer, you will design, build, and operate the core data services that power our products and analytics. You'll own end-to-end data pipelines and API services that ingest, process, and expose high-quality data to internal customers (data science, analytics, product, and other engineering teams) and external partners.
You'll be part of a small, high-impact team that treats the data platform as a product with strong SLAs, and reliable self-service for internal and external users.
Responsibilities
What you'll do:
  • Architect and implement entity resolution logic to de-duplicate and link disparate data points into unified "Golden Records" for businesses and individuals
  • Design and maintain a high-performance global business knowledge graph and ontology to map complex ownership chains, UBOs, and hidden risk relationships across international borders
  • Implement a hybrid storage strategy that bridges graph databases for relationship mapping with document and search stores for rich metadata and adverse media content
  • Optimize the platform for real-time risk assessment, ensuring the ability to traverse multiple levels of ownership in milliseconds to support automated "Go/No-Go" onboarding decisions
  • Design and build scalable data services and APIs for ingesting, transforming, and serving data across the company
  • Develop and maintain batch and streaming data pipelines using modern data processing frameworks and AWS cloud-native tooling
  • Own the reliability, performance, and API first data platform, including monitoring, alerting, and on-call where appropriate
  • Implement best practices for data modeling, quality, lineage, and governance to ensure trustworthy, well-documented datasets
  • Work closely with data scientists, analysts, and application engineers to understand their needs and translate them into robust platform capabilities
  • Drive automation and standardization through CI/CD, model as a service, and reproducible environments
  • Help define and evolve the architecture of our data platform as a true internal service with clear contracts, SLAs, and versioned APIs

Requirements
    • Expertise in Graph Ecosystems: Hands-on experience with Graph databases (e.g., Neo4j, AWS Neptune, or TigerGraph) and query languages like Cypher or Gremlin
    • Identity & Linkage Mastery: Proven experience with Entity Resolution or Record Linkage (e.g., using tools like Senzing, Quantexa, or custom probabilistic matching models)
    • Schema Design: Ability to design flexible ontologies that handle evolving regulatory data (e.g., changing PEP definitions or Sanction list formats)
    • API Performance for Graphs: Experience building GraphQL or REST APIs specifically optimized for graph traversals and deep-tree lookups
    • Experience building centralized data platforms or "data-as-a-service" offerings at scale (e.g., at a large tech or cloud-native company)
    • Strong software engineering skills in at least one language commonly used for data and services (e.g., Python, Java, Go, Rust)
    • Hands-on experience building data pipelines and ETL/ELT workflows on a major cloud provider (AWS preferred)
    • Experience with modern data stack tools such as Spark/Flink, Kafka/Kinesis, Airflow/managed schedulers, and data warehouses (e.g., Snowflake, Redshift, BigQuery, Databricks)
    • Familiarity with DevOps practices: CI/CD, containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform)
    • Strong focus on observability (metrics, logs, traces), resilience, and building early warning signals
    • Comfort collaborating cross-functionally and communicating clearly with both technical and non-technical stakeholders

Nice to Have
    • Background supporting machine learning or real-time decisioning use cases from a platform point of view
    • Compliance Domain Knowledge: Understanding of AML, CTF, and KYC/KYB data structures (e.g., LEIs, ISO 20022)
    • Geospatial Data: Experience handling global address normalization and geospatial indexing for risk detection

** All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration in addition to orientation in Orlando, Florida
Benefits
    • Health Care Plan (Medical, Dental & Vision)
    • Retirement Plan (401k, IRA)
    • Life Insurance
    • Flexible Paid Time Off
    • 9 paid Holidays
    • Family Leave
    • Work From Home
    • Free Food & Snacks (Orlando)
    • Wellness Resources

Apply