Data Engineer

Graham Technologies is seeking a Data Engineer to build and modernize secure, scalable cloud data platforms for analytics and AI-enabled capabilities.

Responsibilities

• Design, develop, and maintain scalable enterprise data pipelines for high-volume logistics data
• Create ETL/ELT processes to integrate data from multiple enterprise logistics systems into centralized cloud repositories
• Build and optimize data lake architectures for both structured and unstructured data
• Develop batch and streaming pipelines using Apache Kafka, Apache Airflow, and Apache NiFi
• Implement cloud-native storage and compute solutions within AWS or Azure
• Design secure data architectures aligned with Department of Defense cybersecurity requirements
• Implement data governance, including metadata management, data lineage, audit trails, and data quality controls
• Develop and maintain SQL and NoSQL databases supporting enterprise analytics
• Design and implement APIs for enterprise data integration and interoperability
• Partner with Data Scientists to prepare, transform, and optimize datasets for predictive analytics and machine learning models
• Build reusable data models to support executive dashboards and business intelligence reporting using Power BI, Tableau, Qlik, or similar tools
• Monitor, troubleshoot, and optimize enterprise data pipelines and cloud infrastructure
• Create technical documentation including architecture diagrams, data dictionaries, interface specifications, API documentation, and standard operating procedures
• Support knowledge transfer and technical training for Government personnel
• Participate in Agile activities such as sprint planning, backlog refinement, demonstrations, and peer reviews
• Work with cross-functional engineering teams to continuously improve enterprise data capabilities

Requirements

• Active TS/SCI preferred; candidates with an active Top Secret (TS) clearance who are SCI-eligible will also be considered
• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical discipline
• Minimum 5 years of professional Data Engineering experience
• Experience designing and implementing enterprise ETL/ELT pipelines
• Strong programming experience using Python
• Advanced SQL development experience
• Experience with NoSQL databases
• Experience with Apache Kafka or similar streaming technologies
• Experience with Apache Spark
• Experience with Apache Airflow, Apache NiFi, or comparable orchestration tools
• Experience designing and supporting cloud-based data solutions using AWS or Azure
• Experience implementing enterprise data governance, metadata management, and data quality processes
• Experience integrating data from multiple enterprise applications using APIs
• Strong analytical, troubleshooting, and problem-solving skills
• Excellent written and verbal communication skills

Technologies

• Python
• SQL
• NoSQL
• Apache Kafka
• Apache Airflow
• Apache NiFi
• Apache Spark
• AWS
• Azure
• Power BI
• Tableau
• Qlik
• ETL
• ELT
• API

Benefits

• Four Weeks of Accrued PTO in the First Year
• Eleven Paid Federal Holidays
• Comprehensive Health, Dental, Vision, and Life Insurance
• 401(k) Plan with Annual Employer Contributions
• Flexible Schedules
• Reimbursements for Continued Education and Training

Location

• Tampa, Florida (onsite)

Preferred Qualifications

• Experience supporting Department of Defense or Federal Government programs
• Experience supporting logistics, supply chain, sustainment, or operational data environments
• Experience with AWS S3, Azure Blob Storage, AWS KMS, or Azure Key Vault
• Experience developing enterprise data lakes or modern data warehouse solutions
• Experience supporting business intelligence and dashboard development
• Experience with containerized applications and DevSecOps pipelines
• AWS or Microsoft Azure Cloud Certification
• Security+ or other DoD 8570/8140 certification