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Data Engineer Jobs in Augusta, GA (NOW HIRING)

DigiFlight, Inc.

Data Scientist

Augusta, GA · On-site

$90 - $130/hr

Data Scientist Augusta, GA, Augusta, GA, US 3 days ago Requisition ID: 2842 Data Scientist Level 2- ... Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific ...

Textron

Data Scientist

Augusta, GA · On-site

... data usability ... Partners with engineering, IT, and business stakeholders to deploy analytics solutions into ...

Athena Technology Group, Inc. (ATG)

ATG is an Equal Opportunity/Affirmative Action Employer Minorities/Females/Vets/Disability Job Summary We are seeking a Data Scientist / Machine Learning Engineer to support advanced analytics and ...

iNovex Information Systems

Data Scientist 2

Augusta, GA · On-site

Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe ...

iNovex Information Systems

Data Scientist 3

Augusta, GA · On-site

Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe ...

Clarity Innovations

Senior Platform Engineer

Augusta, GA · On-site

$98K - $134K/yr

Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare ...

Socket.dev

Senior Platform Engineer

Augusta, GA · On-site

$140 - $190/hr

Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare ...

Weeghman & Briggs LLC

Data Scientist 2

Augusta, GA · On-site

$114K - $127K/yr

... utilizes skills in programming languages, develops prototype algorithms, as well as algorithm refinements, and supports data visualization and analyticsWhat You BringActive TS/SCI with ...

Weeghman & Briggs LLC

Data Scientist 2

Augusta, GA · On-site

$114K - $127K/yr

Perform tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms, as well as algorithm refinements, and supports data visualization ...

Weeghman and Briggs

Data Scientist 2

Augusta, GA · On-site

$114K - $127K/yr

Perform tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms, as well as algorithm refinements, and supports data visualization ...

Weeghman & Briggs LLC

Data Scientist 2

Augusta, GA · On-site

$115 - $128/hr

Perform tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms, as well as algorithm refinements, and supports data visualization ...

IntelliGenesis LLC

Data Scientist Level 2

Blythe, GA · On-site

$43K - $95K/yr

Through analytic modeling, statistical analysis, programming, and/or other appropriate scientific ... Data science * Advanced analytical algorithms * Programming (skill in at least one high-level ...

IntelliGenesis

Data Scientist Level 2

Blythe, GA · On-site

Through analytic modeling, statistical analysis, programming, and/or other appropriate scientific ... Data science * Advanced analytical algorithms * Programming (skill in at least one high-level ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Augusta, GA

Data Engineer information

See Augusta, GA salary details

$35.1K

$102.2K

$139.9K

How much do data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data engineer in Augusta, GA is $102,216.00, 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 are the most commonly searched types of Data Engineer jobs in Augusta, GA?

The most popular types of Data Engineer jobs in Augusta, GA are:

What job categories do people searching Data Engineer jobs in Augusta, GA look for?

The top searched job categories for Data Engineer jobs in Augusta, GA are:

What cities near Augusta, GA are hiring for Data Engineer jobs?

Cities near Augusta, GA with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Augusta, GA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $102,216 per year, or $49.1 per hour.

Machine Learning Engineer

KSB SE and Co KGaA

Grovetown, GA • On-site

Full-time

Re-posted 17 days ago

Job description

KSB is a leading supplier of pumps, valves and related service. Our reliable, high-efficiency products are used in applications wherever fluids need to be transported or shut off, covering everything from building services,industry and water transport to waste water treatment, power plant processes and mining. Founded in 1871 in Frankenthal, Germany, the company has a presence on all continents with its own sales and marketing organisations and manufacturing facilities. Around the globe, more than 190 service centres and around 3,500 service specialists are on hand to provide local inspection, servicing, maintenance and repair services under the KSB SupremeServ brand. Innovative technology that is the fruit of KSB's research and development activities forms the basis for the company's success.
People. Passion. Performance. It is these three success factors that make KSB the company it is today.
At KSB, we recognise that it is people who actually make the difference - the people we employ and the people we serve. This is why we are committed to equal rights and treatment worldwide and never lose sight of the aspects ecology and sustainability when manufacturing our products.
Machine Learning Engineer
KSB GIW, Inc.
Department: Engineering, Research & Development
Reports to: Metallurgical and Materials R&D Lab Manager
Location: Grovetown, GA, USA (onsite)
Shift: First
FLSA Status: Salary Exempt
OVERVIEW:
Our R&D group is expanding its use of machine learning to solve real engineering problems, and we're looking for a sharp, hands-on early-career engineer to join the team.
You'll work at the intersection of machine learning and the physical world to build AI systems that learn from real industrial data and connect with the engineering models behind them. The role lives where machine learning meets scientific computing: surrogate modeling, data-driven approximations of physical systems, and ML models that respect the underlying engineering principles.
You'll build the data foundation that powers this work, implement and train models that bridge physics-based simulation with modern machine learning, and work closely with an experienced technical lead who will guide your growth across data engineering, scientific ML, and emerging AI tooling.
RESPONSIBILITIES:
  • Build and maintain the data foundation: ingestion, cleaning, transformation, validation, and metadata standards
  • Implement and train machine learning models using Python and modern frameworks (PyTorch)
  • Contribute to applied AI tooling that supports the broader R&D workflow
  • Develop visualization and dashboard interfaces that present results to end users
  • Run experiments, track results, and report findings against defined targets
  • Help bring prototype code to production quality: testing, documentation, version control
  • Collaborate with team members across engineering disciplines

QUALIFICATIONS:
  • Education: Bachelor's degree required; master's preferred in Computer Science, Engineering, Applied Math, Physics, or a related field

  • Experience: 1-3 years of professional or substantial project experience in machine learning, data engineering, or scientific computing

SKILLS / COMPETENCIES
Required:
  • Solid Python skills with hands-on experience using core libraries:
    • Machine learning: PyTorch, scikit-learn
    • Data: NumPy, pandas
    • Scientific computing: SciPy, Matplotlib
  • Foundational understanding of scientific computing: numerical methods, simulation concepts, or modeling of physical systems - this is essential to the role
  • Foundational understanding of neural networks, model training, and optimization
  • Experience with version control (Git) and working in a Linux environment
  • Strong written and verbal communication skills
  • Collaborative, coachable attitude
Preferred:
  • Experience building and maintaining data pipelines, metadata schemas, and data quality frameworks
  • Exposure to scientific / physics-informed machine learning (surrogate modeling, embedding physical constraints into ML models)
  • Background in CFD, simulation, computational mechanics, or applied physics
  • Familiarity with agentic AI / LLM frameworks (LangChain, LangGraph, or similar) enough to collaborate effectively, not lead
  • Experience with Jupyter, Docker, MLflow, or FastAPI
  • Front-end / dashboard development experience (React)
  • Cloud compute (AWS or Azure) and GPU-based training
  • Coursework or research projects in numerical methods, engineering, or applied science

PHYSICAL REQUIREMENTS:
  • Primarily desk-type duty

KSB Group is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. KSB makes hiring decisions based solely on qualifications, merit, and business needs at the time.
We value employees who take the initiative and are committed to our company; Employees who take responsibility and for whom business success is the focus of their actions. In return, we offer fair framework conditions for collective wages and pensions, flexible working time models, individual training opportunities and the best career prospects.

Apply