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Data Engineers Jobs in Georgia (NOW HIRING)

Lead Data Engineer

Sandy Springs, GA · On-site

$110K - $132K/yr

Lead sessions with data engineers and provide necessary guidance to solve technical challenges * Develop new and/or enhance existing data processes (Data Ingest, Data Transformation, Data Store, Data ...

Lead Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Lead sessions with data engineers and provide necessary guidance to solve technical challenges * Develop new and/or enhance existing data processes (Data Ingest, Data Transformation, Data Store, Data ...

Lead Data Engineer

Atlanta, GA

$110K - $132K/yr

Lead sessions with data engineers and provide necessary guidance to solve technical challenges * Develop new and/or enhance existing data processes (Data Ingest, Data Transformation, Data Store, Data ...

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

Collaborate with Data Engineers, Developers, and Product Owners to ensure adherence to data quality standards * Identify, log, and track defects using Jira and Zephyr Scale, ensuring timely ...

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

Work closely with data scientists and engineers to ensure reliable and trustworthy AI solutions * Support testing of model retraining, versioning, and deployment pipelines Automation & Engineering

Online Data Engineer Manager

Atlanta, GA · On-site

$108K - $130K/yr

Data Engineers develop application programming interfaces (APIs) to retrieve data. Our Data Engineers develop, host, and maintain in-house enterprise solutions to improve reliability and confidence ...

IT Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Mentor and coach data engineers across the team, establishing technical growth paths and skill development. * Drive adoption of engineering best practices including code review standards, testing ...

IT Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Mentor and coach data engineers across the team, establishing technical growth paths and skill development. * Drive adoption of engineering best practices including code review standards, testing ...

Lead a team of data engineers through coaching, mentorship, and technical guidance * Support individual career development and performance feedback, creating growth opportunities for your team

Lead a team of data engineers through coaching, mentorship, and technical guidance * Support individual career development and performance feedback, creating growth opportunities for your team

Lead a team of data engineers through coaching, mentorship, and technical guidance * Support individual career development and performance feedback, creating growth opportunities for your team

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

In addition to leading the design and implementation of data products, you will also mentor and develop a team of contingent worker data engineers onsite and offshore. Duties and Responsibilities ...

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

In addition to leading the design and implementation of data products, you will also mentor and develop a team of contingent worker data engineers onsite and offshore. Duties and Responsibilities ...

Data Engineer II - AMZ27052.1

Atlanta, GA · On-site

$132K - $178K/yr

Mentor junior data engineers. (40 hours / week, 8:00am-5:00pm, Salary Range $132100 - $178800) Amazon.com is an Equal Opportunity - Affirmative Action Employer - Minority / Female / Disability ...

Here,you'llwork with and guide a multi-disciplinary team of analysts, data engineers, clinical SMEs, developers, and data consumers in a fast-paced, agile environment.You'lluse your experience in ...

Data Quality Engineer

Alpharetta, GA · Remote

$111K - $134K/yr

Collaboration and Leadership Collaborate with data engineers, analysts, QA teams, and business stakeholders to define testing requirements, improve data quality processes, and support reporting ...

Data Engineer

Atlanta, GA · On-site

$77K - $176K/yr

Here, you'll work with and guide a multi-disciplinary team of analysts, data engineers, clinical SMEs, developers, and data consumers in a fast-paced, agile environment. You'll use your experience in ...

In addition to leading the design and implementation of data products, you will also mentor and develop a team of contingent worker data engineers onsite and offshore. Duties and Responsibilities ...

Here,you'llwork with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced and agile environment.You'llsharpen your skills in analytical exploration ...

Data Engineer

Atlanta, GA · On-site

$77K - $176K/yr

Here, you'll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced and agile environment. You'll sharpen your skills in analytical ...

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Showing results 1-20

Data Engineers information

See Georgia salary details

$37.6K

$109.5K

$149.9K

How much do data engineers jobs pay per year?

