Enterprise Data Engineer: Scale & Optimize Big Data Pipelines

Trustmark National Bank; Ridgeland (MS); On-site; USD 105,000 - 145,000; Full time

Job summary

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

You will build and scale data pipelines, develop NLP modules, and apply advanced data processing techniques. Strong collaboration and problem-solving are essential.

Experience with ETL platforms and data warehousing is required; a master's degree is preferred.

Qualifications

• Bachelor's degree in Data or Computer Science or equivalent certification.
• 4 years of experience with modern ETL platforms (Datastage, Informatica, Snowpipe, Azure, AWS).
• Strong knowledge of relational databases, data warehousing, and data modeling.
• Proficient in SQL and Python; able to work independently and in teams.
• Excellent communication and problem-solving abilities.
• Master's degree in data or CS preferred.

Responsibilities

• Builds and maintains complex data systems and infrastructures.
• Designs, develops, and tests data pipelines to ingest, process, and extract insights.
• Develops models for classification and information extraction from data.
• Performs data cleansing, normalization, hashing, and schema changes.
• Creates NLP software modules and collaborates with teams to meet business needs.
• Troubleshoots issues using advanced techniques and processes.
• Performs additional duties as assigned.

Skills

ETL platforms

SQL

Python

Data warehousing

Data modeling

Analytical thinking

Problem solving

Communication skills

Team collaboration

Advanced computing

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 in Ridgeland is seeking an Enterprise Data Engineer to design, evaluate, assemble, and test data infrastructures that meet business requirements.

You will build and scale data pipelines, develop NLP modules, and apply advanced data processing techniques. Strong collaboration and problem-solving are essential.

Experience with ETL platforms and data warehousing is required; a master's degree is preferred.