NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $95,000-125,000 per year. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.
Responsibilities
Design, develop, and support microservices, APIs, and integration services.
Build cloud-native applications and enterprise integrations.
Develop data ingestion, processing, and synchronization solutions.
Support modernization, migration, and reconciliation initiatives.
Implement secure application and integration patterns.
Build and operate Python-based data pipelines for AI model training, including OCR processing, data cleaning, and Azure storage management.
Compensation
Payrate: $92.00 - $98.00/hr.
Pay Transparency: The typical base pay for this role across the U.S. is: $92.00 - $98.00 /hour.
Responsibilities
Develop, maintain, and optimize Python pipelines for data ingestion, OCR processing, text extraction, cleaning, normalization, and deduplication.
Run and monitor large-scale batch processing jobs, investigate failures, and implement reliable retry and recovery mechanisms.
Build automated quality checks to identify missing or corrupted files, incomplete OCR outputs, duplicate content, formatting issues, and metadata inconsistencies.
Prepare training-ready datasets through filtering, text segmentation, tokenization, and conversion into agreed data formats.
Manage bulk uploads, downloads, and synchronization between local processing environments and Azure storage; verify transfer completeness and data integrity.
Lead and expand a talented team building on cutting edge open source data lake technologies, driving innovation and ensuring delivery of robust and scalable solutions for enterprise customers.
Locations (2)
Bellevue, Washington, United States
Menlo Park, California, United States
Responsibilities
Lead a team of engineers in design, development, and support of highly distributed and scalable data platforms
Participate in technical design and roadmap discussions
Own growth of strategic emerging part of Snowflake’s business
Recruit, hire, mentor, and coach team members
Collaborate across teams and organizations
Requirements
Bachelor’s Degree in Computer Science, Engineering, or equivalent
Senior .NET Backend Developer responsible for designing, building, and maintaining enterprise-grade backend services on Microsoft Azure, including API services, Azure Functions, and partner integrations.
Locations (2)
Hyderabad, Telangana, India
Telangana, India
Responsibilities
Design and develop backend services and RESTful APIs using .NET 6 / .NET 8 and ASP.NET Core
Build and maintain Azure Functions and microservices following Orchestrator + Connector pattern
Develop and consume internal NuGet SDKs
Build, deploy, and operate workloads on Azure App Services, AKS, API Management, Service Bus, Event Hubs, Event Grid, Cosmos DB, Azure Table Storage, Blob Storage, and Key Vault
Implement resilient HTTP integrations using Polly, Flurl, and HTTP Client
Requirements
Bachelor's degree in engineering, computer science, business or a related field, or equivalent experience
Contribute to the development of AI training datasets by building and maintaining Python-based data processing pipelines for large-scale structured and unstructured datasets.
Locations (2)
Bellevue, Washington, United States
Seattle, Washington, United States
Compensation
For candidates based in Washington State, the anticipated salary range is $150,000– $160,000 USD/Annually.
Responsibilities
Design, develop, maintain, and optimize Python-based data pipelines for large-scale data ingestion, processing, and transformation.
Build datasets from the ground up by collecting, organizing, cleaning, validating, and preparing raw structured and unstructured data.
Develop workflows for OCR processing, text extraction, normalization, filtering, segmentation, and deduplication.
Execute and monitor large-scale batch processing jobs, troubleshoot failures, and implement automated retry and recovery mechanisms.
Develop automated data quality checks to identify missing or corrupted files, incomplete processing outputs, duplicate records, formatting issues, and metadata inconsistencies.
Cloud Computing Engineer Principal
Syms Strategic Group, LLC (SSG) · Posted Nov 9, 2026
Lead design, deployment, and management of Azure-based cloud solutions for Veterans Affairs, ensuring security, compliance, and operational excellence.
Compensation
Salary Range: $109,623 - $126,790
Responsibilities
Create data flow, cloud, transition, and high-level architecture diagrams
Design, develop, deploy, and operate CI/CD automation technologies
Manage cloud permissions and access controls
Implement monitoring and performance optimization
Provide customer-focused support for VA Enterprise Cloud environments
Requirements
Bachelor’s degree in Computer Science, Systems Engineering, Cloud Engineering or related technical discipline
Lead design, deployment, and management of Azure-based cloud solutions for the Veterans Affairs Enterprise Cloud, ensuring security, compliance, and operational excellence.
Compensation
Salary Range: $109,623 - $126,790
Responsibilities
Create data flow and architecture diagrams for cloud infrastructure
Design, develop, deploy, and operate CI/CD automation
Manage cloud permissions and security controls
Implement monitoring and observability for cloud systems
Provide support for VA Enterprise Cloud environments
Requirements
Bachelor’s degree in Computer Science, Systems Engineering, Cloud Engineering or related technical discipline
Master’s degree in same fields
Nice to have: EDIFECS experience
Nice to have: Microsoft Certified: DevOps Engineer Expert
Remote Cloud Computing Engineer Principal supporting Veterans Affairs systems focusing on Azure (GovCloud) and CI/CD automation.
Compensation
Salary Range: $109,623 - $126,790
Responsibilities
Create data flow diagrams, cloud diagrams, transition diagrams, and high-level architecture diagrams on Cloud Infrastructure, applications, and systems
Design, develop, deploy, and operate automation technologies for continuous integration and continuous delivery (CI/CD)
Manage and control permissions in the cloud service provider for each cloud application, storage, and service being hosted
Implement, manage, and design monitoring capabilities for cloud architecture and cloud-hosted systems and applications to ensure optimal performance and compliance with VA/Federal policies
Provide customer-focused support for Product lines and Services, including setup, configuration, and provisioning of VA Enterprise Cloud (VAEC) environments
Requirements
Bachelor’s degree in Computer Science
Systems Engineering
Cloud Engineering
Master’s degree in the same fields
Nice to have: Microsoft Certified: DevOps Engineer Expert
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