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Data Engineer Jobs in Mississippi (NOW HIRING)

Trustmark Bank

Enterprise Data Engineer

Ridgeland, MS · On-site +1

$99K - $119K/yr

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 ...

Trustmark Bank

Enterprise Data Engineer

Ridgeland, MS · On-site +1

$99K - $119K/yr

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 ...

Koniag, Inc.

Data Scientist

Stennis Space Center, MS · On-site

Python, R, or similar programming languages * Machine learning frameworks (scikit-learn, TensorFlow, PyTorch) * Statistical analysis and modeling * Data visualization tools (Matplotlib, Seaborn ...

Amgen

Sr. Data Scientist - Process Modeling

Jackson, MS · On-site

Data Scientist - Process Modeling What you will do Let's do this. Let's change the world. In this ... Work closely with engineers to identify opportunities for process design improvements for Amgen ...

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All JobsData Engineer JobsData Engineer Jobs in Mississippi

Data Engineer information

See Mississippi salary details

$42.1K

$122.8K

$168.1K

How much do data engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for data engineer in Mississippi is $122,850.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,400.00 and $130,200.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Mississippi?

The most popular types of Data Engineer jobs in Mississippi are:

What are popular job titles related to Data Engineer jobs in Mississippi?

For Data Engineer jobs in Mississippi, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in Mississippi look for?

The top searched job categories for Data Engineer jobs in Mississippi are:

What cities in Mississippi are hiring for Data Engineer jobs?

Cities in Mississippi with the most Data Engineer job openings:

What are popular job titles related to Data Engineer jobs in MS?

For Data Engineer jobs in MS, the most frequently searched job titles are:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Mississippi as of August 2026, with employment types broken down into 85% Full Time, 7% Temporary, and 8% Contract. Highlights an 78% In-person, 7% Hybrid, and 15% Remote job distribution, with an average salary of $122,850 per year, or $59.1 per hour.

Enterprise Data Engineer

Trustmark Bank

Ridgeland, MS • On-site, Remote

$99K - $119K/yr

Full-time

Posted 17 days ago

Trustmark National Bank rating

8.2

Company rating: 8.2 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

51st of 173 rated banks

Job description

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.
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.

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