

Empiric
Lead AWS Developer
โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead AWS Developer with a 6-month contract, offering $85-$95 per hour. It requires expertise in AWS Neptune, Python, Java, DevOps, and data architecture. Applicants must be US citizens or GC Holders.
๐ - Country
United States
๐ฑ - Currency
$ USD
-
๐ฐ - Day rate
760
-
๐๏ธ - Date
November 1, 2025
๐ - Duration
More than 6 months
-
๐๏ธ - Location
Remote
-
๐ - Contract
Unknown
-
๐ - Security
Unknown
-
๐ - Location detailed
United States
-
๐ง - Skills detailed
#Data Modeling #AWS (Amazon Web Services) #Data Processing #Scala #"ETL (Extract #Transform #Load)" #Java #API (Application Programming Interface) #DevOps #Data Catalog #Spark (Apache Spark) #Security #Data Management #Data Integration #Data Pipeline #Cloud #Python #Metadata #Monitoring #SQL (Structured Query Language) #Data Architecture
Role description
Lead AWS Developer - AWS Neptune, Python, Java, DevOps
Location: Remote
Rate: $85 - $95 per hour
Contract: 6 months initial
Disclaimer: Applicants need to be US citizens or GC Holders
The Lead Developer will spearhead the hands-on implementation and technical delivery of the UDP Ontology Framework. In this role, you will direct the development team to construct the solution, foster collaboration, and transform the technical architecture into a robust, operational platform. Working in tandem with architects and data strategists, you will execute the architecture for the data catalog, graph database, and integrationsโensuring scalability, security, alignment with project requirements, and adherence to data and DevOps best practices.
Key Responsibilities
โข Guide the technical implementation of the complete end-to-end ontology solution architecture.
โข Drive hands-on development of the MVP ontology, including mapping rules and linked data attributes to the graph database (e.g., AWS Neptune).
โข Build connectivity and smooth integrations between the ontology solution, existing AWS data platforms, external data sources, and related services.
โข Set up and oversee CI/CD pipelines, security measures, and DevOps processes to support reliable implementation.
โข Deploy the architecture for the Data Catalog, graph database, and essential AWS services.
โข Design the technical framework to accommodate hybrid/multi-cloud environments where needed.
โข Partner with the Senior Project Manager and Data Strategist to plan, execute, and align technical efforts with overall project goals.
โข Organize and deliver technical demonstrations to highlight the development team's progress.
Required Skills and Technologies
โข In-depth expertise in data architecture, data modeling, and graph database principles.
โข Proficiency in Python, Java, Spark, and SQL for development and data processing.
โข Strong knowledge of semantic modeling, ontologies, and metadata management.
โข Extensive hands-on experience with AWS services, especially AWS Neptune.
โข Advanced skills in data integration, API development and connectivity, and building data pipelines.
โข Proven track record in implementing and maintaining CI/CD pipelines, DevOps methodologies, and cloud security protocols.
โข Experience optimizing solutions for high performance through techniques like caching and pre-aggregation, along with effective monitoring.
โข Familiarity with hybrid/multi-cloud architecture strategies.
โข Outstanding collaboration and communication abilities to engage with architects, data strategists, and client stakeholders.
โข Comfortable using Microsoft Office tools, including Word, Excel, and PowerPoint.
Lead AWS Developer - AWS Neptune, Python, Java, DevOps
Location: Remote
Rate: $85 - $95 per hour
Contract: 6 months initial
Disclaimer: Applicants need to be US citizens or GC Holders
The Lead Developer will spearhead the hands-on implementation and technical delivery of the UDP Ontology Framework. In this role, you will direct the development team to construct the solution, foster collaboration, and transform the technical architecture into a robust, operational platform. Working in tandem with architects and data strategists, you will execute the architecture for the data catalog, graph database, and integrationsโensuring scalability, security, alignment with project requirements, and adherence to data and DevOps best practices.
Key Responsibilities
โข Guide the technical implementation of the complete end-to-end ontology solution architecture.
โข Drive hands-on development of the MVP ontology, including mapping rules and linked data attributes to the graph database (e.g., AWS Neptune).
โข Build connectivity and smooth integrations between the ontology solution, existing AWS data platforms, external data sources, and related services.
โข Set up and oversee CI/CD pipelines, security measures, and DevOps processes to support reliable implementation.
โข Deploy the architecture for the Data Catalog, graph database, and essential AWS services.
โข Design the technical framework to accommodate hybrid/multi-cloud environments where needed.
โข Partner with the Senior Project Manager and Data Strategist to plan, execute, and align technical efforts with overall project goals.
โข Organize and deliver technical demonstrations to highlight the development team's progress.
Required Skills and Technologies
โข In-depth expertise in data architecture, data modeling, and graph database principles.
โข Proficiency in Python, Java, Spark, and SQL for development and data processing.
โข Strong knowledge of semantic modeling, ontologies, and metadata management.
โข Extensive hands-on experience with AWS services, especially AWS Neptune.
โข Advanced skills in data integration, API development and connectivity, and building data pipelines.
โข Proven track record in implementing and maintaining CI/CD pipelines, DevOps methodologies, and cloud security protocols.
โข Experience optimizing solutions for high performance through techniques like caching and pre-aggregation, along with effective monitoring.
โข Familiarity with hybrid/multi-cloud architecture strategies.
โข Outstanding collaboration and communication abilities to engage with architects, data strategists, and client stakeholders.
โข Comfortable using Microsoft Office tools, including Word, Excel, and PowerPoint.






