Enterprise Data Engineer

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

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


• 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.

Trustmark Bank does not accept unsolicited resumes from agencies and/or search firms for any job postings on this site. Resumes submitted to any Trustmark Bank employee by a third-party agency and/or search firm without a valid, written search agreement signed by Trustmark, will become the sole property of Trustmark Bank. No fee will be paid if a candidate is hired for a position as a result of an unsolicited agency or search firm referral.

Working with Us

Teamwork and the individual contributions of our associates are recognized as the drivers of our success. At Trustmark, we are committed to preserving and advancing a diverse and inclusive workplace, where each associate, customer and shareholder is respected, valued and encouraged to share in our commitment. We make significant investments in our associates so that they may enhance their personal and professional skills, because we want each associate to grow, flourish and fulfill their career aspirations. Come onboard and join our team!

Equal Opportunities for All

Trustmark exemplifies the strength and possibilities that come with a diverse and inclusive team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, genetic information, pregnancy, national origin, protected veteran, disability status, or any other characteristic protected under applicable law. Trustmark is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment.

Upon accepting a position with Trustmark, the following pre-employment screenings must be completed:

• Verification of employment, education and other data provided by you on your employment application


• Verification of eligibility to work in the US


• Criminal background check


• Credit check (required for certain positions)


• Fingerprinting (required for certain positions)