Senior Data Engineer: Multi-Cloud, High-Throughput & Security

Dark Wolf Solutions, LLC; Herndon, Chantilly (VA, VA); On-site; USD 165,000 - 200,000; Full time

Job summary

Dark Wolf Solutions, LLC seeks an Expert Data Engineer to lead architectural development, scaling, and governance of enterprise-grade data platforms in air-gapped and multi-cloud networks. You will design high-throughput data meshes, automate data quality, and optimize distributed compute with Kubernetes-based deployments, while mentoring engineers and guiding Agile delivery.

Location: Chantilly/Herndon, VA; Salary range $165,000–$200,000 depending on expertise and certifications; US Citizenship

Qualifications

• Clearance: Must be a US Citizen holding an active TS/SCI security clearance with an active Full-Scope Polygraph.
• Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field (Master’s degree preferred).
• Experience: 7-10+ years of data engineering experience.
• Data Processing Frameworks: Expert-level mastery of Apache Spark, Flink, Kafka, Ray, and workflow orchestration engines.
• Database Systems: Deep understanding of distributed systems internals, LSM trees, column-family stores, and lakehouse storage formats (Delta Lake, Apache Iceberg, Apache Hudi).
• Data Modeling: Enterprise data strategy, conceptual-to-physical data modeling, and streaming data schema contracts.
• Programming & Scripting: Mastery of Python, Scala, SQL, and Go for high-performance data platform development.
• Containerization: Advanced Kubernetes cluster management, custom operators for data platforms, and service mesh integration.
• Agile Frameworks: Proven experience acting as a Technical Lead or Scrum Master directing engineering pods.
• Multi-Cloud Architecture: Advanced experience architecting multi-cloud and hybrid cloud data platform solutions (IaC via Terraform).
• Security Scanning Tooling: Deep understanding of DevSecOps pipelines, automated compliance testing, and secret rotation management.

Responsibilities

• Lead the architectural design and implementation of distributed, high-throughput batch and streaming data platforms.
• Optimize distributed execution engines (Spark, Flink, Kafka, Ray) to handle petabyte-scale datasets under strict SLAs.
• Implement Infrastructure as Code (IaC) 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.

Skills

TS/SCI clearance

US Citizenship

Python

Scala

SQL

Go

Kubernetes

Terraform

Agile leadership

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Master’s degree preferred

Tools

Apache Spark

Apache Flink

Kafka

Ray

Workflow orchestration engines

Delta Lake

Apache Iceberg

Apache Hudi

Terraform

Kubernetes operators

Job description

Dark Wolf Solutions, LLC seeks an Expert Data Engineer to lead architectural development, scaling, and governance of enterprise-grade data platforms in air-gapped and multi-cloud networks. You will design high-throughput data meshes, automate data quality, and optimize distributed compute with Kubernetes-based deployments, while mentoring engineers and guiding Agile delivery.

Location: Chantilly/Herndon, VA; Salary range $165,000–$200,000 depending on expertise and certifications; US Citizenship