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 team in Bethesda, Maryland. This senior-level position involves designing and implementing robust data solutions that integrate backend systems with frontend user interfaces. You will work on building scalable data pipelines, developing APIs for data retrieval and manipulation, and creating intuitive dashboards for real-time analytics. The role requires expertise in Python, Java, SQL, and JavaScript, along with experience in cloud platforms like AWS or Azure. Familiarity with big data technologies such as Hadoop and Spark is a plus. This position addresses critical business needs by enhancing data accessibility and driving informed decision-making across the organization.

Skills

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

What you'll do

Design and develop full-stack data solutions to support complex analytics projects.
Integrate data from multiple sources using ETL processes for efficient data flow.
Implement robust data models and databases to ensure scalability and performance.
Develop APIs and web services to enable seamless data access and integration.
Optimize data storage and retrieval mechanisms to enhance system efficiency.

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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