Cyber Data Engineer: Python ETL & Pipelines

Vosper Thornycroft Group; Herndon (VA); Hybrid; USD 180,000 - 230,000; Full time

Job summary

Vosper Thornycroft Group is seeking a Data Engineer in Herndon, VA to design and optimize data pipelines using Python. You will collect, ingest, transform, and validate data from diverse sources, ensuring secure handling and reliable access for analysts and data scientists.

The role requires 5+ years of Python development and TS/SCI with Poly. You will work with REST APIs, JSON/XML/CSV formats, and Linux Bash in a production environment, delivering robust data products and analytics capabilities.

Qualifications

• Active TS/SCI with Poly required.
• 5+ years of Python software development.
• Experience with data engineering.
• Experience building and maintaining data pipelines, ETL processes, and ingestion workflows.
• Experience with JSON, XML, CSV formats.
• Experience with Bash/Linux in development or production environments.

Responsibilities

• Design, build, optimize, and maintain data pipelines using Python focusing on collection, ingestion, ETL, and analytics.
• Develop and support data solutions including data transformation, validation, and quality controls.
• Integrate data from internal and external sources, including REST APIs and structured/semi-structured formats.
• Ensure data is available, accessible, reliable, and securely handled to meet stakeholder needs.
• Test, troubleshoot, and validate data movement and transformation code across environments.
• Provide platform and production support, including debugging and root-cause analysis.
• Collaborate with cross-functional teams to deliver data products and help end users understand analytics environments.

Skills

Python

Data engineering

Data pipelines

ETL

Data quality controls

Analytics

Education

High School Diploma

Tools

Git/GitHub

Job description

Vosper Thornycroft Group is seeking a Data Engineer in Herndon, VA to design and optimize data pipelines using Python. You will collect, ingest, transform, and validate data from diverse sources, ensuring secure handling and reliable access for analysts and data scientists.

The role requires 5+ years of Python development and TS/SCI with Poly. You will work with REST APIs, JSON/XML/CSV formats, and Linux Bash in a production environment, delivering robust data products and analytics capabilities.