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Data Engineer Jobs in Auburn, AL (NOW HIRING)

Neptune

Software Engineer (BI)

Tallassee, AL · On-site

We make data actionable using effective software and measurement systems that are interconnected by ... Software Engineer (BI) Position Summary As a Business Intelligence Software Engineer, you will ...

Auburn University

Student Data Analyst

Auburn, AL · On-site

Responsibilities : • Develop and automate data workflows for analysis and reporting. • Collaborate with researchers, engineers, and industry partners to solve complex data problems. • Analyze ...

4pconsultinginc

Data Analyst 1

Auburn, AL · On-site

Work closely with network engineers and IT staff to support smooth data center operations. * Provide hands-on support for data center projects and initiatives . * Assist in developing and ...

4P Consulting Inc

Data Analyst 1 4P/345

Auburn, AL · On-site

Collaboration and SupportWork closely with network engineers and IT staff to support smooth data center operations.Provide hands-on support for data center projects and initiatives.Assist in ...

4P Consulting Inc

Data Analyst 1 4P/345

Auburn, AL · On-site

Collaboration and SupportWork closely with network engineers and IT staff to support smooth data center operations.Provide hands-on support for data center projects and initiatives.Assist in ...

TERRACON

Geotechnical Project Engineer

Auburn, AL · On-site

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound engineering principles and be able to communicate complex engineering issues and concepts to technical and ...

TERRACON

Geotechnical Project Engineer

Auburn, AL · On-site

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound engineering principles and be able to communicate complex engineering issues and concepts to technical and ...

Terracon

Geotechnical Project Engineer

Auburn, AL · On-site

$70 - $90/hr

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound engineering principles and be able to communicate complex engineering issues and concepts to technical and ...

Knauf Insulation

Process Engineer

Lanett, AL · On-site

As a Process Engineer, you will monitor and control the plant's cold-end processes, including ... You will analyse process and product data provided by Process Technicians, Production ...

Knauf Insulation

Process Engineer

Lanett, AL · On-site

As a Process Engineer, you will monitor and control our cold-end processes in the plant including ... Analyze processes and product data provided by Process Technicians, Production Superintendents, and ...

Knauf Insulation

Process Engineer

Lanett, AL · On-site

As a Process Engineer, you will monitor and control the plant's cold-end processes, including ... You will analyse process and product data provided by Process Technicians, Production ...

Knauf Insulation

Process Engineer

Lanett, AL · On-site

As a Process Engineer, you will monitor and control our cold-end processes in the plant including ... Analyze processes and product data provided by Process Technicians, Production Superintendents, and ...

Knauf Insulation

Process Engineer

Lanett, AL · On-site

As a Process Engineer, you will monitor and control the plant's cold-end processes, including ... You will analyse process and product data provided by Process Technicians, Production ...

Knauf Insulation

Process Engineer

Lanett, AL · On-site

As a Process Engineer, you will monitor and control our cold-end processes in the plant including ... Analyze processes and product data provided by Process Technicians, Production Superintendents, and ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Auburn, AL

Data Engineer information

See Auburn, AL salary details

$37.2K

$108.4K

$148.3K

How much do data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data engineer in Auburn, AL is $108,406.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,700.00 and $114,900.00 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 Auburn, AL?

The most popular types of Data Engineer jobs in Auburn, AL are:

What cities near Auburn, AL are hiring for Data Engineer jobs?

Cities near Auburn, AL with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Auburn, AL as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $108,406 per year, or $52.1 per hour.

Student Developer & Data Analyst

Auburn University

Auburn University, AL • On-site

$10/hr

Full-time

Posted 11 days ago

Auburn University rating

6.2

Company rating: 6.2 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

547th of 620 rated colleges and universities

Job description

Overview
Supports the Auburn University Subject Matter Experts (AUSME) development team by assisting with programming tasks, data analysis, and system improvements. Responsibilities include implementing new features in Python, managing MySQL databases, working with server-side components, version control (GitHub), and handling data analytics tasks such as dataset management, data quality checks, and performance reporting. This position offers hands-on experience working on a real production system used across Auburn University.
Check out our current tool at: https://ausme.auburn.edu/
Responsibilities
  • Assist with the development of new Auburn University Subject Matter Experts (AUSME) system features using Python.
  • Work with MySQL to query, update, and maintain Auburn University Subject Matter Experts (AUSME) datasets.
  • Support server-side scripts, data pipelines, and backend processes.
  • Use GitHub for version control, issue tracking, and collaboration.
  • Perform data analytics tasks, including dataset validation, data cleaning, data visualization, and generating usage or performance reports.
  • Analyze Google Analytics and other system metrics to support decision-making.
  • Help review and curate AUSME data to ensure accuracy and consistency.
  • Collaborate with the Auburn University Subject Matter Experts development team to troubleshoot bugs, test new features, and ensure smooth system operation.

Qualifications
  • Enrolled student at Auburn University

Minimum Knowledge, Skills, and Abilities
  • Proficiency in Python (ability to write scripts, handle data, and work with APIs).
  • Familiarity with MySQL or other relational databases.
  • Experience with GitHub or other version control tools.
  • Understanding of server-side scripting or willingness to learn.
  • Experience or interest in data analytics
  • Experience with Google Analytics (preferred but not required).
  • Highly attentive to detail.
  • Curiosity, creativity, and willingness to learn new technologies.

Why Work at Auburn?
Why should YOU consider student employment at Auburn University?
  • Gain valuable work experience! Student employment allows you to explore different interests, identify strengths, and make informed decisions about your future career goals.
  • Build your network! Interacting with faculty, staff, and fellow students can lead to valuable connections and potential mentors.
  • Make a difference! Have the satisfaction of knowing YOU are a part of providing the premier academic experience at Auburn and the life-changing work our students and employees perform.

Equal Opportunity Compliance Statement
It is our policy to provide equal employment and education opportunities for all individuals without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, gender expression, pregnancy, age, disability, protected veteran status, genetic information, or any other classification protected by applicable law. Please visit the Office of Equal Opportunity Compliance's website to learn more.

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