Full-Stack Data Engineer (TS/SCI)

IBM

Quick summary

Work type: On-site
Location: Reston, VA
Posted: 7 days ago
Nearby: 99+ 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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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 Ashburn, VA. 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 real-time data processing, and creating intuitive dashboards for complex datasets. The role requires expertise in Python, Java, SQL, and JavaScript, along with experience in cloud platforms like AWS or Azure. Knowledge of big data technologies such as Hadoop and Spark is essential. This position addresses critical business needs by optimizing data flow and enhancing decision-making capabilities within a large-scale enterprise environment.

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 efficient data processing pipelines using cloud-based technologies.
Create robust APIs for seamless data exchange between front-end and back-end systems.
Optimize database performance and ensure data security compliance with TS/SCI standards.
Develop automated testing scripts to validate the functionality of data applications.

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.js or Angular is essential.
Ability to work on classified projects requiring high security clearance.

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