Cloud Data Engineer (Oracle DB) – TS/SCI

Redhorse Corporation; Reston (VA); On-site; USD 150,000 - 210,000; Full time

Job summary

Redhorse Corporation is seeking an Oracle Database Cloud Developer to design, build, and maintain scalable data pipelines and infrastructure. This role focuses on cloud platforms and relational databases to support data-driven decision-making across the organization.

Responsibilities include ETL/ELT pipeline design, cloud data architectures, and managing relational databases for performance and reliability.

Qualifications

• Active Top Secret/SCI with CI Polygraph is required.
• 10+ years of experience in database administration, engineering, or similar role.
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• Strong experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server, Oracle).
• Proficiency in SQL and database design.
• Experience with at least one cloud platform (Oracle, AWS, Azure, or Google Cloud).
• Hands-on experience with API Gateways, JSON, and low/code tools (e.g. Oracle APEX).

Responsibilities

• Design, develop, and maintain robust ETL/ELT data pipelines.
• Build and optimize data architectures in cloud environments.
• Develop and manage relational database systems for performance and reliability.
• Collaborate with data analysts, data scientists, and software engineers to deliver clean, usable datasets.
• Ensure data quality, integrity and governance across systems.
• Monitor and troubleshoot data workflows and pipeline performance.
• Implement best practices for data security and compliance.

Skills

Security clearance

SQL

ETL/ELT

Data governance

Cloud integration

Education

Bachelor's degree in Computer Science/Engineering or related field

Tools

PostgreSQL

MySQL

SQL Server

Oracle

Oracle APEX

AWS/Azure/GCP

Job description

Redhorse Corporation is seeking an Oracle Database Cloud Developer to design, build, and maintain scalable data pipelines and infrastructure. This role focuses on cloud platforms and relational databases to support data-driven decision-making across the organization.

Responsibilities include ETL/ELT pipeline design, cloud data architectures, and managing relational databases for performance and reliability.