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Data Engineer Jobs in Ocean Springs, MS (NOW HIRING)

Jobtailor

DATA ANALYST 4

Pascagoula, MS · On-site

$70 - $110/hr

Develops, inspects, mines, transforms, and models data to raise productivity, improve decision ... Understanding of DevOps, CI/CD, or infrastructure-as-code methodologies. * Scripting or development ...

KBR

MCPP - Digital Solutions Specialist

Gulfport, MS

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Information Systems, Engineering, or a closely related technical discipline. In lieu of a degree, candidates must possess ...

KBR

MCPP - Digital Solutions Specialist

Gulfport, MS

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Information Systems, Engineering, or a closely related technical discipline. In lieu of a degree, candidates must possess ...

Integer

Machine Learning Engineer

Gulfport, MS · On-site

This role sits at the intersection of data science and software engineering: you will design models that turn raw maritime sensor data into reliable detection, classification, and situational ...

Integer

Autonomous System Test Engineer

Gulfport, MS · On-site

In this hands-on role, you will turn engineering requirements into actionable test plans, build and ... Data & Reporting : Process and summarize test data, and develop clear content for deliverables ...

Prophecy Technologies

Senior AI Engineer

Biloxi, MS · On-site

$93K - $127K/yr

The Senior AI Engineer is responsible for designing, developing, and deploying enterprise-grade ... This role translates complex data and business problems into scalable AI-driven solutions, enabling ...

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All JobsData Engineer JobsData Engineer Jobs in Ocean Springs, MS

Data Engineer information

See Ocean Springs, MS salary details

$35K

$102.2K

$139.8K

How much do data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data engineer in Ocean Springs, MS is $102,155.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $108,300.00 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 cities near Ocean Springs, MS are hiring for Data Engineer jobs?

Cities near Ocean Springs, MS with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Ocean Springs, MS as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $102,155 per year, or $49.1 per hour.

Data Warehouse Engineer

Mississippi Gulf Coast Community College

Perkinston, MS

Full-time

Re-posted 26 days ago

Job description

Position Information
Job Title Data Warehouse Engineer Job Description
GENERAL STATEMENT OF FUNCTION:
The Data Warehouse Engineer is responsible for extracting, transforming, and data processing by developing/managing the corresponding database tables. The individual must be proficient in database engineering and have expertise in SQL/PL-SQL. The individual maintains and writes PL-SQL procedures and functions and ensures the warehoused tables update via a Cron schedule on the Linux-based server. Data from the warehoused tables are used in internal, state and federal reports. The position requires a high amount of independent technical work and ongoing communication with the Executive Vice President of Technology & Research.
Job Duties
SPECIFIC DUTIES & RESPONSIBILITIES
Engineering Tables in the Data Warehouse:
1. Creates the database tables used to store the extracted and transformed data which are subsequently used as drivers of reports and dashboards. These tables are updated on a cron schedule on the Linux server using SQL and shell scripts to automate the process. As needs arise for new fields to be added to the tables, the Data Warehouse Engineer will code these fields, update all prior records to include the new data, and ensure the fields are populated automatically going forward.
2. Responsible for the organizational framework that standardize the process of data collection, storage, transformation, distribution, and usage.
3. Builds massive reservoirs for data and develop, construct, test, and maintain architectures and data processing systems.
Extracting Data:
4. Writes SQL queries and PL-SQL procedures and functions to extract data from multiple sources, including the Oracle database-based Banner student information system and excel spreadsheets. Extraction from survey data spreadsheets and subsequent data transformation and loading utilizes scripting in R which are written and maintained by the Data Warehouse Engineer. Custom projects based on extracted data and extracting data to the planning system in Oracle Application Express are also the responsibility of the Data Warehouse Engineer.
Maintaining Tables in the Data Warehouse:
5. Responsible for ensuring the data are updated and troubleshooting any technical issues that may arise in the data warehouse tables. Monitor the system performance by performing regular tests and integrating new features.
Verification & Validation of Data Elements:
6. Assembles data from multiple sources, cleans and analyzes complex datasets in areas, including but not limited to: internal data requests, survey research, ad hoc research projects, assessments and evaluation, program/institutional accreditation, and state/federal reporting. Interprets the data with accuracy and presents key findings to internal and external stakeholders in a clear and concise manner.
Consultation:
7. Designs and coordinates various ad hoc research projects based off of institutional need, facilitates the administration of assessments, and creates comprehensive evaluation plans.
General Responsibilities
8. Responsible for analyzing and reporting data to meet state, federal and accreditation deadlines.
9. Ensures that all reports and generated output are delivered with accuracy and by the established deadline.
10. Provides ongoing training, support and educational opportunities to our employees on IR related topics and promotes a culture of assessment at the institution. Prepares and presents employee development
educational sessions based off employee needs and the individual's area of expertise.
11. Works cooperatively and effectively with other college staff members, faculty and administration. Practices excellent customer service in their daily interaction with stakeholders.
12. Ability to work within strict deadlines. Able to work effectively in a high-pressure environment.
13. Assumes responsibility for special assignments initiated by the administration or our stakeholders.
14. High-level productive programmer who has a passion for designing and maintaining a data warehouse.
15. Works well with individuals from diverse backgrounds and personalities.
16. Adheres to all policies, procedures, and laws governing the employees of the institution.
17. Perform other duties as assigned by the Executive Vice President of Technology & Research.
Mandatory Qualifications
MANDATORY: (M1) Master's degree in Computer Engineering, Computer Science, Computer Programming, or a related field requiring database architecture (M2) Relevant coursework or significant work experience developing a database and proficiency in Oracle required. (M3) Demonstrated experience or have the experience to build reservoirs of data. (M4) Excellent oral and written communication skills; demonstrates the ability to communicate complex findings in a concise manner. (M5) Excellent time management and organizational skills.
Desirable Qualifications
DESIRABLE: (D1) A Ph.D. or significant progress towards a terminal degree, in Computer Engineering, Computer Science, Computer Programming, or a closely related field requiring database architecture or data analysis from a regionally accredited institution of higher education. (D2) Strong background and technical skills working with Ellucian Banner, FTP, SSH, Linux, Crontab, Shell Scripting, SQL, PL-SQL, R, Oracle Application Express (APEX), Windows Batch Scripting
EEO Statement
Mississippi Gulf Coast Community College is an Equal Opportunity Employer and welcomes students and employees without regard to race, color, religion, national origin, sex, pregnancy, age, or qualified disability in its programs and activities. For further information, contact the Compliance Officer P.O. Box 609, Perkinston, Mississippi, 39573, telephone number 601-528-8735, email address compliance@mgccc.edu.
The College:
The Mississippi Gulf Coast Community College District serves a four-county area with three major campuses, the Community Campus and four centers including: Perkinston Campus, Perkinston, MS; Harrison County Campus, Gulfport, MS; Jackson County Campus, Gautier, MS. Additionally, Mississippi Gulf Coast Advanced Manufacturing and Technology Center, Gulfport, MS; Keesler Center, Biloxi, MS; West Harrison Center, Long Beach, MS; and George County Center, Lucedale, MS.
State and regional associations accredit Mississippi Gulf Coast Community College, and several programs are accredited nationally. Offerings include academic, technical degree, vocational skill and adult continuing education programs.
Classification Administration
Posting Detail Information
Open Date 06/20/2022 Close Date Open Until Filled Yes Special Instructions to Applicants For more information on the position, please contact (Name, Address, Phone, and Email):
Adam Swanson
Executive Vice President, Technology & Research
10298 Express Drive. Gulfport 39503
228-897-4377
adam.swanson@mgccc.edu

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