Data Engineer

E-Infosol LLC is seeking a Data Engineer to support advanced visual analytic applications in Washington, DC. The role focuses on building and optimizing data pipelines, relational data platforms, and secure data practices to enable high-performance analysis across structured and semi-structured sources.

Key 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.
• Provide mentorship and contribute to system optimization and improvements to secure posture.

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.
• 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.

Technologies and Tools

• SQL, ETL/ELT
• open-source, COTS, GOTS
• Kubernetes
• TypeScript, React, Python, FastAPI
• LanceDB, lance graph
• PostgreSQL
• Temporal.io
• Docker
• Angular, .NET C#
• MySQL
• Elasticsearch / OpenSearch
• RabbitMQ, Celery
• Redis / Valkey
• Microsoft SQL
• ABAC
• Air gapped, hybrid, on premise

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)
• 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#; MySQL; Elasticsearch / OpenSearch; ETL; Python; RabbitMQ; Celery; Redis / Valkey
• Databases (MySQL, Postgres, Microsoft SQL); provenance and end-to-end data lineage tracking
• Schema-aligned ingestion and normalization of diverse structured and unstructured data

Compensation and Location

• Location: Washington, DC (onsite)
• Salary: USD 155,000 - 165,000 per yearly

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 (with additional supplemental options)
• Company-paid Life and AD&D (with additional supplemental options)
• Generous Paid Time Off and ALL 11 Federal Holidays
• Legal and Identity Protection Services
• Bonuses for certifications and reimbursement
• 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

Company Information

Website: E-INFOSOL.com