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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data engineering and integration, with strong capabilities in Python, SQL, and data pipeline development. Proficient in managing data quality, onboarding processes, and collaborating with cross-functional teams to deliver reliable data products.
Highest-signal resume keywords
Python ProgrammingSQL DevelopmentData Pipeline DevelopmentCribl ConfigurationData Quality Assurance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringETL/ELT ProcessesData IntegrationData MappingData NormalizationData Quality ControlsCloud ComputingMetadata ManagementScripting SolutionsData Lifecycle Concepts
Soft Skills
Analytical SkillsTroubleshooting SkillsOrganizational SkillsCommunication SkillsCollaborative Work
Tools & Technologies
Cribl StreamDatabricksApache SparkDelta LakeSplunkServiceNowPower BITableauMicrosoft AzureGit
Certifications & Qualifications
CCNA SecurityCEHCISSPCySA+GICSPGSECSecurity+ CECNDSSCPDatabricks Certified Data Engineer Associate
Industry Keywords
CybersecurityData OnboardingLog ManagementHigh-Volume Event ProcessingRegulated EnvironmentFederal GovernmentDepartment of DefenseIntelligence CommunitySecurity TelemetryAccess Controls
Tech Stack
Tools & technologiesApacheAzureCloudCyber SecurityDNSETLFirewallsNode.jsPythonServiceNowSparkSplunkSQLTableau
About the role
Key responsibilities & impact- Support onboarding new cybersecurity systems and data sources into the Cyber Event Data Node (CEDN) environment
- Work with system owners, cybersecurity analysts, architects, and engineers to identify source data, collection requirements, formats, schemas, volumes, retention needs, and downstream use cases
- Configure and maintain Cribl pipelines for data collection, routing, parsing, transformation, enrichment, compression, filtering, and replay
- Assist with developing and maintaining Databricks data pipelines supporting raw, enriched, and normalized data layers within Delta Lake
- Develop and maintain Python, SQL, and scripting solutions to automate data ingestion, transformation, validation, and reporting
- Map structured, semi-structured, and unstructured data into standardized schemas and security data models
- Conduct data-quality checks for completeness, accuracy, timeliness, formatting, and successful downstream delivery
- Troubleshoot ingestion failures, malformed events, schema changes, pipeline errors, latency, and other data-flow 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; help identify optimization opportunities
- Develop and maintain source-onboarding checklists, data-flow diagrams, interface documentation, configuration records, test plans, standard operating procedures, and troubleshooting guides
- Participate in testing and validation before new data sources are released into production
- Work within change-management, configuration-management, security authorization, and system development lifecycle processes
- Collaborate with senior data engineers, security engineers, data scientists, threat analysts, and mission stakeholders to translate operational needs into reliable data products
- Support knowledge transfer and provide basic technical guidance to data owners and platform users
- Support Peraton’s Department of State Diplomatic Security Cyber Mission program, protecting government infrastructure, systems, information, and mobile devices from cyber risks and threats
Requirements
What you’ll need- Bachelor’s degree in computer science, information systems, data science, cybersecurity, engineering, or a related technical field and 1–2 years of experience; four additional years of relevant experience may be substituted in lieu of a degree
- Possess or obtain prior to start, and maintain one of the following 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 structured and semi-structured data formats, including 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 and translate system requirements into actionable data-integration tasks
- Ability to document configurations, testing results, data mappings, technical procedures, and operational issues clearly
- Strong analytical, troubleshooting, organizational, and communication skills
- Ability to work collaboratively while managing multiple assignments and established deadlines
- Ability to learn new platforms and technologies through hands-on work, formal training, and mentorship
- U.S. citizenship required
- An active Secret security clearance, with the ability to obtain a final Top Secret clearance
- Preferred/Desired: experience or training with Cribl Stream, Cribl Edge, or a comparable log-routing and observability pipeline platform
- Preferred/Desired: experience or training with Databricks, Apache Spark, Delta Lake, notebooks, or lakehouse architectures
- Preferred/Desired: familiarity with Microsoft Azure, Azure Data Lake Storage, or similar cloud data services
- Preferred/Desired: exposure to Splunk, ServiceNow, Power BI, Tableau, SIEM, SOAR, or other cybersecurity analytics platforms
- Preferred/Desired: familiarity with Git, CI/CD pipelines, Infrastructure as Code, or DevSecOps practices
- Preferred/Desired: understanding of security telemetry from firewalls, endpoints, DNS, authentication services, cloud platforms, email, VPNs, proxies, NetFlow, or packet-capture systems
- Preferred/Desired: familiarity with data normalization models, data-quality controls, and role-based access controls
- Preferred/Desired: experience supporting data-source onboarding, API integrations, or high-volume event-processing environments
- Preferred/Desired: Databricks Certified Data Engineer Associate, Cribl Certified User, Microsoft Azure certification, or ability to obtain a relevant certification within six months of hire
- Preferred/Desired: experience supporting the Federal Government, Department of Defense, intelligence community, or another regulated environment
Benefits
Comp & perks- Flexible for occasional telework
- Employees may be eligible for overtime
- Employees may be eligible for shift differential
- Employees may be eligible for a discretionary bonus