Oracle Data Engineer: AI-Driven Modernization & Cloud

Peraton

Reston (VA)

On-site

USD 80,000 - 128,000

Full time

4 days ago

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Job summary

Peraton seeks an Oracle Database Engineer to support data modernization across major applications. You will design modern data architectures, build scalable ETL pipelines, and enable reliable data flows while applying AI-enhanced methodologies.

The role requires security clearance readiness and collaboration with cross-functional teams. The ideal candidate will migrate legacy data to modern architectures, implement governance, and deliver dashboards for insightful decision-making within a

Qualifications

5 years with BS/BA; 3 years with MS/MA; 0 years with PhD
Must be a U.S. Citizen
Must have active Public Trust
Experience in data engineering, data analytics, or related roles.
Expert-level proficiency with SQL and experience working with relational and NoSQL databases.
Experience building ETL/ELT pipelines and distributed data processing workflows.
Hands-on experience with at least one modern data engineering stack.
Experience with cloud platforms such as AWS, Azure, or OCI
Experience migrating data from legacy systems into modern architectures.
Knowledge of AI tools, technologies, and methodologies for business process modernization.
Excellent analytical, problem-solving, and communication skills.

Responsibilities

Assist with evaluating legacy data structures and designing modern data architectures.
Develop scalable data pipelines for ingestion, transformation, and distribution.
Create dashboards and analytic outputs to support modernization decisions.
Collaborate with architects, developers, analysts, and security teams in Agile environments.
Implement data validation, quality checks, and monitoring across pipelines.
Research and integrate AI-driven tools to enhance automation and testing processes.