Senior Oracle Cloud Data Engineer

Redhorse Corporation; Reston (VA); On-site; USD 150,000 - 205,000; Full time

Job summary

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

Responsibilities include designing ETL/ELT processes, optimizing data architectures, and ensuring data quality, governance, and security across systems, while collaborating with analysts, data scientists, and engineers.

Qualifications

• Active U.S. Government Top Secret/SCI with CI Polygraph is required.
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
• 10+ years of experience in database administration, engineering, or similar role
• 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

SQL

Relational databases

Data pipelines

Cloud platforms

Data governance

Data modeling

Education

Bachelor’s degree in Computer Science or Engineering

Tools

Oracle APEX

GoldenGate

Docker

Kubernetes

Oracle Cloud Spatial Studio

Job description

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

Responsibilities include designing ETL/ELT processes, optimizing data architectures, and ensuring data quality, governance, and security across systems, while collaborating with analysts, data scientists, and engineers.