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Home Based Python Gis Developer Jobs in Jacksonville, FL

Kavaliro

Senior Backend Software Engineer

Jacksonville, FL · On-site

$111K - $146K/yr

Experience with real-time systems using technologies such as C++, MFC, Python, SQL, VBA, PHP ... Exposure to GIS or spatial data systems. * Experience with Azure cloud development and deployment ...

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All JobsHome Based Python Gis Developer JobsHome Based Python Gis Developer Jobs in Jacksonville, FL

Home Based Python Gis Developer information

See Jacksonville, FL salary details

$12

$54

$79

How much do home based python gis developer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for home based python gis developer in Jacksonville, FL is $54.32, according to ZipRecruiter salary data. Most workers in this role earn between $44.76 and $61.68 per hour, depending on experience, location, and employer.

What is the difference between Home Based Python Gis Developer vs GIS Analyst?

AspectHome Based Python Gis DeveloperGIS Analyst
Required CredentialsBachelor's in GIS, Computer Science, or related field; Python and GIS certificationsBachelor's in Geography, GIS, or related field; GIS certifications often preferred
Work EnvironmentRemote, project-based, often freelance or contractOffice or remote, typically full-time with team collaboration
Industry UsageTech companies, mapping services, environmental firmsGovernment agencies, urban planning, environmental consulting
Common Search/ComparisonYesNo

The Home Based Python Gis Developer primarily focuses on coding, developing GIS applications, and data automation using Python remotely. In contrast, a GIS Analyst interprets spatial data, creates maps, and provides insights, often working in an office setting. While both roles require GIS knowledge, the developer role emphasizes programming skills and remote work, whereas the analyst role centers on data analysis and visualization in a team environment.

Home Based Python Gis Developer jobs near you
Infographic showing various Home Based Python Gis Developer job openings in Jacksonville, FL as of July 2026, with employment types broken down into 25% Internship, 50% Full Time, and 25% Temporary. Highlights an 100% In-person job distribution, with an average salary of $112,979 per year, or $54.3 per hour.
Information Technology_USA - USA_Developer

Information Technology_USA - USA_Developer

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Re-posted 23 days ago

Job description

ALL CAPS, NO SPACES B/T UNDERSCORES PTN_US_GBAMSREQID_
Candidate BeelineID i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Thomas Hodges
Targeted - -hr
REQUIREMENT_CITY - Malvern, PA
REQUIREMENT_ID-10695809
Role Name - Senior Data Engineer (AWS, Python)
ROLE_DESCRIPTION -
Key Responsibilities
Build and maintain event-driven data pipelines using AWS services such as Kinesis, MSK/Kafka, Lambda, Step Functions, SQS/SNS, and Glue/EMR.
Develop ETL/ELT workflows using Python and PySpark, ensuring performance, scalability, and cost efficiency.
Implement and optimize Spark-based data transformations, partitioning strategies, and data processing frameworks.
Design and manage data lake and warehouse structures using S3, Glue Catalog, Athena, and/or Redshift.
Build streaming solutions with checkpointing, stateful transformations, idempotency, and schema evolution.
Ensure high standards of data quality, observability, monitoring, and alerting (CloudWatch, Datadog, etc.).
Implement data security best practices including IAM, encryption (KMS), networking, and governance.
Create reusable frameworks, internal libraries, and CI/CD pipelines for automated deployments.
Collaborate with data scientists, analysts, and business teams to deliver well-modeled, reliable datasets.
Lead design reviews, mentor junior engineers, and contribute to engineering best practices.
Required Qualifications
Overall 10+ yrs of experience
7+ years of professional experience in Data Engineering.
Experience of working on Java is an advantage
Strong expertise in Python and PySpark for large-scale data processing.
Advanced hands-on experience with AWS (S3, Glue, EMR, Lambda, Step Functions, Kinesis/MSK, DynamoDB, Athena, Redshift).
Deep experience building event-driven and streaming data pipelines.
Strong SQL experience for analytical and ETL workloads.
Hands-on experience with workflow orchestration tools such as Airflow or Step Functions.
Experience with CI/CD, Git, and Infrastructure-as-Code (Terraform or CloudFormation).
Strong understanding of distributed systems, Spark performance tuning, data modeling, and cloud cost optimization.
Knowledge of data security, encryption, networking, and compliance best practices in cloud environments
Skills: Digital : Amazon Web Service(AWS) Cloud Computing~Advanced Java Concepts~Digital : Spring Boot~Angular 13+~Core Java
Experience Required: 8-10, Project Code :

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