Data Engineer

Graham Technologies is seeking a Data Engineer to design, develop, and maintain secure, scalable cloud-based data engineering solutions for analytics and the modernization of large-scale data environments. The role will focus on building reliable data pipelines, governance practices, and documentation, while enabling predictive analytics, AI, and machine learning capabilities.

Responsibilities

• Design, develop, and maintain scalable enterprise data pipelines supporting high-volume logistics data.
• Develop ETL/ELT processes to integrate data from multiple enterprise logistics systems into centralized cloud-based data repositories.
• Build and optimize data lake architectures for structured and unstructured data.
• Develop batch and streaming pipelines using technologies such as Apache Kafka, Apache Airflow, and Apache NiFi.
• Design and implement cloud-native storage and compute solutions in AWS or Azure environments.
• Develop secure data architectures that comply with Department of Defense cybersecurity requirements.
• Implement data governance and operational controls, including metadata management, data lineage, audit trails, and data quality.
• Develop and maintain SQL and NoSQL databases supporting enterprise analytics.
• Design and implement APIs to support enterprise data integration and interoperability.
• Collaborate with Data Scientists to prepare, transform, and optimize datasets for predictive analytics and machine learning models.
• Develop reusable data models that support executive dashboards and business intelligence reporting using Power BI, Tableau, Qlik, or similar visualization 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 sessions for Government personnel.
• Participate in Agile development activities, including sprint planning, backlog refinement, demonstrations, and peer reviews.
• Collaborate with cross-functional engineering teams to continuously improve enterprise data capabilities.

Required Qualifications

• 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 five (5) years of professional Data Engineering experience.
• Experience designing and implementing enterprise ETL/ELT data 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

Location

Tampa, Florida (onsite)

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

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.