Data Engineer with TS Clearance: Enterprise Pipelines & APIs

Peraton; Washington (District of Columbia); On-site; USD 150,000 - 210,000; Full time

Job summary

Peraton in Washington, DC seeks an experienced Data Engineer SME to lead design, development, and integration of enterprise data pipelines, APIs, and data-sharing services across complex environments.

You will collaborate with government stakeholders, data architects, and engineers to translate mission requirements into scalable data architectures, ensuring security, interoperability, and reliable data delivery across organizational boundaries.

Qualifications

• Bachelor's degree or equivalent in a technical discipline.
• 12+ years in data engineering, data integration, or software engineering with advanced degrees.
• Active TS or higher clearance required; ability to obtain Q/SCI.
• Experience designing and developing enterprise data pipelines and integration solutions.
• Strong experience with RESTful data exchange and data services.
• Experience with data ingestion, transformation, normalization, validation, and delivery.
• Strong SQL skills with relational/analytical databases.
• Hands-on programming in Python, Java, or Scala.
• Experience integrating disparate data sources and platforms.
• Understanding of data interoperability, data modeling, and data standards.
• Experience developing data mappings, schemas, and interface specs.
• Experience with structured and unstructured data.

Responsibilities

• Provide technical leadership as Data Engineering SME across organizations and programs.
• Design, develop, test, deploy, and maintain scalable data pipelines and integration solutions.
• Develop and implement APIs, data exchange services, and integration capabilities.
• Create interoperability solutions across diverse data sources, systems, and platforms.
• Support data-sharing initiatives with DOE partners and IC organizations.
• Translate mission requirements into data engineering architectures and implementation plans.
• Collaborate with government stakeholders to define data requirements and interface specs.
• Develop reusable data interfaces and integration capabilities for multiple missions.
• Implement data ingestion, transformation, validation, enrichment, and delivery processes.
• Work with structured, semi-structured, and unstructured data environments.
• Build data services for both operational and analytical use cases.
• Integrate customer data assets with enterprise and external environments.
• Develop data mappings, schemas, and transformation logic.
• Incorporate data quality, validation, and monitoring in pipelines.

Skills

Data engineering

RESTful APIs

SQL

Python/Java/Scala

Data integration

Cloud platforms

Education

Bachelor's degree in CS or related field

MS/MA preferred

PhD welcome

Tools

Apache Kafka

Spark

Databricks

Airflow

NiFi

API gateways

Job description

Peraton in Washington, DC seeks an experienced Data Engineer SME to lead design, development, and integration of enterprise data pipelines, APIs, and data-sharing services across complex environments.

You will collaborate with government stakeholders, data architects, and engineers to translate mission requirements into scalable data architectures, ensuring security, interoperability, and reliable data delivery across organizational boundaries.