2 months ago
Base Salary
$146k - $234k/yr
Responsibilities
- Provide technical leadership as a Data Engineering SME across customer organizations, mission areas, and data-sharing initiatives.
- Design, develop, test, deploy, and maintain scalable data pipelines and data integration solutions.
- Develop APIs, data exchange services, integration services, and data interfaces for secure and reliable data sharing.
- Design interoperability solutions across disparate data sources, systems, applications, platforms, and organizations.
- Implement data ingestion, transformation, normalization, validation, enrichment, delivery, monitoring, and error-handling processes.
- Develop and maintain data mappings, schemas, data models, interface specifications, transformation logic, architecture diagrams, and implementation documentation.
- Translate customer and mission requirements into data engineering architectures, integration patterns, pipelines, and technical implementation plans.
- Support DOE, Intelligence Community, and SIPP data-sharing and technical integration initiatives.
- Evaluate existing integration capabilities and recommend modernization, standardization, optimization, and reusable data services.
- Collaborate with data architects, data scientists, analysts, software developers, cybersecurity personnel, government stakeholders, and mission partners.
- Support testing, validation, troubleshooting, deployment, sustainment, and compliance with security, classification, governance, and customer requirements.
Requirements
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, Mathematics, Engineering, or a related technical discipline, with equivalent experience considered.
- At least 12 years of relevant experience, or at least 10 years with a master's degree or 7 years with a Ph.D.
- Active TS or Q clearance or higher is required, with ability to obtain Q/SCI.
- Demonstrated experience designing and developing enterprise data pipelines and integration solutions.
- Strong experience developing and consuming RESTful APIs, data services, or other application and data exchange interfaces.
- Strong SQL skills and experience with relational and/or analytical databases.
- Experience with Python, Java, Scala, or other modern data engineering programming languages.
- Experience integrating disparate data sources, systems, applications, and platforms, including structured and unstructured data.
- Understanding of data interoperability, data exchange, data modeling, data standards, and data-sharing concepts.
- Experience creating interface specifications, data mappings, schemas, and integration documentation.
- Ability to translate mission and business requirements into technical solutions and work across multiple organizations and stakeholder groups.
- Strong analytical, problem-solving, communication, technical documentation, independent-work, and multidisciplinary collaboration skills.
- Preferred qualifications include experience with the Intelligence Community, Department of Energy, SIPP programs, government or enterprise interoperability frameworks, API gateways, integration platforms, cloud data engineering, data lakes, data warehouses, data lakehouses, distributed data architectures, Apache Kafka, Spark, Databricks, Airflow, or NiFi.
Benefits
- Eligible employees may receive medical, dental, vision, life, health savings account, short- and long-term disability, EAP, parental leave, 401(k), paid time off, and company-paid holidays.
- The target base salary range is $104,000-$166,000, with possible overtime, shift differential, and discretionary bonus eligibility.
- The application period is estimated at 30 days from the posting date but may change based on business needs and candidate availability.
- The role supports a classified U.S. Government contract and requires an active TS or Q clearance or higher.
Tech Stack
Categories
Data Engineering
About Peraton
Peraton builds and integrates mission systems, cyber, space, and intelligence solutions for U.S. defense, intelligence, and civil agencies. It delivers enterprise IT, satellite and terrestrial communications, and spectrum management under government contracts. Founded in 2017, the company is headquartered in Reston, Virginia and is privately held by Veritas Capital.