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Dark Wolf Solutions

DevSecOps, security testing, and incident response.

Data Engineer - Expert

Data EngineeringConfirmed live in the last 24 hours
Full-timeHerndon, VA, USA$165k - $200kIn-person

About the Job

Requirements

  • Must be a U.S. citizen holding an active Top Secret/Sensitive Compartmented Information security clearance with an active Full-Scope Polygraph.
  • A bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field is required.
  • Seven to ten or more years of data engineering experience are required.
  • Expert-level mastery of Apache Spark, Flink, Kafka, Ray, and workflow orchestration engines is required.
  • Deep understanding of distributed systems internals, LSM trees, column-family stores, and lakehouse storage formats including Delta Lake, Apache Iceberg, and Apache Hudi is required.
  • Experience with enterprise data strategy, conceptual-to-physical data modeling, and streaming data schema contracts is required.
  • Mastery of Python, Scala, SQL, and Go for high-performance data platform development is required.
  • Advanced Kubernetes cluster management, custom operators for data platforms, and service mesh integration experience is required.
  • Experience acting as a Technical Lead or Scrum Master directing engineering pods is required.
  • Advanced experience architecting multi-cloud and hybrid cloud data platform solutions, including Infrastructure as Code using Terraform, is required.
  • Deep understanding of DevSecOps pipelines, automated compliance testing, and secret rotation management is required.

Responsibilities

  • Lead the architectural design and implementation of distributed, high-throughput batch and streaming data platforms.
  • Optimize distributed execution engines, including Spark and Trino/Presto, to handle petabyte-scale datasets under strict service-level agreements.
  • Implement Infrastructure as Code to provision data platform assets across multi-cloud infrastructure.
  • Establish zero-trust security controls, data lineage tools, and automated compliance scanning for regulated data environments.
  • Act as a Technical Pod Lead, driving Agile sprint deliverables, establishing technical standards, and mentoring data engineering staff.

Desired Qualifications

  • A master's degree is preferred.
  • AWS Certified Solutions Architect – Professional, CISSP, or Databricks Certified Professional Data Engineer certification is preferred.
  • A proven track record architecting data solutions for deployment in air-gapped or high-assurance defense networks is preferred.

About the Company

Dark Wolf Solutions

DevSecOps, security testing, and incident response.

Dark Wolf Solutions provides DevSecOps agile software development, information operations, penetration testing and incident response, applied research and rapid prototyping, machine learning, and mission support and engineering services to the Intelligence Community, national security, and Fortune 500 customers. It combines secure software development, cybersecurity testing, incident response, research, and ML to create tools and systems that meet mission requirements, with ongoing operational support. The company differentiates itself with deep federal domain expertise and end-to-end capabilities that span development to operations for government and large enterprises. Its goal is to help intelligence and security-focused organizations leverage new technologies while keeping systems secure and resilient.

Company size
201-500
Company stage
Grant
Total funding
$1.7M
Headquarters
Herndon, VA
Founded
2009

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