Data Engineer

E-Infosol LLC•Washington, DC

8d•$155,000 - $165,000

About The Position

E-INFOSOL LLC is seeking a motivated, results-driven Data Engineer with at least 8 years of relevant professional experience in cleared IT government contracting. The role supports advanced visual analytic applications by building data pipelines, designing large relational databases, and enabling high-performance analysis across structured and semi-structured data. The Data Engineer will help streamline processes, improve system performance, strengthen secure data practices, mentor junior team members, and contribute to cross-team standards. The position develops data processing workflows and analytics for desktop- and web-based visual analytic tools; supports large-scale relational data analysis using visualization and high-performance computing; builds secure data ingest pipelines using open-source, COTS, and GOTS technologies; and designs and optimizes enterprise relational databases. The role also establishes operational and security standards, integrates new data systems with existing data warehouses, improves performance and functionality, and contributes to system optimization and secure posture improvements. The position requires an active Top-Secret clearance, with capability to obtain SCI/CI Poly if needed to meet contract requirements. Candidates must have a bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline, or equivalent experience. E-INFOSOL describes itself as a people-first organization focused on employee culture and career growth, including certification reimbursement and bonuses.

Requirements

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.
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.

Nice To Haves

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.
Experience with in-house custom-developed applications.
Advanced AI, GenAI, and multi-model engineering.
Multi-model and multi-modality orchestration, including reasoning, perception, memory, and 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 and 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.
Experience with air-gapped, hybrid, and on-premise operational environments.
Container orchestration and distributed systems management, including Kubernetes.
Experience with locally hosted GPU servers and hyperconverged nodes.
Experience with multitenant CrossDomain Solutions (CDS).
UI, backend, and middleware engineering using technologies such as TypeScript, React, Python, FastAPI, LanceDB, lance graph, PostgreSQL, Temporal.io, Docker, and Kubernetes.
Integration of reasoning components, retrieval systems, databases, and AI/GenAI services.
Experience with modern programming languages and frameworks, including Angular and .NET C#.
Experience with MySQL, PostgreSQL, Microsoft SQL, Elasticsearch, or OpenSearch.
Experience with Python, RabbitMQ, Celery, Redis, or Valkey.

Responsibilities

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.
Mentor junior team members.
Contribute to cross-team standards, system optimization, and secure posture improvements.

Benefits

Company-subsidized medical premiums for employees, with family and dependent options.
Dental insurance.
Vision insurance.
401(k) retirement savings with up to 4% company match.
Health Savings Account (HSA), Flexible Spending Account (FSA), and Dependent Care Flexible Spending Account (DCFSA).
Company-paid short- and long-term disability coverage, with additional supplemental options.
Company-paid life and AD&D coverage, with additional supplemental options.
Generous paid time off and all 11 federal holidays.
Legal and identity protection services.
Certification bonuses and reimbursement.
UberOne, company outings, and discounts on services including pet insurance.