Enterprise Data Engineer

Trustmark National Bank; Houston (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

Trustmark National Bank is seeking an Enterprise Data Engineer in Houston, TX to design, evaluate, assemble, and test data infrastructures to meet business requirements.

The role focuses on building scalable data pipelines, ETL workflows using cloud platforms (Azure, AWS) and implementing NLP modules to extract insights from large datasets. Collaboration with teams is essential to deliver robust data solutions.

Qualifications

• Bachelor's degree in Data or Computer Science or equivalent certification.
• 4 years of experience with modern ETL platforms (IBM Datastage, Informatica, Snowpipe, Azure, AWS).
• Strong knowledge of relational databases, data warehousing and data modeling concepts.
• Proficiency in SQL and Python, and data analysis practices.
• Ability to work independently or in a team, with good communication.
• Master's degree relevant to data or computer sciences preferred.

Responsibilities

• Builds and maintains complex data systems and infrastructures.
• Ingests, processes and extracts meaning from data at scale.
• Develops and implements NLP software modules.
• Leverages data infrastructure for housekeeping, cleansing, normalization, and schema changes.
• Troubleshoots problems with advanced techniques and processes.

Skills

SQL

Python

Data modeling

Analytical thinking

Problem solving

Communication

Independent & teamwork

Education

Bachelor's degree in Data or Computer Science

Master's degree preferred

Tools

IBM Datastage

Informatica

Snowpipe

Azure

AWS

Job description

Enterprise Data Engineer

Location: US-MS-Ridgeland | US-MS, AL, Houston, TX; Memphis, TN; Panhandle FL; Atlanta, GA

Type: Regular Full-Time

Working Hours: 8-5

Overview

The purpose of this position is to design, evaluate, assemble, and test data infrastructures to meet business requirements.

Responsibilities

• 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.

Qualifications

• 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.

Disclaimer: Management retains the right to add, delete or modify the responsibilities and qualifications of the position at any time.