{"schemaVersion":"jobsearcher.job.v1","id":"91c932af2b090ed47699ce53","url":"https://jobsearcher.com/jobs/91c932af2b090ed47699ce53","canonicalUrl":"https://jobsearcher.com/jobs/91c932af2b090ed47699ce53","title":"Mid-Level AI Data Engineer","description":"Position Summary\nGlobal C2 Integration Technologies is looking for a talented and enthusiastic Mid-Level AI Data Engineer to support our growing AI, Data, and Automation portfolio in support of federal and DoD missions. This role serves as a technical cornerstone within project teams, applying strong data engineering fundamentals to enable generative AI, large language models (LLMs), and agentic AI solutions. The ideal candidate is hands-on, mission-focused, and comfortable operating in cloud-native environments.\n\nResponsibilities:\nDesign, build, and optimize data pipelines to ingest, clean, normalize, and structure data for generative AI, LLMs, and Retrieval-Augmented Generation (RAG) use cases.\nEnable reliable, secure access to structured and unstructured data sources supporting AI workflows.\nManage and organize large-scale datasets across cloud platforms (AWS, Azure, GCP).\nImplement and maintain medallion architectures (Bronze/Silver/Gold) to ensure data quality, lineage, governance, and accessibility.\nWork with SQL and NoSQL databases to model, query, and load large datasets at scale.\nMonitor, tune, and maintain high-performance data stores supporting analytics, AI workloads, and reporting.\nCollaborate closely with data engineers, software engineers, AI engineers, and data scientists to develop operational, agentic AI systems.\nParticipate in technical design reviews and cross-functional solutioning.\nSupport automated deployment pipelines using Infrastructure as Code (IaC), CI/CD frameworks, and containerized environments.\nContribute to repeatable, secure, cloud-native deployment patterns.\nMonitor AI-enabled systems post-deployment.\nPerform performance tuning and apply best practices for scalability, reliability, and availability.\nDevelop clean, maintainable, and well-documented code aligned with industry best practices and federal standards.\nSupport reproducible development and operational transparency.\nStay current on emerging AI, data engineering, and automation technologies.\nActively learn from senior engineers and AI architects through mentorship and technical collaboration.\n\nRequirements:\nS. Citizenship with eligibility to obtain and maintain a DoD Secret clearance.\nBachelor's or Master's degree in Computer Science, Data Science, AI/ML, Engineering, or a related discipline.\n3-7 years of hands-on experience delivering data engineering, AI, or ML solutions.\nStrong understanding of ETL/ELT processes and enterprise data platforms, including experience with technologies such as:\nOpenSearch / Elasticsearch\nKafka\nAWS Bedrock, Glue, S3, RDS, EBS, Glacier\nDatabricks, Snowflake\nExperience with vector databases, embeddings, and associated data structures, file formats, APIs, and services (e.g., FAISS, PGVector, OpenSearch/Elasticsearch, Pinecone, Hugging Face, Bedrock Knowledge Bases).\nPractical experience working with generative AI, LLMs, tool calling (MCP), and agent-based architectures (A2A).\nFamiliarity with leading AI platforms and APIs (OpenAI, Anthropic, Gemini, AWS Bedrock, Google Vertex AI).\nExperience using CI/CD pipelines (GitHub, GitLab, Jenkins).\nProficiency with modern development environments (VS Code) and AI-assisted coding tools (e.g., Cline, Claude Code).\nStrong written and verbal communication skills with a customer-focused mindset.\n\nPreferred Qualifications:\nDemonstrated curiosity and willingness to experiment with emerging AI capabilities in pursuit of real mission impact.\nStrong Python proficiency and experience with libraries/frameworks such as:\nPySpark, Pandas, uv, Pydantic, FastAPI\nLangChain, LangGraph, CrewAI, Unstructured\nExperience with Infrastructure as Code tools (Terraform, OpenTofu, AWS CDK, CloudFormation).\nExperience with agentic AI frameworks and platforms (Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, AgentCore).\nExposure to adjacent disciplines including data science, cloud engineering, platform engineering, or UI/UX development.\nFamiliarity with federal cybersecurity requirements and frameworks (RMF, FedRAMP, NIST).\n\nPHYSICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job the employee is regularly required to climb, bend, stretch, walk, sit use hands to handle or feel; frequently use fingers to type; talk and hear; occasionally stand, kneel, stoop, crouch, bend, twist or reach out; may require lifting or moving 10 lbs.; frequently required to reach with hands and arms. Vision requirements for this position include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.\nWORK ENVIRONMENT: Work environment will have moderate noise when working in an office environment.\nADDITIONAL INFORMATION:\nEqual Opportunity Employer - The Company does not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.\nAll applicants must be able to perform the essential functions of the position, including corresponding core job requirements, with or without reasonable accommodation. Reasonable accommodation may be made to enable individuals with disabilities (and others in accordance with applicable law) to perform the essential functions of the job, consistent with applicable laws and Company policy.