Data Engineer

Signature Federal Systems , LLC; Herndon (VA); On-site; USD 105,000 - 145,000; Full time

Job summary

Signature Federal Systems, LLC is seeking a Data Engineer in Herndon, VA. You will design, build, and maintain Python-based data pipelines supporting data collection, ingestion, ETL, and analytics to deliver actionable cyber data to analysts.

The role requires strong Python development, data engineering experience, and familiarity with REST APIs, JSON/XML/CSV formats, and Linux tooling. Team collaboration and production support are essential.

Qualifications

• High School Diploma required with 5+ years of Python software development experience.
• Experience with data engineering and building data pipelines, ETL, 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 data.
• Experience with Bash, Linux, and command-line tools in development or production environments.

Responsibilities

• Design, build, optimize, and maintain data pipelines using Python for collection, ingestion, ETL, and analytics.
• Develop and support data solutions including transformation, validation, and quality controls.
• Integrate data from internal and external sources (REST APIs, flat files, structured/semi-structured data).
• Ensure data is accessible, reliable, and securely handled to meet stakeholder needs.
• Test, troubleshoot, and validate data movement and transformation code across environments.
• Provide production support, debugging, and ongoing maintenance.
• Collaborate with cross-functional teams to deliver data products and enable analytics users.

Skills

Python

Data engineering

ETL

REST APIs

Git

Linux

Data pipelines

Education

Bachelor's degree

High School Diploma

Tools

GitHub

Linux

Job description

Data Engineer

Location – Herndon, VA

Job Description:

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.

• 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

Minimum Qualifications:

• 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

Desired Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics or related technical field of study.
• 3+ years of experience in a data engineer role with a technology company.
• Experience working in large data warehouse environments.
• Experience conducting large scale and complex data analysis to support data centric architecture.
• Experience using Python, R, Java, JavaScript, AngularJS, .NET, Hadoop, and Apache and other related technologies.