Active Top-Secret clearance with capability to obtain SCI/CI Poly if needed.
Bachelor's degree in Computer Science, IT, Engineering, or related field (or equivalent experience).
Minimum 8 years of experience in data engineering or database design.
Strong skills in relational database design, SQL, and ETL/ELT processing.
Experience with structured and semi-structured data and visualization technologies.
Responsibilities
Develop data processing workflows for visual analytic tools.
Support large-scale relational data analysis using visualization and high-performance computing.
Build secure data ingest pipelines using various technologies.
Design and optimize enterprise relational databases and establish operational standards.
Integrate new data systems with existing data warehouses to enhance performance.
Benefits
Company-subsidized medical premiums for employees and dependents.
Dental and vision coverage.
401k retirement savings plan with up to 4% match.
Health Savings Account (HSA), FSA, and DCFSA options.
Company-paid short/long-term disability and life insurance.
Generous paid time off and all 11 federal holidays.
Legal and identity protection services.
Bonuses for certifications and reimbursement for related expenses.
Employee perks including company outings and discounts on services.
Full Job Description
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
