Data Engineer

E-Infosol LLC; Washington (District of Columbia); Sur place; USD 155 000 - 165 000; Plein temps

Avantages offerts par ce poste

Medical premiums

Dental & Vision

401k match

HSA/FSA

Disability insurance

Life & AD&D

PTO & 11 federal holidays

Résumé du poste

E-Infosol LLC seeks a Data Engineer to power advanced visual analytic applications in a Washington, DC onsite environment. You will design and deliver data pipelines and enterprise database solutions driving high-performance analysis across structured and semi-structured data, while promoting secure data practices and mentoring teammates.

The role demands a strong background in relational database design, SQL, ETL/ELT, and experience with mixed-technology, HPC environments.

Qualifications

• Active Top-Secret clearance required.
• Bachelor’s degree in a technical field or equivalent experience.
• Minimum 8 years of data engineering or related experience.
• Strong SQL, relational database design, and ETL/ELT skills.
• Experience with structured and semi-structured data and visualization tools.
• Familiarity with high-performance computing in mixed-technology environments.

Responsabilités

• Develop data processing workflows and analytics for desktop and web visualization tools.
• Support large-scale relational data analysis and secure data practices.
• Build secure data ingest pipelines using diverse technologies.
• Design and optimize enterprise relational databases and security standards.
• Integrate new data systems with data warehouses and improve performance.
• Mentor junior team members and contribute to system optimization.

Connaissances

SQL

ETL/ELT

Relational DB design

High-performance computing

Structured data

Visualization technologies

Formation

Bachelor’s degree

Outils

SQL

ETL/ELT

Kubernetes

TypeScript

React

Python

FastAPI

LanceDB

PostgreSQL

Temporal.io

Docker

Angular

.NET C#

MySQL

Elasticsearch / OpenSearch

RabbitMQ

Celery

Redis / Valkey

Microsoft SQL

Description du poste

E-Infosol LLC is seeking a Data Engineer to help power advanced visual analytic applications in a Washington, DC onsite environment. In this role, you will design and deliver data pipelines and enterprise database solutions that support high-performance analysis across structured and semi-structured data, while contributing to secure data practices and mentoring teammates.

The position requires a strong background in relational database design, SQL, and ETL/ELT, along with experience working in mixed-technology and high-performance environments. An active Top-Secret clearance is required, with the ability to obtain SCI/CI Poly if needed to satisfy contract requirements.

What you’ll do

• 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 operational and security standards.
• Integrate new data systems with existing data warehouses and improve performance and functionality.
• Mentor junior team members 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 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 you may work with

• 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.

Additional 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#, Database (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

Compensation and location

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

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

About E-Infosol LLC

• Website: E-Infosol.com
• Awards: SBA 8(a) Certified, SDVOSB, GSA Contract Holder, Inc. 5000