Full-Stack Data Engineer (TS/SCI)

IBM

Quick summary

Work type
On-site
Location
MDReston, 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.

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)

We are seeking a full-stack data engineer with TS/SCI clearance to join our dynamic team at the senior level. This role involves designing and implementing robust data solutions that integrate backend systems with frontend applications, ensuring seamless data flow and efficient processing. You will work on building scalable data pipelines, developing APIs for data retrieval and analysis, and creating intuitive user interfaces for complex datasets. Proficiency in Python, Java, and JavaScript is essential, along with experience in databases like PostgreSQL and MongoDB, and familiarity with cloud platforms such as AWS or Azure. The position requires a deep understanding of cybersecurity protocols and the ability to handle sensitive data securely within a large-scale enterprise environment.

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.
  • Monitor system health, identify bottlenecks, and implement scaling strategies.

What we're looking for

  • Must have TS/SCI clearance.
  • Requires 5+ years of full-stack data engineering experience.
  • Proficient in Python, Java, and SQL for backend development.
  • Expertise in front-end technologies like React or Angular.
  • Experience with big data platforms such as Hadoop and Spark.
  • Strong knowledge of cloud services (AWS, Azure, GCP).
  • Ability to design and implement scalable data architectures.

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