2 months ago
Base Salary
$66k - $106k/yr
Responsibilities
- Onboard cybersecurity systems and data sources into the Cyber Event Data Node.
- Configure and maintain Cribl pipelines for collection, routing, parsing, transformation, enrichment, compression, filtering, and replay.
- Develop and maintain Databricks, Delta Lake, Python, SQL, and scripting solutions for ingestion, transformation, validation, and reporting.
- Map structured, semi-structured, and unstructured data into standardized schemas and security data models.
- Perform data-quality checks and troubleshoot ingestion failures, malformed events, schema changes, pipeline errors, and latency issues.
- Support integrations with Splunk Cloud, ServiceNow, Power BI, Tableau, and other authorized consumers.
- Apply metadata, tagging, access controls, and data-handling requirements in classified and unclassified environments.
- Monitor pipeline health, throughput, storage consumption, and processing performance.
- Create source-onboarding checklists, data-flow diagrams, interface documentation, configuration records, test plans, procedures, and troubleshooting guides.
- Participate in testing, validation, change management, configuration management, security authorization, and system development lifecycle processes.
- Collaborate with senior engineers, security engineers, data scientists, threat analysts, and mission stakeholders to deliver reliable data products.
- Provide knowledge transfer and basic technical guidance to data owners and platform users.
Requirements
- Bachelor’s degree in computer science, information systems, data science, cybersecurity, engineering, or a related technical field, plus 1–2 years of experience; four additional years of relevant experience may substitute for the degree.
- Possess or obtain and maintain one of the listed certifications: CCNA Security, CEH, CISSP, CySA+, GICSP, GSEC, Security+ CE, CND, or SSCP.
- Foundational experience with data engineering, data integration, ETL/ELT processes, application integration, or log-management technologies.
- Working knowledge of Python and SQL.
- Familiarity with JSON, CSV, XML, syslog, and API-delivered data.
- Understanding of databases, data lakes, data pipelines, schemas, metadata, and data lifecycle concepts.
- Basic knowledge of cloud computing and cloud storage services.
- Ability to analyze technical documentation, translate requirements into data-integration tasks, and document technical work clearly.
- Strong analytical, troubleshooting, organizational, communication, and collaboration skills.
- U.S. citizenship is required.
- Active Secret security clearance and ability to obtain a final Top Secret clearance.
- Preferred qualifications include Cribl, Databricks, Apache Spark, Delta Lake, Microsoft Azure, Azure Data Lake Storage, Splunk, ServiceNow, Power BI, Tableau, SIEM, SOAR, Git, Infrastructure as Code, DevSecOps, API integrations, high-volume event processing, relevant certifications, and federal or regulated-environment experience.
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 position is located in Beltsville, Maryland, or Washington, DC, allows occasional telework, and requires the candidate to be local to the work location.
- The role may include overtime, shift differential, and a discretionary bonus in addition to base pay.
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.