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Data Engineer Jobs in Mobile, AL (NOW HIRING)

As a Mission Critical Mechanical Engineering SME, you will be instrumental in providing technical expertise to internal team members and external clients, driving our data center work forward. You ...

Evaluate the technical feasibility, data readiness, and infrastructural viability of proposed AI ... Collaborate with the AI Lead Developer to define local software development guidelines, API schemas ...

Reliability Engineer

Mcintosh, AL

$115K - $145K/yr

: Reliability Engineer Huntsman is seeking a Reliability Engineer supporting the Advanced Materials ... Analyze data using appropriate tools to develop and implement reliability improvement plans.

Reliability Engineer

Mcintosh, AL · On-site

$115K - $145K/yr

: Reliability Engineer Huntsman is seeking a Reliability Engineer supporting the Advanced Materials ... Analyze data using appropriate tools to develop and implement reliability improvement plans.

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Data Engineer information

See Mobile, AL salary details

$44.2K

$128.7K

$176.1K

How much do data engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data engineer in Mobile, AL is $128,721.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,600.00 and $136,400.00 per year, depending on experience, location, and employer.

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.

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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

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.

What are Data Engineers?

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.

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 does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
What are the most commonly searched types of Data Engineer jobs in Mobile, AL? The most popular types of Data Engineer jobs in Mobile, AL are:
What are popular job titles related to Data Engineer jobs in Mobile, AL? For Data Engineer jobs in Mobile, AL, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Mobile, AL look for? The top searched job categories for Data Engineer jobs in Mobile, AL are:
What cities near Mobile, AL are hiring for Data Engineer jobs? Cities near Mobile, AL with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Mobile, AL as of June 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $128,721 per year, or $61.9 per hour.
Data Warehouse Engineer

Other

Posted 15 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