> Markdown version of [/jobs/ext/3782480-cleared-it-positions-oracle-autonomous-data-warehouse-adw-da](https://www.wearedevelopers.com/jobs/ext/3782480-cleared-it-positions-oracle-autonomous-data-warehouse-adw-da). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cleared IT Positions - Oracle Autonomous Data Warehouse (ADW) Da - **Company:** Virtual, Inc. - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Business Analytics Applications, Data Analysis, Cloud Computing, Cloud Database, Databases, Data as a Services, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Mapping, Data Warehousing, Document-Oriented Databases, Meta-Data Management, Oracle Databases, Oracle (Applications), Oracle Warehouse Builder, Performance Tuning, Query Optimization, Cloud Services, Data Streaming, Cloud Platform System, Sql Optimization, Analytic Functions, Database Performance, Oracle Analytics Cloud, Oracle Cloud Infrastructure, Data Pipelines - **Published:** October 16, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9245716/cleared-it-positions-oracle-autonomous-data-warehouse-adw-da ## About the Role * 3-5 years of experience as an Oracle Database Administrator or ETL Engineer. * Hands-on experience with Oracle Autonomous Data Warehouse (ADW). * Experience building and managing pipelines in OCI Data Integration Cloud Service. * Strong background with Oracle Cloud Infrastructure (OCI) administration and resource configuration. * Advanced SQL skills, including query optimization, analytical functions, and performance tuning. * Experience designing and maintaining STAR schemas and dimensional data models. Preferred Qualifications: * Experience integrating ADW with analytics platforms such as Oracle Analytics Cloud (OAC). Familiarity with broader OCI data services (Object Storage, Data Catalog, Data Flow, GoldenGate). * Knowledge of ETL/ELT best practices and cloud-based data warehousing strategies. Exposure to data governance, metadata management, and security best practices in cloud environments., * At least 3-5 years of professional experience * This is a remote position * Active Public Trust Clearance * Please note that this specific position requires U.S. citizenship status What is Important to Us: * You are an excellent communicator in writing and speaking. * You have the ability to work independently but also value teamwork. * Your problem-solving skills are excellent. * You are looking for a job where performance appraisals occur regularly, and you look forward to advancing your career. * You seek a community of virtue-centered co-workers and clients. ## Description Virtual Service Operations is searching for an Oracle Autonomous Data Warehouse (ADW) Database Administrator & ETL Engineer to join our team. The Oracle ADW Database Administrator & ETL Engineer will be responsible for establishing, configuring, and maintaining the organization's Oracle Autonomous Data Warehouse (ADW) environment and implementing data ingestion pipelines using Oracle Cloud Infrastructure (OCI) Data Integration services. This role requires strong experience with cloud-based Oracle data technologies, advanced SQL expertise, and the ability to design, build, and maintain STAR schemas to support analytical workloads., * Provision, configure, and administer Oracle Autonomous Data Warehouse instances within OCI. Implement and manage data ingestion pipelines using OCI Data Integration Cloud Service. * Develop ETL/ELT workflows to load, transform, and stage data for downstream analytics. * Design, build, and maintain STAR schemas optimized for reporting and analytical performance. * Monitor database performance, storage usage, and query efficiency across the ADW environment. * Collaborate with analytics, data engineering, and infrastructure teams to support reporting and semantic model needs. * Ensure security, access control, and proper configuration of OCI resources used in the data pipeline. * Document data models, ETL pipelines, data mapping logic, and database configuration for long-term maintainability.