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Data Engineer Jobs in Athens, GA (NOW HIRING)

Consulting and requirements engineering with and for key stakeholders within USA & North America.* Project Management, consulting and development for global Data & Analytics projects with focus on ...

Manufacturing Engineer

Comer, GA ยท On-site

$65K - $70K/yr

... Use data and engineering analysis to reduce scrap, rework, cycle time, cost, and variation. ยท Apply SPC and measurement data to monitor stability, identify trends, and drive manufacturing ...

Solutions Engineer, Remote

Athens, GA ยท On-site

$120K - $140K/yr

Serve as a subject matter expert on Aperia's products, pilot data, and algorithm behavior to ... A degree in Engineering, Business administration or related field required. * 3+ years of ...

September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ... data is trusted, traceable, and ready to act on. With an unbroken path from source to output ...

September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ... data is trusted, traceable, and ready to act on. With an unbroken path from source to output ...

Analyze data and ROI to support engineering and cost-saving decisions. * Apply TPS, Lean Manufacturing, 5S, JIT, and PDCA principles to daily work. What We're Looking For Required: * Bachelor ...

Resident Engineer

Athens, GA ยท On-site

$82K - $105K/yr

Deliver statistical analysis of data on competition, customer direction, product performance ... Engineer process variation reduction * Employ advanced problem-solving expertise to correct ...

Showing results 21-40

Data Engineer information

See Athens, GA salary details

$43K

$125.3K

$171.4K

How much do data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data engineer in Athens, GA is $125,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,600.00 and $132,800.00 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.

What are the most commonly searched types of Data Engineer jobs in Athens, GA?

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

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

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

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

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

Infographic showing various Data Engineer job openings in Athens, GA as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 16% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $125,252 per year, or $60.2 per hour.

Senior Data & Analytics Specialist

Hikoki

Braselton, GA โ€ข On-site

$90 - $120/hr

Other

Posted 16 days ago


Key responsibilities

  • Consult with and gather requirements from key stakeholders within USA & North America to support Data & Analytics projects.

  • Manage and support global Data & Analytics projects, ensuring alignment with regional and global strategies.

  • Collaborate with global ERP teams and support ERP projects, translating processes and governance between global and regional teams.


