Build. Operate.
Modernize. Integrate.
Datgroup engineers federal data platforms and secure system integrations that turn complex mission data into operational capabilities — from source system to mission application.
A federal technology delivery company
Datgroup LLC is a federal technology consulting and engineering company supporting mission-critical government technology programs. We currently support multiple U.S. Immigration and Customs Enforcement programs spanning enterprise data engineering, Databricks, systems integration, application development, AWS, and Agile product delivery.
We combine data engineering, software engineering, systems integration, cloud engineering, and technical product leadership — bridging mission requirements with the platforms and applications that serve them. Datgroup can serve as a specialized subcontractor, a technical teaming partner, or a focused data engineering and systems integration specialist.
Full lifecycle, one team
Datgroup works across the complete data and technology delivery lifecycle rather than a single specialized function — from source-system discovery through mission-facing applications.
Enterprise Data Engineering
Ingestion, ETL/ELT, source-to-target mapping, transformation, and Common Data Model design for complex mission datasets.
Databricks & Data Platforms
Hands-on experience across mature enterprise Databricks environments and new, greenfield data-platform implementations.
Systems Integration
Secure integrations between federal systems and agencies, including authentication, network, and cross-agency architecture.
Cloud & Application Engineering
AWS cloud architecture, application development, and dedicated software engineering capacity supporting production releases.
Product & Agile Delivery
Technical product management, requirements engineering, and Agile/SAFe delivery bridging mission teams and engineering.
Open positions
Datgroup is a growing federal technology delivery team. Current openings are listed below.
AI Engineer
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AI Engineer
We're looking for a Generative AI Engineer to design, build, and deploy AI-powered solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and cloud-native architectures — integrating LLMs into enterprise systems, building scalable GenAI applications, and working with vector databases and AWS-native services like OpenSearch and Bedrock.
Requirements
- US Citizenship required to obtain Public Trust; Active DHS Clearance preferred
- Bachelor's degree + 6 years of experience
- 3+ years developing solutions in Python or similar, with a focus on performance and scalability
- Experience with vector databases for high-dimensional data at scale
- GenAI and Bedrock experience
Responsibilities
- Design, build, and deploy LLM-powered applications for mission-focused environments
- Build RAG architectures that improve response accuracy, explainability, and relevance
- Design chunking strategies and manage embedding pipelines for structured and unstructured data
- Implement and optimize vector search using OpenSearch, Pinecone, Weaviate, Chroma, or FAISS
- Deploy GenAI solutions in cloud-native environments, preferably AWS Bedrock and OpenSearch
- Implement guardrails and responsible AI controls for secure, trustworthy systems
Preferred
- AWS Bedrock and broader AWS AI/ML ecosystem experience
- Experience with foundation models such as Claude, Llama, Mistral, or OpenAI
- MLOps/LLMOps, CI/CD, Docker, and Kubernetes experience
- Experience in federal, regulated, or enterprise-scale environments
Data Engineer
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Data Engineer
The Data Engineer designs, develops, and maintains enterprise data pipelines, data integration solutions, and scalable data architectures supporting analytics, reporting, machine learning, and operational systems across cloud and hybrid environments.
Requirements
- US Citizenship required to obtain Public Trust
- Must be local to the DMV area
- Bachelor's degree
Responsibilities
- Design and maintain enterprise data pipelines for ingestion, transformation, and analytics workloads
- Develop ETL/ELT processes for enterprise data management and integration
- Implement data quality controls, validation, and governance standards
- Support real-time and batch data processing across cloud and hybrid environments
- Collaborate with data scientists, analysts, and application teams on data-driven initiatives
- Monitor and optimize data platform performance, scalability, and reliability
Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or related field
- Experience with Python, SQL, Spark/Scala, Databricks, and distributed data processing
- Experience with AWS services: S3, Kinesis, Lambda, Aurora, RDS, OpenSearch, CloudFormation, CloudWatch
- Experience with relational and non-relational databases (PostgreSQL, Oracle, SQL Server, Redis)
- Experience with Kafka or Confluent Kafka for real-time streaming
- Experience with GitHub Enterprise, CI/CD, Terraform, Docker, and Kubernetes
Let's talk
For teaming, subcontracting, or hiring inquiries, reach out directly.
Ijamsville, MD 21754
Datgroup is a small business, S-Corporation based in Maryland, supporting federal data engineering and systems integration programs. We're open to teaming and subcontracting discussions with primes and agencies.
Email Datgroup