As of Aug 1, 2026, the average yearly pay for data engineers in Georgia is $109,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $116,100.00 per year, depending on experience, location, and employer.

Is a data engineer a high paying job?

Data engineers typically earn high salaries due to their specialized skills in designing and maintaining data pipelines, working with tools like SQL, Python, and cloud platforms. Compensation varies by experience, location, and industry, but overall, it is considered a well-paying role in the tech field.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, build, and maintain data infrastructure. Data engineers are essential for managing complex data pipelines, ensuring data quality, and implementing scalable solutions using tools like SQL, Python, and cloud platforms. Their expertise remains critical in developing and overseeing AI systems and analytics workflows.

What does a data engineer actually do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, store, and process 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 engineers make 500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries of $500,000 or more, especially in high-cost living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How do Data Engineers typically collaborate with Data Scientists and other team members on data-driven projects?

Data Engineers play a crucial role in enabling data-driven projects by designing, building, and maintaining the data infrastructure that Data Scientists and analysts rely on. They often work closely with Data Scientists to understand their data requirements, ensure data quality, and optimize data pipelines for efficient analysis. Collaboration involves frequent communication to align on data formats, data availability, and performance needs, as well as troubleshooting issues that may arise with data ingestion or transformation. This teamwork ensures that data is accessible, reliable, and actionable, which is essential for successful analytical and machine learning initiatives.

What is the difference between Data Engineers vs Data Analysts?

AspectData EngineersData Analysts
Required CredentialsBachelor's in Computer Science, Engineering, or related field; often certifications in cloud platforms or data engineering toolsBachelor's in Statistics, Mathematics, or related field; certifications in data analysis or visualization tools
Work EnvironmentBuild and maintain data pipelines, work with big data technologies, often in cloud environmentsAnalyze data, create reports and dashboards, work with business teams
Employer & Industry UsageTech companies, finance, healthcare, e-commerce; focus on data infrastructureMarketing, finance, retail, healthcare; focus on data insights for decision-making

Data Engineers focus on developing and maintaining data infrastructure, while Data Analysts interpret data to provide actionable insights. Both roles are essential but serve different functions within data teams.

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 strong skills in programming (especially Python, Java, or Scala), database management, data modeling, and typically a degree in computer science or a related field. Familiarity with big data tools like Hadoop, Spark, SQL/NoSQL databases, and cloud platforms (AWS, Azure, or GCP) as well as relevant certifications are common technical requirements. Excellent problem-solving, attention to detail, and effective communication are soft skills that help Data Engineers excel in collaborative and fast-paced environments. These skills are crucial for ensuring robust, scalable, and efficient data pipelines that support reliable analytics and business decision-making.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain systems that collect, store, and process large amounts of data. Their primary role is to ensure that data is accessible, reliable, and efficiently structured for analysis by data scientists and other stakeholders. They work with various tools and technologies to create pipelines that move and transform data from multiple sources, making it usable for business intelligence and analytics. Data Engineers also focus on optimizing data workflows to ensure scalability and performance.
What cities in Georgia are hiring for Data Engineers jobs? Cities in Georgia with the most Data Engineers job openings:
Infographic showing various Data Engineers job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $109,530 per year, or $52.7 per hour.

Lead Data Engineer

Inspire Brands, Inc.

