Senior-Level Data Engineer

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

Description For Senior-Level Data Engineer

VivSoft is seeking a Senior-Level Data Engineer to join their DoD team, focusing on building secure Software Factories and delivering cutting-edge solutions. The role involves designing and maintaining robust data pipelines and architectures that support advanced analytics and artificial intelligence initiatives across the Department of Defense.

As a Senior Data Engineer, you'll be responsible for optimizing data flows, ensuring data quality, and integrating various data sources to facilitate effective decision-making. The position requires expertise in big data technologies, cloud platforms, and programming languages like Python, Java, and SQL. You'll work in a collaborative environment with data scientists, analysts, and software engineers to deliver high-impact solutions.

The ideal candidate will have an active Top Secret clearance with SCI eligibility, at least 5 years of experience in data engineering, and a strong educational background in computer science or related fields. You'll be working in a hybrid environment in Arlington, VA, contributing to projects that solve complex federal problems using emerging and open technologies.

VivSoft offers an opportunity to work on meaningful projects that directly impact DoD, Healthcare, and Civilian Agencies. You'll be part of a diverse team of strategists, engineers, and creators who are experienced in building high-performance software solutions. This role is perfect for someone who wants to combine their technical expertise with national security initiatives while working in a collaborative and rewarding environment.

Last updated 2 months ago

Responsibilities For Senior-Level Data Engineer

  • Design and implement scalable data pipelines
  • Develop and maintain data architecture strategies
  • Collaborate with data scientists, analysts, and software engineers
  • Implement data quality checks and validation processes
  • Monitor and optimize data processing workflows

Requirements For Senior-Level Data Engineer

Python
Java
  • Active Top Secret (TS) clearance with Sensitive Compartmented Information (SCI) eligibility
  • Bachelor's degree in computer science, Data Engineering, Information Technology, or related field
  • Minimum of 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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