Junior Data Engineer – Secure Pipelines (TS/SCI)

Dark Wolf

Herndon (VA)

In loco

USD 78.000 - 130.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Dark Wolf is hiring a Junior / Entry-Level Data Engineer to build and monitor scalable data pipelines in secure environments. You will ingest, clean, and transform data, work with senior engineers, and ensure data quality for mission-critical applications.

Responsibilities include ETL/ELT development, data ingestion, profiling, and containerized deployment with Docker. The role requires TS/SCI clearance and a relevant degree, with 0–4+ years’ experience.

Competenze

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

Mansioni

  • Assist with constructing and maintaining ETL/ELT pipelines using Python and SQL.
  • Support data ingestion from structured and unstructured sources into relational and non-relational databases.
  • Perform basic data profiling, quality checks, and schema validation.
  • Build, run, and maintain application modules using Docker for deployment.
  • Execute automated security scanning tools and perform unit tests to ensure code quality and compliance.
  • Participate actively in daily Agile activities, code reviews, and backlog refinement sessions.

Conoscenze

Python
SQL
Bash
Docker
Agile

Formazione

Bachelor's degree in CS/IS/Engineering
Master’s degree preferred

Strumenti

Docker
PostgreSQL
SonarQube
Apache Spark
Pandas

Descrizione del lavoro

Dark Wolf is hiring a Junior / Entry-Level Data Engineer to build and monitor scalable data pipelines in secure environments. You will ingest, clean, and transform data, work with senior engineers, and ensure data quality for mission-critical applications.

Responsibilities include ETL/ELT development, data ingestion, profiling, and containerized deployment with Docker. The role requires TS/SCI clearance and a relevant degree, with 0–4+ years’ experience.

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