Sandy Springs, GA • On-site

$110K - $132K/yr

Full-time

Posted 8 days ago


Inspire Brands rating

5.8

Company rating: 5.8 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

27th of 106 rated fast food restaurants


Job description

Inspire Brands is hiring a Lead Data and AI Engineer for the Enterprise Data Organization to design, build and manage data pipelines (Data ingestion, data transformation, data distribution, quality rules, data storage etc.) using cutting edge AI solutions (Generative AI, Agentic AI, etc.). The candidate will need to possess strong technical, analytical, programming and critical thinking skills.
RESPONSIBILITIES
  • Lead/guide multiple technical data engineering team members
  • Lead by example - designing, building, maintaining and using of our platforms and services to manage data
  • Design, develop, deploy including documenting AI solutions from concept to operationalization
  • Demonstrate and guide implementation of Infrastructure as code, automated testing and modern observability strategies
  • Responsible for growing an engineering culture of craftsmanship through mentoring, technical leadership as well as formal and informal presentations across data teams at Inspire
  • Work closely with Product owners/managers to understand the business needs
  • Collaborate with architects, data modelers and other team members to design Data and AI jobs to fulfill business needs
  • Lead sessions with data engineers and provide necessary guidance to solve technical challenges
  • Develop new and/or enhance existing data processes (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality)
  • Actively contribute towards setting up and refining data engineering best practices
  • Help data engineers adhere to coding standards, best practices, etc. and produce production deployable code that is robust, scalable and reusable
  • Document technical artifacts for data engineering solutions
  • Stay up-to-date with latest AI trends and integrate emerging technologies to drive improved system performance with balanced operational pragmatism

EDUCATION AND EXPERIENCE QUALIFICATIONS
  • 8+ years of experience in a data engineering role required
  • 5+ years of experience with advanced SQL queries, scripts, stored procedures, materialized views, and views
  • 5+ years of hands-on design and development experience in the data space specifically focused on ELT to load data and perform transformations in databases
  • 3+ years of experience with DevOps Models utilizing CI/CD tools
  • Experience in one of the cloud platforms like Azure, AWS, GCP is required, Azure specifically is preferred
  • Demonstrated hands on experience with Python is required
  • Snowflake experience a plus

REQUIRED KNOWLEDGE, SKILLS, OR ABILITIES
  • Strong ability to use analytical SQL functions
  • Ability to delivery AI/ML projects from POC to production and support leveraging GitHub Copilot, Azure OpenAI, AI Search, Temporal, Pydantic AI, etc
  • Strong expertise in LLMs building agents: open/closed-source models, advanced prompt engineering techniques, RAG, Agentic AI, document processing, vector/hybrid search, guardrails, observability & monitoring, and LLM evaluation
  • Ability to work hands-on in a Cloud environment of Azure Cloud Platform (ADLS, Blob)
  • Strong skills one of the ETL tools like Informatica, Talend, Azure Data Factory, and BI tools like Tableau preferred
  • Strong skills with orchestration tools like Apache Airflow
  • Expert ability to analyze data models
  • Strong skills performance tuning and scaling of services
  • Good interpersonal skills; comfort and competence in dealing with different teams within the organization
  • Skilled leveraging Agile practices and methodologies

This position is based in our Atlanta Support Center, with an expected on-site presence of 80%.
Inspire is a multi-brand restaurant company whose portfolio includes more than 33,300 Arby's, Baskin-Robbins, Buffalo Wild Wings, Dunkin', Jimmy John's, and SONIC restaurants worldwide. We're made up of some of the world's most iconic restaurant brands, but we're much more than just a restaurant company. We're a team of hundreds of thousands who individually and collectively are changing the way people eat, drink, and gather around the table. We know that food is much more than a staple-it's an experience. At Inspire, that's our purpose: to ignite and nourish flavorful experiences.

What Inspire Brands employees say

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Benefits

Hours and flexibility

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Inspire Brands logo

About Inspire Brands

Sourced by ZipRecruiter

Inspire Brands Inc., located in Atlanta, GA, United States, operates in the foodservice industry as a multi-brand restaurant company, making it among the biggest restaurant companies globally. Their portfolio includes well-known restaurant brands such as Arby's, Buffalo Wild Wings, Sonic, and Jimmy John's, reflecting their commitment to innovation and quality. Founded in 2018 as a result of a consolidation of various restaurant brands under one corporate umbrella, Inspire Brands was formed with a vision to invigorate excellent brands and supercharge their long-term growth.

Industry

Food services and drinking places

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

2018