Enterprise Data Engineer - Data Pipelines & NLP

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

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.