PID: 26-22-10-006
Summary E-INFOSOL LLC is seeking a motivated and results-driven
Data Engineer with 8 years of relevant professional experience in the cleared IT government contracting space to join our growing team.
Position Overview The
Data Engineer will support advanced visual analytic applications by building data pipelines, designing large relational databases, and enabling high-performance analysis across structured and semi-structured data. This role helps streamline processes, improve system performance, and strengthen secure data practices while mentoring junior team members and contributing to cross-team standards.
- Develop data processing workflows and analytics for desktop and web-based visual analytic tools.
- Support large-scale relational data analysis using visualization and high-performance computing.
- Build secure data ingest pipelines using open-source, COTS, and GOTS technologies.
- Design and optimize enterprise relational databases and establish standards for operations and security.
- Integrate new data systems with existing data warehouses and improve performance and functionality.
- Provide mentorship and contribute to system optimization and secure posture improvements.
Required Qualifications - Active Top-Secret clearance with capability to obtain SCI/CI Poly if needed to meet contract requirements.
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline (or equivalent experience).
- Minimum 8 years of relevant professional experience in data engineering, database design, or related fields.
Required Skills - Strong skills in relational database design, SQL, and ETL/ELT processing.
- Experience working with structured and semi-structured data and visualization technologies.
- Familiarity with high-performance computing and mixed-technology environments.
- Strong analytical, communication, and collaboration skills.
- Experience improving data workflows, performance, and security.
Preferred Qualifications: - Experience supporting federal or secure, multi-enclave environments.
- Background with advanced visualization platforms or high-volume data processing.
- Knowledge of data modeling, warehousing, and performance tuning.
Desired Skills - In-house custom developed application
- Advanced AI, GenAI & Multi-Model Engineering
- Multi-model and multi-modality orchestration (reasoning, perception, memory, tool execution)
- Temporal, spatial, geographic, quantitative, and computer vision AI implementation
- Named Entity Recognition (NER), contextual entity extraction, and resolution
- Multi-step retrieval and structured output generation
- Complex data parsing and streamlined ingestion
- Deep source citation and traceable analytic outputs
- Data Architecture & ETL
- Vector, graph, and multi database orchestration
- Automated ETL pipeline creation, scheduling, and optimization
- Attribute Based Access Control (ABAC) at the data layer
- Provenance and end to end data lineage tracking
- Schema aligned ingestion and normalization of diverse structured and unstructured data
- Enterprise Infrastructure & CrossDomain Solutions
- Air gapped, hybrid, and on premise operational environments
- Container orchestration and distributed systems management (Kubernetes)
- Locally hosted GPU servers and hyperconverged nodes
- Multitenant CrossDomain Solutions (CDS)
- Application Development & Integration
- UI, backend, and middleware engineering (TypeScript, React, Python, FastAPI, LanceDB, lance graph, PostgreSQL, Temporal.io, Docker, Kubernetes)
- Integration of reasoning components, retrieval systems, databases, and AI / GenAI services
- Use of modern programming languages and frameworks
- Angular
- .NET C#
- Database (MySQL)
- Elasticsearch / OpenSearch
- Integration of reasoning components, retrieval systems, databases, and AI / GenAI services
- ETL
- Python
- RabbitMQ
- Celery
- Redis / Valkey
- Databases (MySQL, Postgres, Microsoft SQL)
- Elasticsearch / OpenSearch
- Complex data parsing and streamlined ingestion
- Provenance and end-to-end data lineage tracking
- Schema-aligned ingestion and normalization of diverse structured and unstructured data
- Integration of reasoning components, retrieval systems, databases, and AI / GenAI services
Benefits- Medical - company subsidized premiums for employees, including family and dependent options.
- Dental and Vision
- Retirement Savings (401k) up to 4% match
- Health Savings Account (HSA), FSA and DCFSA
- Company-paid Short/Long-term disability (w/ additional supplemental options)
- Company-paid Life and AD&D (w/ additional supplemental options)
- Generous Paid Time Off and ALL 11 Federal Holidays
- Legal and Identity Protection Services
- Bonuses for certifications and reimbursement
Employee Perks:
- UberOne, Company Outings (Sporting events, Happy Hours, etc.), Discounts on services including Pet Insurance
Company Awards- SBA 8(a) Certified
- SDVOSB
- GSA Contract Holder
- Inc. 5000
Website: E-INFOSOL.com
