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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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 Herndon, VA. This senior-level position involves designing and implementing robust data solutions that integrate backend systems with frontend applications, focusing on real-time data processing and analytics. You will build scalable data pipelines using cloud technologies, develop APIs for seamless data exchange, and create intuitive user interfaces for complex datasets. Proficiency in Python, Java, or JavaScript is essential, along with experience in databases like PostgreSQL and NoSQL solutions such as MongoDB. Familiarity with AWS services including S3, Lambda, and DynamoDB is highly desirable. The role demands a deep understanding of data security protocols and the ability to work on large-scale datasets within a classified 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 robust data pipelines for efficient data processing and analysis.
Create scalable databases and APIs to support real-time data access.
Optimize query performance and ensure data security and compliance.
Develop automated testing scripts to validate data integrity and system reliability.

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.
Familiarity with big data technologies such as Hadoop, Spark, and Kafka.
Excellent problem-solving abilities and attention to detail required.

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