At Peraton, we're at the forefront of delivering the next big thing every day. We're the partner of choice to help solve some of the world's most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

How do we do it? By thinking differently. We're not mired in the past. We look at all problems with fresh eyes. We look past the obvious to bring the best talent, tech, and ideas together to completely transform how things get done. So bring your unique ideas, your entrepreneurial spirit, and your drive to succeed and get ready to be part of something bigger. Get ready to do the can't be done.

Peraton is seeking a versatile Data & Business Analyst / Data Engineer to support the modernization of two existing enterprise business applications. This hybrid role bridges technical data engineering responsibilities with business analysis activities, ensuring that data, processes, and system capabilities are accurately understood, modernized, and aligned with business objectives. The ideal candidate can move fluidly between analyzing legacy workflows, translating business needs, developing data solutions, and supporting the migration to a modern architecture.

Responsibilities include:

Perform data profiling, discovery, and mapping across legacy systems.

Develop and maintain ETL/ELT pipelines and data models to support modernization.

Document data flows, lineage, and transformation rules.

Analyze business processes, gather requirements, and translate them into technical specifications.

Create user stories, process documentation, and acceptance criteria for Agile delivery.

Support data validation, reconciliation, and testing during migration.

Collaborate with stakeholders to define future-state data needs and workflows.

Produce dashboards, reports, and metrics to measure modernization progress.

Required Qualifications:

5 years with BS/BA; 3 years with MS/MA; 0 years with PhD, 9 years with HS Diploma

Strong SQL skills; experience with Python or similar languages.

Experience with ETL/ELT tools and cloud data platforms (AWS, Azure, or GCP).

Ability to document requirements and translate business needs into technical solutions.

Strong communication and stakeholder engagement skills.

Must be a US Citizen

Must have active Public Trust clearance

Analytical and detail-oriented with strong problem-solving skills.

Comfortable working across both technical and business domains.

Collaborative, adaptable, and effective in fast-paced modernization environments.

Preferred Qualifications:

Experience with application modernization or cross-system integration.

Familiarity with Agile/DevSecOps practices and workflow tools.

Knowledge of data governance, modeling, and analytics tools.