Data Engineer

RedBeard Solutions; New York (NY); On-site; USD 150,000 - 190,000; Full time

Job summary

RedBeard Solutions in the United States is seeking a data engineer with 6+ years of experience to design and maintain cloud-based data pipelines and data models. The role requires handling sensitive government data and an Active Secret clearance (Top Secret or higher preferred).

Proficiency in Python, Docker, and graph databases like Neo4j, along with experience in AWS and related cloud services, will be essential for building scalable data solutions and ensuring robust data governance.

Qualifications

• 6+ years of experience in data engineering, with a strong focus on cloud-based solutions.
• Active Secret clearance required (Top Secret or higher preferred).
• Experience supporting defense or government environments with handling classified or sensitive data.

Skills

Python

Data pipeline development

Data engineering

Data modeling

Performance tuning

Troubleshooting

Tools

Docker

Neo4j

AWS

Azure

GCP

Relational databases

Job description

• Prior experience supporting defense or government environments, including handling classified or sensitive data
• Active Secret clearance required (Top Secret or higher preferred)
• 6+ years of experience in data engineering, with a strong focus on cloud-based solutions

Technical Skills & Expertise:

• Strong proficiency in Python for data engineering and pipeline development
• Hands-on experience with AWS-based data engineering (experience with Azure or GCP is a plus)
• Deep understanding of data modeling, data ingestion frameworks, and pipeline architecture
• Experience working with knowledge graphs, particularly using Neo4j, and familiarity with relational databases
• Expertise in writing clean, maintainable, and testable code, including automation and error handling best practices
• Practical experience with Docker and containerized workflows
• Strong background in data pipeline performance tuning, monitoring, and troubleshooting