Cyber Data Capabilities Developer

Peraton•Fort Meade, MD

8d•$135,000 - $216,000•Onsite

About The Position

Peraton seeks a Cyber Data Capabilities Developer to support DCDC by developing, testing, and maintaining software capabilities for big data processing and cyberspace data analysis. The role is located in Fort Meade, Maryland. The developer creates software that transforms cyberspace operations telemetry into analytic outputs, including applications, analytic services, reusable libraries, and operational data pipelines. The work includes processing high-volume datasets and supporting the reliability, performance, and recoverability of software systems.

Requirements

Minimum experience: 8 years with a BS/BA, 6 years with an MS/MA, 3 years with a PhD, 12 years with a high school diploma, or 10 years with an associate degree.
Professional software development experience, including responsibility for designing, delivering, and maintaining production software.
Production coding proficiency in at least two programming languages, including Python or another language suited to data processing, and demonstrated SQL proficiency.
Experience with Git-based distributed version control and collaborative development workflows, using GitLab or an equivalent platform.
Experience with software architecture, data structures, algorithms, debugging, automated testing, code review, and secure software development.
Experience developing or integrating software for large datasets, distributed processing, databases, data pipelines, APIs, or streaming systems.
Working knowledge of TCP/IP, DNS, HTTP/S, network and host telemetry, security events, cyber threats, and the operational context of defensive and offensive cyberspace missions.
Ability to meet applicable DoD 8140 work-role qualification requirements; primary alignment is DoD Cyber Workforce Framework Software Developer (621).
U.S. citizenship.
Active TS clearance with the ability to obtain and maintain SCI.

Nice To Haves

Direct support to defensive or offensive cyberspace operations, cyber mission teams, detection engineering, threat hunting, incident response, or adversary emulation.
Hands-on development with Scala, R, Julia, C++, Go, Rust, Java, TypeScript, C#, or other compiled, interpreted, systems, and analytical languages.
Knowledge and skill in Apache Spark, Kafka, Flink, Hadoop, distributed SQL engines, graph databases, columnar data formats, and high-volume event processing.
Proficiency with cloud and container platforms, Linux, Docker, Kubernetes, infrastructure as code, GitLab CI/CD, automated deployment, and DevSecOps workflows.
Familiarity with statistical computing, machine learning, model integration, feature engineering, graph algorithms, or AI-assisted development with validation and human review.
Proficiency in data quality controls, schema evolution, telemetry provenance, time-series analysis, and performance tuning for large cyber datasets.
Experience with the JCWA Common Runtime Stack for Data (JCRS-D), Caspian, or comparable DoW cyber data environments.
Technical leadership in Agile teams and experience supporting Joint, Service, DoD, or Cyber Mission Force organizations.

Responsibilities

Design and deploy software applications, analytic services, reusable libraries, and analytic pipelines for operational data.
Refactor and optimize code in languages such as Python, SQL, Scala, R, Julia, C, C++, Go, Rust, Java, JavaScript/TypeScript, C#, Bash, and PowerShell.
Develop batch and streaming functions for data ingestion, parsing, normalization, enrichment, correlation, indexing, and querying.
Design and integrate APIs, microservices, data interfaces, and event-driven services; produce software designs, API specifications, data schemas, and interface documentation.
Use Git-based distributed version control and maintain GitLab repositories, merge requests, code-review records, and release artifacts.
Conduct code reviews and document automated tests, test results, code scans, defect remediation, and performance benchmarks.
Profile and improve compute, memory, storage, query, and network performance for high-volume datasets.
Address software reliability, fault tolerance, observability, and recoverability.