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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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 Reston, VA. This senior-level position involves designing and implementing robust data solutions that integrate backend systems with frontend applications, ensuring seamless data flow and efficient processing. You will build scalable data pipelines, develop APIs for data retrieval and manipulation, and create intuitive user interfaces for complex datasets. 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, focusing on large-scale data management and analytics for critical defense applications.

Skills

Python SQL Django Flask AWS RDS S3 Lambda CI/CD Git Kubernetes Terraform PostgreSQL Redis Docker

What you'll do

Design and develop full-stack data solutions to integrate various data sources.
Implement robust data pipelines for efficient data processing and analysis.
Create scalable databases to store and manage large datasets securely.
Develop APIs to enable seamless communication between front-end and back-end systems.
Optimize query performance and ensure data integrity across all platforms.

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 big data technologies.
Knowledge of front-end frameworks such as React or Angular is preferred.
Ability to work on classified projects requiring high security clearance.

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