\nPlease email inquiries to: jobs@gc2it.com","company":"Globalc2integrationtechnologies1","rawCompany":"globalc2integrationtechnologies1","city":"McLean","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-04-14T11:11:44.867Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Mid-Level AI Data Engineer","description":"Position Summary\nGlobal C2 Integration Technologies is looking for a talented and enthusiastic Mid-Level AI Data Engineer to support our growing AI, Data, and Automation portfolio in support of federal and DoD missions. This role serves as a technical cornerstone within project teams, applying strong data engineering fundamentals to enable generative AI, large language models (LLMs), and agentic AI solutions. The ideal candidate is hands-on, mission-focused, and comfortable operating in cloud-native environments.\n\nResponsibilities:\nDesign, build, and optimize data pipelines to ingest, clean, normalize, and structure data for generative AI, LLMs, and Retrieval-Augmented Generation (RAG) use cases.\nEnable reliable, secure access to structured and unstructured data sources supporting AI workflows.\nManage and organize large-scale datasets across cloud platforms (AWS, Azure, GCP).\nImplement and maintain medallion architectures (Bronze/Silver/Gold) to ensure data quality, lineage, governance, and accessibility.\nWork with SQL and NoSQL databases to model, query, and load large datasets at scale.\nMonitor, tune, and maintain high-performance data stores supporting analytics, AI workloads, and reporting.\nCollaborate closely with data engineers, software engineers, AI engineers, and data scientists to develop operational, agentic AI systems.\nParticipate in technical design reviews and cross-functional solutioning.\nSupport automated deployment pipelines using Infrastructure as Code (IaC), CI/CD frameworks, and containerized environments.\nContribute to repeatable, secure, cloud-native deployment patterns.\nMonitor AI-enabled systems post-deployment.\nPerform performance tuning and apply best practices for scalability, reliability, and availability.\nDevelop clean, maintainable, and well-documented code aligned with industry best practices and federal standards.\nSupport reproducible development and operational transparency.\nStay current on emerging AI, data engineering, and automation technologies.\nActively learn from senior engineers and AI architects through mentorship and technical collaboration.\n\nRequirements:\nS. Citizenship with eligibility to obtain and maintain a DoD Secret clearance.\nBachelor's or Master's degree in Computer Science, Data Science, AI/ML, Engineering, or a related discipline.\n3-7 years of hands-on experience delivering data engineering, AI, or ML solutions.\nStrong understanding of ETL/ELT processes and enterprise data platforms, including experience with technologies such as:\nOpenSearch / Elasticsearch\nKafka\nAWS Bedrock, Glue, S3, RDS, EBS, Glacier\nDatabricks, Snowflake\nExperience with vector databases, embeddings, and associated data structures, file formats, APIs, and services (e.g., FAISS, PGVector, OpenSearch/Elasticsearch, Pinecone, Hugging Face, Bedrock Knowledge Bases).\nPractical experience working with generative AI, LLMs, tool calling (MCP), and agent-based architectures (A2A).\nFamiliarity with leading AI platforms and APIs (OpenAI, Anthropic, Gemini, AWS Bedrock, Google Vertex AI).\nExperience using CI/CD pipelines (GitHub, GitLab, Jenkins).\nProficiency with modern development environments (VS Code) and AI-assisted coding tools (e.g., Cline, Claude Code).\nStrong written and verbal communication skills with a customer-focused mindset.\n\nPreferred Qualifications:\nDemonstrated curiosity and willingness to experiment with emerging AI capabilities in pursuit of real mission impact.\nStrong Python proficiency and experience with libraries/frameworks such as:\nPySpark, Pandas, uv, Pydantic, FastAPI\nLangChain, LangGraph, CrewAI, Unstructured\nExperience with Infrastructure as Code tools (Terraform, OpenTofu, AWS CDK, CloudFormation).\nExperience with agentic AI frameworks and platforms (Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, AgentCore).\nExposure to adjacent disciplines including data science, cloud engineering, platform engineering, or UI/UX development.\nFamiliarity with federal cybersecurity requirements and frameworks (RMF, FedRAMP, NIST).\n\nPHYSICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job the employee is regularly required to climb, bend, stretch, walk, sit use hands to handle or feel; frequently use fingers to type; talk and hear; occasionally stand, kneel, stoop, crouch, bend, twist or reach out; may require lifting or moving 10 lbs.; frequently required to reach with hands and arms. Vision requirements for this position include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.\nWORK ENVIRONMENT: Work environment will have moderate noise when working in an office environment.\nADDITIONAL INFORMATION:\nEqual Opportunity Employer - The Company does not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.\nAll applicants must be able to perform the essential functions of the position, including corresponding core job requirements, with or without reasonable accommodation. Reasonable accommodation may be made to enable individuals with disabilities (and others in accordance with applicable law) to perform the essential functions of the job, consistent with applicable laws and Company policy.\nPlease email inquiries to: jobs@gc2it.com","datePosted":"2026-04-14T11:11:44.867Z","dateModified":"2026-04-14T11:11:44.867Z","hiringOrganization":{"@type":"Organization","name":"Globalc2integrationtechnologies1","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"McLean","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"91c932af2b090ed47699ce53"},"url":"https://jobsearcher.com/jobs/91c932af2b090ed47699ce53"}}