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Enterprise Data Engineer

Peraton

$86,000 - $138,000
Aug 26, 2025
Scott AFB, IL, USA
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Peraton is seeking a data-driven, highly skilled mind for an Enterprise Data Engineer role in the Joint Distribution Process Analysis Center (JDPAC) at United States Transportation Command (USTRANSCOM) to develop a data infrastructure that supports a wide variety of USTRANSCOM analyses and operations.

Requirements

  • Proficiency in developing data models, information architectures, and enterprise data ontologies.
  • Development experience with Cloud platforms and other distributed data structures.
  • Skills in architecting, developing, and implementing scalable data solutions that are optimized for their purpose and environment.
  • Proficiency in using Apache Spark, PySpark, Python, and SQL for data transformations.
  • Strong understanding of information systems, data warehouses, data marts, operational data stores, and ETL and MDM technologies.
  • Knowledge of back-end development and experience with SQL and NoSQL databases.
  • Significant experience with ontology development using the Palantir Foundry platform.

Responsibilities

  • Provide data engineering expertise to design, maintain, and optimize the data infrastructure for critical operations support areas such as time-series forecasting, aerial refueling analysis, and transportation demand and capacity planning.
  • Enable data collection, management, transformation, and access via data pipelines that convert raw data into usable formats for data scientists and other data consumers.
  • Develop, update, and design data schema and data ontologies to support transition into Palantir Foundry and maximize performance in that environment.
  • Optimize data flows from multiple sources into a distributed data storage framework by leveraging efficient, distributed data processing techniques including the use of PySpark.
  • Implement frequent data health checks and alerts to enhance data accuracy and consistency.
  • Design and implement scalable solutions that can handle large volumes of data.
  • Proactively model data to meet business requirements.

Other

  • Minimum of 8 years experience in data engineering, enterprise data architecture, or a related field with a BS/BA in Computer Science, Engineering, Information Management, Mathematics, or a related field from an accredited college or university;
  • U.S. citizenship required.
  • Ability to obtain a Secret security clearance (interim clearance required to commence task work).
  • Excellent ability to communicate with the customer, gather and understand their requirements, propose good solutions, and effectively demonstrate progress.
  • Must have demonstrated skill in reducing complex problems into manageable components