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 team in Hampton, Virginia. 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 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 addresses critical business challenges by enabling real-time analytics and enhancing decision-making processes within a high-scale environment.

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 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 and analytics tools.
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 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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