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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How this pay compares to similar roles

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.

IBM currently has 951 open roles on FindRole.

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 Chantilly, VA. This senior-level position involves designing and implementing robust data solutions that integrate backend systems with frontend applications. You will work on building scalable data pipelines, developing APIs for efficient data retrieval and manipulation, and creating intuitive user interfaces for complex datasets. The ideal candidate should have expertise in Python or Java, proficiency in SQL databases, and experience with cloud platforms like AWS or Azure. Additionally, knowledge of big data technologies such as Hadoop and Spark is highly desirable. This role requires a deep understanding of cybersecurity and the ability to handle sensitive information securely within a large-scale enterprise environment.

Skills

Python SQL Docker Kubernetes AWS CI/CD Git PostgreSQL Redis Scikit-learn Pandas NumPy Flask React GraphQL

What you'll do

Design and develop full-stack data solutions to support complex analytics.
Integrate big data platforms with backend systems for efficient data processing.
Create scalable APIs to enable seamless data exchange between applications.
Implement robust security measures to protect sensitive data assets.
Optimize database performance by refining queries and indexing strategies.

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 API development.
Knowledge of big data technologies such as Hadoop, Spark, and Kafka.
Excellent problem-solving abilities and attention to detail.

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