# Data Engineer - Expert

**Company**: Dark Wolf
**Location**: Chantilly, VA
**Experience**: senior
**Job type**: full-time
**Salary**: $165,000.00 – $200,000.00
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/darkwolfsolutions/jobs/7886200003?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_91f3cdbe-8bd

## Description

Dark Wolf is seeking an Expert Data Engineer to lead the architectural development, scaling, and governance of enterprise-grade data platforms.

You will be responsible for designing high-throughput data meshes, establishing automated data quality frameworks, optimizing distributed compute clusters, and ensuring high resilience across air-gapped and multi-cloud networks.

Key Responsibilities:

- Lead the architectural design and implementation of distributed, high-throughput batch and streaming data platforms.

- Optimize distributed execution engines (Spark, Trino/Presto) 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.

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.

Technical Competencies:

- 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.

Desired Qualifications:

- Advanced Certifications: AWS Certified Solutions Architect – Professional, CISSP, or Databricks Certified Professional Data Engineer.

- Proven track record architecting data solutions for deployment in air-gapped or high-assurance defense networks.

Target Salary Range: $165,000.00 – $200,000.00 (Commensurate with specialized expertise and technical skillset).

## Skills

### Required
- Apache Spark
- Flink
- Kafka
- Ray
- Kubernetes
- Terraform
- Python
- Scala
- SQL
- Go
- Delta Lake
- Apache Iceberg
- Apache Hudi

### Nice to have
- AWS Certified Solutions Architect – Professional
- CISSP
- Databricks Certified Professional Data Engineer

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/darkwolfsolutions/jobs/7886200003?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)