Senior Data Engineer - Cloud ETL & DoD‑Secure Data

Graham Technologies; Tampa (FL); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Four Weeks PTO (accrued)

11 Federal Holidays

Health, Dental, Vision, Life Insurance

401(k) Plan with employer contrib.

Flexible schedules

Job summary

Graham Technologies is seeking a highly skilled Data Engineer to design, develop, and maintain enterprise data engineering solutions that support advanced analytics and modernize large-scale data environments. You will build secure, scalable cloud-based data pipelines and enable predictive analytics and machine learning capabilities.

The role includes preparing data for dashboards, developing technical documentation, and facilitating knowledge transfer.

Qualifications

• Active Top Secret clearance with SCI eligibility.
• Bachelor's degree in a technical field.
• Minimum five years of professional data engineering experience.
• Experience designing and implementing enterprise ETL/ELT pipelines.
• Strong Python programming experience.
• Advanced SQL development experience.
• Experience with NoSQL databases.
• Experience with Kafka or other streaming tech.
• Experience with Spark.
• Experience with Airflow/NiFi or similar orchestration tools.
• Experience in AWS or Azure cloud environments.
• Experience implementing data governance and data quality processes.
• Experience integrating data from enterprise applications via APIs.

Responsibilities

• Design, develop, and maintain scalable data pipelines for high-volume logistics data.
• Build ETL/ELT processes to centralize data in cloud repositories.
• Develop data lake architectures for structured and unstructured data.
• Create batch and streaming pipelines using Kafka, Airflow, NiFi.
• Design cloud-native storage/compute in AWS or Azure.
• Ensure data architectures meet DoD cybersecurity requirements.
• Implement metadata, data lineage, and data quality controls.
• Develop SQL and NoSQL databases to support analytics.
• Build APIs for enterprise data integration.
• Collaborate with Data Scientists to prep data for ML/AI projects.
• Develop data models for executive dashboards using BI tools.
• Monitor and optimize pipelines and cloud infra.
• Produce architecture docs, data dictionaries, and SOPs.
• Support knowledge transfer for Government personnel.
• Contribute to Agile ceremonies and cross-functional collaboration.

Skills

Python

SQL

NoSQL

Kafka

Spark

Airflow

NiFi

AWS

Azure

APIs

Data governance

Security clearance

Education

Bachelor's degree in CS/IS/Engineering/Math

Tools

Power BI

Tableau

Qlik

Job description

Graham Technologies is seeking a highly skilled Data Engineer to design, develop, and maintain enterprise data engineering solutions that support advanced analytics and modernize large-scale data environments. You will build secure, scalable cloud-based data pipelines and enable predictive analytics and machine learning capabilities.

The role includes preparing data for dashboards, developing technical documentation, and facilitating knowledge transfer.