Cybersecurity Analytics Engineer

Overview

Lafayette Group is seeking experienced professionals to provide advanced consulting support for federal cybersecurity programs. The Cybersecurity Analytics Engineer is an experienced, collaborative team member who shares our passion for supporting cybersecurity, has an innate curiosity to learn, and drives to excel with a team of like-minded colleagues in a dynamic environment. This role provides thought-leadership, technical support, and data analytics services across a broad portfolio of cybersecurity and risk management programs.

This position is ideal for candidates with a blend of experience in data extraction and transformation, data analysis, and infrastructure optimization, combined with strong consulting skills.

• Design, build, and maintain modular, maintainable data pipelines for data ingestion and transformation in Python
• Develop and maintain data pipelines for analytics and reporting in Python, SQL, or Power Query
• Optimize data storage and retrieval by leveraging Parquet columnar format using Python
• Utilize Jupyter Notebooks to accomplish tasks such as exploratory data analysis, prototyping data transformations, and validating data pipeline outputs
• Query data using Python and SQL to support ad-hoc business requests and identify actionable insights
• Work with diverse data formats including relational databases, structured files, and unstructured data
• Analyze and manage diverse data sets to improve federal and national risk insights; understand how partner organizations receive and use information from the client to drive down cyber risk
• Develop and deliver high-quality products (e.g., reports, briefings, demos, presentations) for data projects, tailored to the stakeholder audience
• Provide reports that organize data analysis in a consumable format for stakeholders, including interactive data visualizations and infographics.
• Provide advice and guidance on data analysis, processing, and data cleansing activities using innovative tools and approaches to organize qualitative and quantitative data for analysis.
• Ability to take initiative and work independently while maintaining excellent communication with project leadership.

• Bachelor's or Masters' degree in computer science, information systems management, mathematics, engineering, or other relevant discipline.
• 6+ years of professional experience in business intelligence, data analytics, or similar roles.
• Advanced Python skills for building modular, maintainable ETL pipelines purely in Python
• Experience with Jupyter Notebooks
• Experience writing and reading Parquet files using Pandas and PyArrow or Fast Parquet
• Ability to understand and translate SQL/Postgres-based logic into Python-based workflows
• Ability to work with a variety of structured and unstructured data formats
• Strong grasp of data architecture and performance optimization (partitioning, compression, schema design)
• Experience collaborating with BI teams to deliver data models that meet reporting requirements
• Ability to query created data and provide ad-hoc reporting
• Possession of excellent oral and written communication skills; demonstrated ability to clearly communicate technical concepts to both technical and non-technical users.

• Experience with data validation/testing frameworks
• High-level understanding of Power BI consumption needs and data formats
• US citizenship with the ability to obtain and maintain DHS Suitability (EOD).
• Prior consulting or program support experience with DHS, CISA, or other federal cybersecurity organizations.

Location: Hybrid (Arlington, VA);
Remote

Salary Range: $80,000-$115,000

Federal Contracts: This position involves working on federal contracts that require all workers on the contract to be U.S. Citizens. Additionally, some contracts may require the ability to obtain a security clearance.

EEO notice: LGI is committed to the full inclusion of all qualified individuals. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed, please contact  This email address is for accommodation requests only. Non-related messages will be disregarded.