Full-Stack Data Engineer (TS/SCI)

IBM

Quick summary

Work type: On-site
Location: Reston, VA
Posted: 8 days ago
Nearby: 99+ roles within 25 mi

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Similar $177k

$134k most similar roles pay here $219k

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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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 McLean, VA. This senior-level position involves designing and implementing robust data solutions that integrate backend systems with frontend user interfaces, focusing on scalability and security. You will build and maintain complex data pipelines, develop APIs for seamless data exchange, and create intuitive dashboards for real-time analytics. Proficiency in Python, Java, or JavaScript is essential, along with experience in SQL databases, NoSQL technologies like MongoDB, and cloud platforms such as AWS or Azure. The role requires a deep understanding of data security protocols and the ability to work within highly regulated environments, ensuring compliance with strict data handling standards.

Skills

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

What you'll do

Design and develop full-stack data solutions to integrate various data sources.
Implement robust data pipelines for real-time and batch processing needs.
Optimize database performance and ensure data integrity across systems.
Develop APIs and microservices to support front-end applications efficiently.
Conduct code reviews and mentor junior engineers on best practices.

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 is essential.
Strong skills in data modeling, ETL processes, and big data technologies.
Knowledge of front-end frameworks such as React or Angular is required.
Ability to work on classified projects within a secure environment.

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