Full-Stack Data Engineer (TS/SCI)

IBM

Quick summary

Work type
On-site
Location
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 in Alexandria, VA. 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 work on building scalable data pipelines, developing APIs for data retrieval and manipulation, and creating intuitive user interfaces for data visualization. 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. Familiarity with machine learning frameworks and big data processing tools will be a significant advantage. This role addresses critical business needs by enhancing data accessibility and driving informed decision-making across various departments.

What you'll do

  • Design and develop full-stack data solutions to integrate various data sources.
  • Implement efficient data processing pipelines using cloud-based technologies.
  • Create robust APIs for seamless data exchange between front-end and back-end systems.
  • Optimize database performance and ensure data security compliance with TS/SCI standards.
  • Develop and maintain automated testing scripts for continuous integration environments.

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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