Mid-Level Data Engineer

VivSoft builds secure Software Factories for DoD, focusing on AI/ML Applications, Data Science Platforms, Blockchain and Microservices for DoD, Healthcare and Civilian Agencies.
Data
Mid-Level Software Engineer
Hybrid
5+ years of experience
AI · Blockchain · Enterprise SaaS

Description For Mid-Level Data Engineer

VivSoft is seeking a Mid-Level Data Engineer to join their DoD team, focusing on building and maintaining data pipelines and architectures for AI-enabled applications. The company specializes in solving complex federal problems using emerging technologies, building secure Software Factories based on DoD reference designs and NIST Frameworks for Cloud and DevSecOps.

The role requires an experienced professional with 5 years in data engineering, capable of designing and implementing robust data pipelines, ensuring data quality, and supporting advanced analytics initiatives. The ideal candidate will have an active Top Secret clearance with SCI eligibility and strong technical skills in Python, Java, SQL, and big data technologies.

Working in a hybrid environment, you'll collaborate with data scientists and analysts to integrate data from various systems, monitor performance, and maintain comprehensive documentation. This position offers the opportunity to work on impactful projects for the Department of Defense, Healthcare, and Civilian Agencies.

The role combines technical expertise with problem-solving skills, requiring both hands-on development and strategic thinking. You'll be part of a diverse team of strategists, engineers, and designers, working in a collaborative environment that values innovation and technical excellence. This is an excellent opportunity for a data professional looking to make a significant impact in federal technology projects.

Last updated 2 months ago

Responsibilities For Mid-Level Data Engineer

  • Design, implement, and optimize data pipelines to ingest, process, and store diverse datasets
  • Collaborate with data scientists to integrate data from various systems
  • Monitor data processing workflows to ensure optimal performance
  • Implement data quality checks and validation processes
  • Develop and maintain comprehensive documentation for data architectures

Requirements For Mid-Level Data Engineer

Python
Java
  • Active Top Secret (TS) clearance with SCI eligibility
  • Bachelor's degree in computer science, Data Engineering, IT, or related field
  • 5 years of experience in data engineering
  • Experience with big data technologies (Apache Spark, Hadoop)
  • Familiarity with cloud platforms (AWS, Azure)
  • Proficiency in Python, Java, or Scala and SQL
  • Strong understanding of data modeling concepts
  • Excellent problem-solving skills

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