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# Data Engineer (PL/SQL)

- **Company:** Kforce Inc.
- **Location:** Durham, NC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Information Systems, Databases, Continuous Integration, Data Validation, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Structures, Data Warehousing, DevOps, Python (Programming Language), MongoDB, NoSQL, Online Transaction Processing, Oracle Databases, Oracle (Applications), Performance Tuning, Standard Sql, PL-SQL, SQL Databases, Unstructured Data, Enterprise Data Management, Google Cloud, Snowflake, Oracle Service Cloud, Information Technology, Data Lineage, Data Pipelines
- **Published:** September 23, 2026
- **Apply:** https://www.dice.com/job-detail/b54158bb-c0c4-46ba-b6a0-37776867ac7d

## About the Role

* Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience) and 7+ years of experience in data engineering and database administration

Strong expertise in:

 * Oracle Database (Application DBA experience required)
 * Informatica (ETL development)
 * Data Warehousing concepts and architecture

Hands-on experience with:

 * Snowflake
 * Oracle Analytics Server (reporting and integration)
 * Python
 * SQL (advanced querying and performance tuning)
 * NoSQL databases (MongoDB preferred)

Preferred Qualifications:

 * Experience with cloud platforms (Azure, AWS, or Google Cloud Platform)
 * Familiarity with modern data stack tools (dbt, Airflow, etc.)
 * Knowledge of DevOps and CI/CD pipelines
 * Experience supporting high-volume transactional systems (OLTP)
 * Exposure to data governance and security frameworks

## Description

Kforce has a client in Durham, NC that is seeking a Data Engineer (PL/SQL)., * Develop and maintain data models (dimensional and normalized) to support analytics and reporting

 * Build and optimize enterprise data warehouse solutions across Oracle and Snowflake platforms
 * Ensure efficient ingestion, transformation, and integration of structured and unstructured data
 * Design, develop, and maintain scalable data pipelines and ETL processes using tools such as Informatica and Python
 * Support and enhance Oracle Analytics Server reporting environments
 * Collaborate with BI and analytics teams to ensure data accuracy and usability
 * Optimize data structures for reporting performance
 * Develop and maintain solutions in Snowflake cloud data warehouse
 * Implement best practices for cloud data architecture, cost optimization, and performance
 * Work with NoSQL technologies (MongoDB) for semi-structured and unstructured data use cases
 * Write efficient, reusable, and scalable code using Python and SQL
 * Automate data workflows, monitoring, and alerting
 * Implement CI/CD practices for data pipelines and database deployments
 * Ensure data quality, consistency, and security across platforms
 * Implement data validation, cleansing, and lineage tracking
 * Adhere to corporate data governance and compliance standards


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