SME - Data Engineer

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

Overview

Seeking a motivated, career and customer-oriented Data Engineer to join our team in Herndon VA. The Data Engineer will leverage their expertise with Python to support the customer’s data pipelines and related applications, from collection to ingestion, and ensure the integrity and security of data systems. You will play a critical role in delivering relevant and actionable cyber data to the right customers in a format that is normalized and actionable by cyber analysts and data scientists.

What will you do?

• Design, build, optimize, and maintain resilient data pipelines using Python, with a focus on data collection, ingestion, ETL, and analytics
• Develop and support complex data solutions, including data transformation, validation, and quality controls
• Integrate data from a variety of internal and external sources, including REST APIs, flat files, and structured/semi-structured formats
• Ensure data is available, accessible, reliable, and securely handled to meet stakeholder and operational needs
• Test, troubleshoot, and validate data movement, parsing, and transformation code across development and production environments
• Provide platform and production support, including debugging, root cause analysis, issue resolution, and ongoing maintenance
• Collaborate with cross-functional teams to deliver data products and help end users understand and effectively use analytics environments

Do you have what it takes?

• Active TS/SCI With Poly Required.

• High School Diploma and 5+ years’ experience with software development in Python

• Experience with data engineering

• Experience building and maintaining data pipelines, ETL processes, and ingestion workflows

• Experience with Git/GitHub or similar version control systems

• Experience with common data formats such as JSON, XML, CSV, and other structured or semi-structured data

• Experience working with Bash, Linux, and command-line tools in a development or production environment

PayRange: VTG’s estimated starting pay range is $180,000-$230,000 annually, which is a general guideline for the geographic location. When extending an offer, VTG also considers work experience, education, skill level, market considerations and may possibly include contractual requirements which may cause an offer to fall outside of this range.