> Markdown version of [/jobs/ext/4620186-database-administrator](https://www.wearedevelopers.com/jobs/ext/4620186-database-administrator). 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). --- # Database Administrator - **Company:** Resourcesoft, Inc. - **Location:** Wayne, PA, United States - **Experience:** Experienced - **Contract:** Contract - **Skills:** Microsoft Windows, Amazon S3, Data Analysis, Backup Devices, BigQuery, Cloud Computing, Cloud Database, Databases, Data as a Services, Data Governance, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Warehousing, Linux, Document-Oriented Databases, Drupal, Microsoft SQL Server, MySQL, Oracle Databases, Performance Tuning, Query Optimization, Acquia, SQL Databases, Data Streaming, Systems Integration, Cloud Platform System, Snowflake, AWS Data Analytics, Tools for Reporting - **Published:** November 7, 2026 - **Apply:** https://www.dice.com/job-detail/b343befb-2f2a-4632-9179-3160d1df6073 ## About the Role * 3 years or more of Oracle database administration, enterprise database support, and cloud data platform experience. * Proficiency in AWS data services, including S3, Glue, Lambda, Redshift, and cloud-based data pipelines. * Experience with Snowflake, SQL, data warehousing, data modeling, query optimization, and performance tuning. * Experience with ETL/ELT, data integration, migration, cleansing, validation, reconciliation, and data quality processes. * Experience with Lawson, Drupal/Acquia, SQL Server, MySQL, Linux, Windows, BigQuery, and BI/reporting platforms. * Excellent verbal and written communication skills. ## Description * Administer and optimize Oracle database environments, including performance, backups, recovery, security, and availability. * Build and maintain AWS data pipelines and Snowflake warehouse components supporting analytics and reporting workloads. * Develop complex SQL transformations, ETL/ELT processes, data models, and scalable enterprise data structures. * Integrate and synchronize data across ERP, CMS, cloud, warehouse, analytics, and reporting platforms. * Monitor database and pipeline performance while resolving data integrity, migration, processing, and operational issues. * Establish data governance practices and document database structures, data flows, transformations, and system integrations.