Data Infrastructure Engineer: Scale Ingestion & Modeling

Trustmark Corporation; Ridgeland (MS); On-site; USD 70,000 - 100,000; Full time

Job summary

Trustmark Bank seeks a data infrastructure engineer to design, evaluate, assemble, and test data systems that meet business needs. You will build scalable ETL and data processing pipelines, develop NLP modules, and ensure data quality across warehousing platforms.

The role requires strong SQL/Python skills, experience with ETL tools, and the ability to work both independently and in teams. MS/BS in data-related fields is preferred; Trustmark emphasizes a collaborative, inclusive workplace.

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.
• Ability to apply advanced techniques to complete work.
• Ability to work independently and in a team.
• Master’s degree relevant to data or computer sciences preferred.

Responsibilities

• Builds and maintains complex systems and infrastructures that collect and process data.
• Evolves and scales infrastructure to ingest, process and extract meaning from data.
• Designs and implements models for classification and information extraction from data.
• Uses data infrastructure to fulfill data requests, perform data cleansing and normalization.
• Develops NLP modules for data processing tasks.
• Troubleshoots problems using advanced techniques and proposes solutions.
• Performs additional duties as assigned.

Skills

Analytical thinking

Problem-solving

Oral & written communication

Team collaboration

Independent work

Data-driven decisions

Education

Bachelor's degree in Data or Computer Science

Master's degree preferred

Tools

IBM Datastage

Informatica

Snowpipe

Azure

AWS

Job description

Trustmark Bank seeks a data infrastructure engineer to design, evaluate, assemble, and test data systems that meet business needs. You will build scalable ETL and data processing pipelines, develop NLP modules, and ensure data quality across warehousing platforms.

The role requires strong SQL/Python skills, experience with ETL tools, and the ability to work both independently and in teams. MS/BS in data-related fields is preferred; Trustmark emphasizes a collaborative, inclusive workplace.