Entry-Level Data Engineer (TS/SCI Cleared) Secure Pipelines

BuddoBot Inc.

Chantilly (VA)

On-site

USD 90,000 - 130,000

Full time

8 days ago

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Job summary

Dark Wolf in Chantilly, VA is seeking a Junior / Entry-Level Data Engineer to help develop, maintain, and monitor scalable data pipelines in secure environments. You will work with senior data architects and engineers to ingest, clean, and transform datasets while ensuring data quality and system reliability for mission-critical applications.

You will build and run ETL/ELT pipelines using Python and SQL, assist data ingestion from various sources into relational and NoSQL databases, and

Qualifications

  • US Citizenship with active TS/SCI clearance and Full-Scope Polygraph.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (Master's preferred).
  • 0–4+ years of data engineering experience.

Responsibilities

  • Assist with constructing and maintaining ETL/ELT pipelines using Python and SQL.
  • Ingest data from structured and unstructured sources into databases.
  • Perform basic data profiling, quality checks, and schema validation.
  • Build, run, and maintain Docker-based deployment modules.
  • Execute automated security scans and unit tests for code quality and compliance.
  • Participate in daily Agile activities, code reviews, and backlog refinement.

Skills

SQL
Python
Bash scripting
Agile
Scrum
Kanban
Docker
PostgreSQL
NoSQL concepts
AWS
Azure
SonarQube

Education

Bachelor's degree in Computer Science/Information Systems/Engineering
Master's degree preferred

Tools

Docker
PostgreSQL
AWS
Azure
SonarQube

Job description

Dark Wolf in Chantilly, VA is seeking a Junior / Entry-Level Data Engineer to help develop, maintain, and monitor scalable data pipelines in secure environments. You will work with senior data architects and engineers to ingest, clean, and transform datasets while ensuring data quality and system reliability for mission-critical applications.

You will build and run ETL/ELT pipelines using Python and SQL, assist data ingestion from various sources into relational and NoSQL databases, and

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