Full-Stack Data Engineer (TS/SCI)

IBM

Quick summary

Work type: On-site
Location: VA
Posted: 7 days ago
Nearby: 48 roles within 25 mi

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Similar $177k

$134k most similar roles pay here $220k

This listing doesn't post a salary. Most similar roles pay $142,400–$211,200.

Based on 240 similar postings.

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

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Listed pay typically runs $1,000,000–$1,000,000 across 11 roles with salary data.

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At a glance

TL;DR · Full-Stack Data Engineer (TS/SCI)

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We are seeking a Full-Stack Data Engineer with TS/SCI clearance to join our dynamic and innovative team in Catonsville, Maryland. This senior-level position involves designing and implementing robust data solutions that integrate front-end user interfaces with back-end databases and APIs. You will work on building scalable systems for handling large datasets, developing RESTful services, and creating intuitive dashboards using modern web technologies. The ideal candidate should have expertise in Python or Java, SQL, and JavaScript frameworks like React or Angular. Familiarity with cloud platforms such as AWS or Azure is essential, along with experience in data warehousing and ETL processes. This role addresses critical business needs by optimizing data flow and enhancing analytical capabilities for high-impact decision-making within a classified environment.

Skills

Python SQL Django Flask AWS RabbitMQ Redis Kafka PostgreSQL MongoDB CI/CD Git Docker Kubernetes

What you'll do

Design and develop full-stack data solutions to support complex analytics.
Integrate data from multiple sources for comprehensive analysis and reporting.
Optimize data pipelines for efficiency and scalability in real-time processing.
Implement robust security measures compliant with TS/SCI clearance requirements.
Develop APIs for seamless interaction between front-end applications and databases.

What we're looking for

Must have TS/SCI clearance.
Requires 5+ years of experience in full-stack data engineering.
Proficient in Python, Java, and SQL for backend development.
Experience with cloud platforms like AWS or Azure for data solutions.
Strong skills in data modeling, ETL processes, and database management.
Knowledge of front-end technologies such as React or Angular is essential.
Ability to work on classified projects requiring high security clearance.

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