Data Engineer Senior Principal
Manager
Senior
Analytics
Apache Airflow
Azure
Big Data
Bigdata
Business Intelligence
Cloud
Cloud Infrastructure
Cloud Native
Cloud Operations
Cloud Platform
Cloud Platforms
Cloud Technology
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Visualization
Data Warehouse
Database
Databases
Dataops
Design
DevOps
DevSecOps
Digital Marketing
Engineering
ETL
Etl/elt
Flink
Informatica
Information Technology (IT)
Infrastructure As Code
Kubernetes
Platform Engineering
Programming
Reporting and Analytics
SQL
Visual Design
Job Description
Lead mission-focused data engineering for the USASOC OTA Program, modernizing a DoD client’s data architecture in a hybrid Fort Bragg environment.
Responsibilities
- Design and apply cloud-based data architectures to support mission-critical operations
- Assess the current environment and research available resources across on-premises, cloud, and hybrid to recommend tools and capabilities
- Partner with client migration teams to implement strategy and architecture design
- Serve as Team Lead for a small, growing team delivering technical outputs using live data
- Develop dynamic, visual dashboards based on customer direction
- Coordinate with the Government PM to establish sprint cadence and maintain status dashboards
- Hybrid work setup: 50% remote / 50% onsite around Fort Bragg, NC
Requirements
- 10+ years of related experience
- Master’s degree in computer science or related field
- U.S. Citizenship required (U.S. Government Contract requirement)
- Current DoW Secret Clearance required
- SQL database experience
- Experience integrating Amazon S3 and Block Storage
- Python scripting
- 3-5 years with non-proprietary big data technologies (e.g., Presto, Hive, Spark, Flink); Presto/Trino preferred
- 3-5 years building data lake/warehouse technical architecture, infrastructure components, and ETL/ELT pipelines
- 3-5 years with workflow management engines (e.g., Airflow, AWS Step Functions, Prefect)
- Demonstrated ability to understand requirements, analyze data, identify opportunities, address gaps, and communicate to multiple stakeholders
- 3-5 years in software development, infrastructure, or Cloud operations
- Experience with multiple operating systems including Linux, UNIX, Windows
- Experience with Amazon Web Services (AWS) and Microsoft Azure
- Experience deploying containerized microservices in Kubernetes infrastructure
- Hybrid role requirements: 2-3 days on site at Fort Bragg and 2-3 days remote
- Travel required: 10-25%
Technologies
- SQL
- Amazon S3
- Block Storage
- Python
- Presto
- Trino
- Hive
- Spark
- Flink
- ETL/ELT
- Airflow
- AWS Step Functions
- Prefect
- Linux
- UNIX
- Windows
- Amazon Web Services (AWS)
- Microsoft Azure
- Kubernetes
Desired Skills
- Experience applying DoW security technical implementation guides (STIGs) and automating that process
- Defense or intelligence community cloud environment experience (plus)
- PowerBI ecosystem experience, focused on establishing and maintaining DataFlows
- Experience optimizing cloud environments, including leveraging native capabilities, right-sizing servers, expanding storage, and tracking cost efficiencies at the microservice level
- Experience configuring and aggregating logs for data analysis using Splunk or ELK solutions
- Experience managing data pipelines between networks and TAK infrastructure
Benefits
- Growth: AI-powered career tool that identifies career steps and learning opportunities
- Support: internal mobility team focused on career goals
- Rewards: comprehensive benefits and wellness packages
- 401K with company match
- Competitive pay and paid time off
- Community: award-winning culture of innovation and a military-friendly workplace
Salary
- USD 144,500 - 195,500 per year
Interview and Identity Verification
- Virtual interviews require being on camera
- Company may take a picture to verify identity and prevent fraud
- Proceeding authorizes collection, processing, and use of biometric data for identity verification and security purposes