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# Senior Data Engineer(ETL Focused)

- **Company:** American CyberSystems
- **Location:** Charlotte, NC, United States (Remote available)
- **Experience:** Expert
- **Salary:** $128,960.0 - $135,200.0
- **Contract:** Temporary contract
- **Skills:** Clean Code Principles, Airflow, CA Workload Automation Ae, Unix, Continuous Integration, Extract Transform Load (ETL), Data Mart, Data Systems, Data Transformation Services, Data Warehousing, Relational Databases, Database Queries, Oracle Exadata, Python (Programming Language), Oracle SQL Developer, Ansible, Data Streaming, Workflow Management Systems, Data Processing, Pandas, Jenkins
- **Published:** August 14, 2026
- **Apply:** https://www.jofdav.com/jobs/59219639-senior-data-engineer-etl-focused

## About the Role

* Strong SQL skills and awareness / experience of good coding practices and ability to articulate such.
 * Practical working experience with relational databases, preferably Oracle Exadata.
 * Familiarity with Data Warehouse / Data Mart / Data Modeling / Business Intelligence concepts.
 * Must have good recent experience with Informatica ETL tool.

 * Familiarity with Autosys / Orchestration Tools.
 * Someone who likes data, enjoys puzzles and is intrigued by using new and existing tools to map out data transformation solutions.

DESIRED SKILLS:

 * Exposure / self-education with Unix scripting.
 * Exposure / self-education with Python (e.g. Pandas, Data Frames) and use in data processing solutions.
 * Exposure to CI/CD processes and tools (e.g. Ansible, Jenkins).
 * Exposure to Airflow extremely helpful but not required.
 * Experience designing and building data warehouses and knowledge of the data flows involved.
 * Willingness to take on problems outside of current skillset and experience.
 * Experience with development methodologies and working in an agile framework.
*
Willingness to take on problems outside of current skillset and experience.

## Description

As an ETL Focused Data Engineer having Minimum 8-10+ years of experience, candidate will be expected to help the team craft data solutions to meet business and enterprise requirements using Oracle SQL, Python and ETL Informatica to enhance and support a Data Warehouse.


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