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# Enterprise Data Engineer

- **Company:** Trustmark National Bank
- **Location:** Atlanta, GA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Databases, Data Cleansing, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Relational Databases, IBM InfoSphere DataStage, PC Tools, Information Extraction, Python (Programming Language), Natural Language Processing, SQL Databases, Enterprise Data Management, Data Processing, Software Modules, Information Technology
- **Published:** August 14, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17947069?backUrl=%2Fcareer%2F17947069%2FEnterprise-Data-Engineer-Georgia-Atlanta

## About the Role

* Bachelor's degree in Data or Computer Science, or equivalent certification.
 * 4 years of experience with modern ETL platforms, such as IBM Datastage, Informatica, Snowpipe, Azure, AWS, etc.
 * Strong knowledge of relational databases, data warehousing and data modeling concepts
 * Moderate to advanced proficiency in database languages such as SQL, Python, etc.
 * Use of advanced techniques, theories, and processes to complete work
 * Competency and capability to perform work independently, and in team environment
 * Oral and written communication skills
 * Advanced computer skills
 * Technical expertise with data warehouse tools
 * Analytical thinking skills
 * Problem-solving skills
 * Master's degree relevant to data or computer sciences or equivalent certification preferred.

Physical Requirements/Working Conditions: Must be able to sit for long periods of time and use computer keyboard and/or mouse, while viewing computer screens.

## Description

Builds and maintains complex systems and infrastructures that collect and process data according to company needs and goals.

 * Builds, evolves, and scales out infrastructure to ingest, process and extract meaning from data.
 * Designs, develops, and implements mathematical or statistical models to carry out various novel aspects of classification and information extraction from data.
 * Leverages existing data infrastructure to fulfill all data-related requests, perform necessary data housekeeping, data cleansing, normalization, hashing, and implementation of required data model changes. Analyzes data to spot anomalies, trends, and correlate similar data sets.
 * Designs, develops, and implements natural language processing software modules.
 * Uses advanced techniques, theories, and processes to troubleshoots problems, identifies possible solutions, and resolves accordingly.
 * Associates are expected to perform all additional duties as assigned.


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