Job description

## Senior Data & Analytics SpecialistBewerbenlocations: Braseltontime type: Vollzeitposted on: Heute ausgeschriebenjob requisition id: JR\_1002377**Dein neuer Arbeitgeber sucht impulsgebende Macher:innen!**Unsere weltweit anerkannten Elektrowerkzeuge werden von unseren 4.500 Mitarbeitenden aus รผber 100 Lรคndern mit grรผnem Herzblut entwickelt, produziert und verkauft.Professionelle Anwender:innen auf der ganzen Welt vertrauen auf unsere Marken **Metabo, HiKOKI** und **Carat** in der KOKI Group.Dies unterstreichen auch unsere รผber 50 nachhaltigen Akku-Partnerschaften im Cordless Alliance System (CAS). Bei uns ergรคnzen sich Tradition und Innovation sowie Internationalitรคt und Bodenstรคndigkeit zu einem stimmigen Ganzen.**Entdecke auch Du unsere Power und schraube an der KOKI-Zukunft mit!****Job Purpose**The position acts as an important project and process liaison between global teams and regional stakeholders (USA).Main responsibilities for this position are:* Consulting and requirements engineering with and for key stakeholders within USA & North America.* Project Management, consulting and development for global Data & Analytics projects with focus on North America* Close collaboration with global ERP members and partial support for ERP projects* Translation of processes, governance and requirements between global Competence Center Data & Analytics and North America business members* Development, Consulting and supporting projects within the global GCC Data & Analytics* Align regional requirements with global strategyThe position must be responsible and empowered to translate and ensure project governance and guidelines into North America (NA) SBU. Position will gather requirements and perform active stakeholder management within the SBU NA and also supporting global projects.Position will be part of the Global Competence Center (GCC) and report directly into Team Leader of Data & Analytics.Overall, the role is not purely technical but a key business-facing position, requiring strong regional presence to ensure adoption, governance, and long-term success**Responsibilities*** **Consulting:** Consulting within projects and translation from business processes and expectations into clear IT as well as Data & Analytics requirement.* **Business Process Optimization:** Collaborate closely with several business stakeholders in various departments to optimize processes, enhance efficiency of data & reporting solutions.* **Standardization:** Ensure Data & Analytics standardization of reporting solutions, data platforms and governance within the KOKI group with a special focus on SBU North America* **Customer focus:** Focus and understanding of our internal customers and their processes is a key competence* **Implementation and Optimization:** Active development support within KOKIโ€™s data and reporting solution. Discover potential, and ongoing improvement of the solutions and tools for Data & Analytics across all business units.* **Project Management:** Target orientated project management of various local and global Data & Analytics projects, following KOKI IT project management guidelines and IT strategy* **Collaboration with stakeholders:** Close collaboration and engagement with business stakeholders to understand business requirements.* Strong and close collaboration is needed with the GCC ERP* Enables effective consulting, training, and adoption of modern technologies (e.g., Snowflake, Power BI, AI) within the regional business community* Ensures compliance with US-specific data privacy regulations and effective integration of local and external data sources* Acts as a key resource partner for local business analysts, combining deep understanding of regional requirements with detailed knowledge of the global data platform and its available data assets* Provides deep understanding of local business processes and ensures they are properly reflected in global data models and solutions* Provides direct and timely hands-on support for local applications and business process needs.* Strengthens the global โ€œfollow-the-sunโ€ support model across Japan, India (GCC), Europe, and North America* Aligns with the global Data & Analytics strategy to standardize reporting, improve governance, and transition from local to global solutions**Position Requirements/Qualification*** **Education:** Bachelorโ€™s degree in Computer Science / Business Informatics or a related field.* **Experience:** At least 5 years of experience in the area of Data & Analytics* **Technical Expertise**: + In-depth knowledge of reporting and data systems, with modern data platforms, especially Snowflake and reporting solutions like Power BI. Also, well versed in SQL / Data Modeling. + Proven experience in extraction, transformation, harmonization and loading of data from various source systems into Data Lakehouse solutions. + Experience in data modelling and cloud data architecture like medallion concepts. Expert in the evaluation and recommendation of technical solutions. Prior experience in consulting or ERP analytics is a plus. + Deep understanding of programming languages like Python combined with an AI driven mindset* **P****roject** **Management Expertise:** Experienced in Project Management methodologies (Agile / Waterfall / Hybrid). Strong understanding of continuous improvement methodologies.* **Communication:** Strong communication skills with focus on clarity.* **Multinational Team Experience**: Successfully collaborate with diverse, international teams and facilitate alignment to ensure that technical outputs (like dashboards, data models, and reports) truly meet business goals.* **Business Trips**: Willingness to travel up to 10% for global engagements.* **Risk Management:** Knowledge of risk identification, assessment, and mitigation strategies within the context of business processes.* **Team Player:** A collaborative and team-oriented approach, combined with hands on mentality with the ability to work effectively with cross-functional teams and individuals at all levels of the global KOKI organization.* **M****indset:** Result-driven Mindset.* **Language Proficiency:** English, any other languages, e.g. Japanese is an advantage.**Dein nรคchster Schritt -- mit Sicherheit:**Wenn Du Dein Interesse mitteilen mรถchtest, zรถgere nicht Dich zu bewerben.Nutze dazu unseren Button "Jetzt Bewerben".Du kannst auch jemanden weiterempfehlen. Du fragst Dich was Chancengleichheit fรผr KOKI bedeutet? Wir glauben an Vielfalt und Inklusion! **Melde Dich, wir freuen uns darauf Dich kennen zu lernen!** #J-18808-Ljbffr