Full-Stack Data Engineer (TS/SCI)

IBM

Quick summary

Work type
On-site
Location
Reston, VA
Posted
7 days ago

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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.

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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)

We are seeking a full-stack data engineer with TS/SCI clearance to join our dynamic and innovative team in Washington, DC. This mid-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. Knowledge of machine learning frameworks and big data processing tools will be highly beneficial. The role focuses on enhancing our intelligence platform to support real-time analytics and predictive modeling for national security applications, requiring a deep understanding of both technical architecture and domain-specific challenges.

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 efficiently.
  • 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 for data solutions.
  • 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 experience with agile methodologies.

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IBM

Reston, VA 7 days ago
Python SQL Django Flask AWS RabbitMQ Kafka Redis PostgreSQL MongoDB Git GitHub Jenkins CI/CD Docker Kubernetes Terraform Prometheus Grafana