Mid-Level AI Data Engineer

Position Summary

Global 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.

Responsibilities:

• Design build and optimize data pipelines to ingest clean normalize and structure data for generative AI LLMs and Retrieval-Augmented Generation (RAG) use cases.
• Enable reliable secure access to structured and unstructured data sources supporting AI workflows.
• Manage and organize large-scale datasets across cloud platforms (AWS Azure GCP).
• Implement and maintain medallion architectures (Bronze/Silver/Gold) to ensure data quality lineage governance and accessibility.
• Work with SQL and NoSQL databases to model query and load large datasets at scale.
• Monitor tune and maintain high-performance data stores supporting analytics AI workloads and reporting.
• Collaborate closely with data engineers software engineers AI engineers and data scientists to develop operational agentic AI systems.
• Participate in technical design reviews and cross-functional solutioning.
• Support automated deployment pipelines using Infrastructure as Code (IaC) CI/CD frameworks and containerized environments.
• Contribute to repeatable secure cloud-native deployment patterns.
• Monitor AI-enabled systems post-deployment.
• Perform performance tuning and apply best practices for scalability reliability and availability.
• Develop clean maintainable and well-documented code aligned with industry best practices and federal standards.
• Support reproducible development and operational transparency.
• Stay current on emerging AI data engineering and automation technologies.
• Actively learn from senior engineers and AI architects through mentorship and technical collaboration.

Requirements:

• S. Citizenship with eligibility to obtain and maintain a DoD Secret clearance.
• Bachelors or Masters degree in Computer Science Data Science AI/ML Engineering or a related discipline.
• 3-7 years of hands-on experience delivering data engineering AI or ML solutions.
• Strong understanding of ETL/ELT processes and enterprise data platforms including experience with technologies such as:
• OpenSearch / Elasticsearch
• Kafka
• AWS Bedrock Glue S3 RDS EBS Glacier
• Databricks Snowflake
• Experience 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).
• Practical experience working with generative AI LLMs tool calling (MCP) and agent-based architectures (A2A).
• Familiarity with leading AI platforms and APIs (OpenAI Anthropic Gemini AWS Bedrock Google Vertex AI).
• Experience using CI/CD pipelines (GitHub GitLab Jenkins).
• Proficiency with modern development environments (VS Code) and AI-assisted coding tools (e.g. Cline Claude Code).
• Strong written and verbal communication skills with a customer-focused mindset.

Preferred Qualifications:

• Demonstrated curiosity and willingness to experiment with emerging AI capabilities in pursuit of real mission impact.
• Strong Python proficiency and experience with libraries/frameworks such as:
• PySpark Pandas uv Pydantic FastAPI
• LangChain LangGraph CrewAI Unstructured
• Experience with Infrastructure as Code tools (Terraform OpenTofu AWS CDK CloudFormation).
• Experience with agentic AI frameworks and platforms (Agent2Agent Protocol AWS Bedrock Agents Mastra CrewAI Strands AgentCore).
• Exposure to adjacent disciplines including data science cloud engineering platform engineering or UI/UX development.
• Familiarity with federal cybersecurity requirements and frameworks (RMF FedRAMP NIST).

PHYSICAL 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.

WORK ENVIRONMENT: Work environment will have moderate noise when working in an office environment.

ADDITIONAL INFORMATION:

Equal 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.

All 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.

Please email inquiries to:

Required Experience:

Manager