Data Engineer
@ ECS Tech Inc

Fairfax, Virginia, United States
On Site
Full-time
Posted 7 days ago

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XXXXXXXXXX XXXXXXXXXXXXX XXXXXXXXXX*******@ecstechinc.com
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Job Details

Job Overview

ECS Tech Inc is seeking a Data Engineer to join their team in Fairfax, VA. This position is contingent upon contract award.

Project Details

This role supports the development of the next-generation Continuous Diagnostics and Mitigation (CDM) Cyber data solution. The project involves collecting, normalizing, visualizing, and sharing cyber data from over 100 Federal agencies using an integrated suite of COTS products, customized software, and configuration packages.

Key Responsibilities

  • Design and implement data interfaces and quality standards.
  • Develop scalable process frameworks to meet SLAs.
  • Collaborate with government partners and engineering teams.
  • Create and maintain Data Dictionaries and Catalogs.
  • Troubleshoot and remediate data quality issues.

Qualifications

  • Minimum 4 years of large-scale data engineering experience.
  • At least 3 years analyzing data engineering requirements.
  • Strong understanding of Federal Cybersecurity policies and frameworks (FISMA, NIST, FedRAMP, etc.).
  • U.S. Citizenship with the potential to obtain Public Trust.
  • Experience with data cataloging tools like Alation and Collibra.

Join a dynamic, fast-paced team operating under the Scaled Agile Framework (SAFe) with a continuous learning mindset focused on cybersecurity and data governance.

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How to Get Hired at ECS Tech Inc

🎯 Tips for Getting Hired

  • Research ECS Tech Inc: Understand their data and cyber mission.
  • Customize your resume: Emphasize data engineering achievements.
  • Prepare for SAFe: Review agile frameworks and methodologies.
  • Highlight technical expertise: Showcase data quality and governance skills.

📝 Interview Preparation Advice

Technical Preparation

Review data pipeline architectures.
Study data quality frameworks.
Practice SQL and schema design.
Understand federal cybersecurity standards.

Behavioral Questions

Describe a challenging data project.
Explain effective teamwork examples.
Share conflict resolution experiences.
Detail multi-team collaboration efforts.

Frequently Asked Questions