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Full Time Data Engineering Jobs in Atlanta, GA (NOW HIRING)

Senior Director, Data Engineering

Atlanta, GA · On-site

$101K - $138K/yr

... full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work ... Skills: Data Engineering, Data Processing, DevOps, Java Virtual Machine (JVM), Stakeholder ...

New

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Provide technical guidance and best practices to the data engineering and business teams ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or ...

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Provide technical guidance and best practices to the data engineering and business teams ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or ...

Data Engineer - GCP

Atlanta, GA · Remote

$117K - $140K/yr

Provide technical guidance and best practices to the data engineering and business teams ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or ...

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

Provide technical guidance and best practices to the data engineering and business teams ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or ...

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Atlanta, GA Duration: FULL TIME / C2H Mode: Hybrid ( 3 days a Week) This Data Engineering Lead (Marketing) position is part of Client IT's Marketing Technology team focused on enabling the ...

Atlanta, GA Duration: FULL TIME / C2H Mode: Hybrid ( 2 days a Week) This Data Engineering Lead (Marketing) position is part of Client IT's Marketing Technology team focused on enabling the ...

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer Duration: FULL TIME (Accepting H1B Transfer ) Location: Atlanta, GA - On-Site ( Hybrid) Data Engineer (ONSITE)- Receive requests from Business and perform architectural assessment and ...

Bachelor's degree in computer science, Engineering, Applied Mathematics or related STEM field * Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning ...

Bachelor's degree in computer science, Engineering, Applied Mathematics or related STEM field * Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning ...

Bachelor's degree in computer science, Engineering, Applied Mathematics or related STEM field * Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning ...

Lead Data Engineer

Atlanta, GA · On-site

$98K - $129K/yr

Location: Atlanta, GA (Hybrid) **Mode: FullTime **Note: Only USC and GC can apply ... Requirements:** - Expert years of hands-on experience in Data Engineering across On-Premises and ...

J0826-0289 Employment Type: Full Time Position Description: Bring your data engineering and data science experience to a top brand in Atlanta to build insights for stakeholders across the business.

Palantir Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

The ideal candidate will apply strong data engineering and software development practices to build ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Palantir Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

The ideal candidate will apply strong data engineering and software development practices to build ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Showing results 1-20

Full Time Data Engineering information

See Atlanta, GA salary details

$42.8K

$124.7K

$170.7K

How much do full time data engineering jobs pay per year?

As of Aug 10, 2026, the average yearly pay for full time data engineering in Atlanta, GA is $124,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $132,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a full time data engineer?

To thrive as a Full Time Data Engineer, you need strong programming skills (such as Python or Java), proficiency in SQL, and a solid understanding of data modeling and ETL processes, usually supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop or Spark), cloud platforms (such as AWS or Azure), and relevant certifications (e.g., Google Cloud Data Engineer) is highly valuable. Excellent problem-solving, communication, and teamwork abilities distinguish top performers in this role. These skills ensure efficient data infrastructure development, reliable data pipelines, and effective collaboration with cross-functional teams to support business objectives.

What is a full time data engineer?

Full time data engineering jobs involve building, managing, and optimizing data pipelines and infrastructure to collect, process, and store large volumes of data for organizations. Data engineers work with technologies like SQL, Python, cloud platforms, and big data tools to ensure data is reliable and accessible for analytics and business decision-making. These roles typically require strong programming skills, knowledge of database systems, and experience with data modeling and ETL (Extract, Transform, Load) processes. Full time positions generally offer benefits and require a standard workweek commitment, often in tech, finance, healthcare, or other data-driven industries.

What is the difference between Full Time Data Engineering vs Part Time Data Engineering?

AspectFull Time Data EngineeringPart Time Data Engineering
Work HoursTypically 40 hours/weekLess than 20 hours/week
CredentialsRelevant degrees, certifications like AWS, GCP, or AzureSame as full-time, but often less emphasis on certifications
Work EnvironmentFull-time employment, often in corporate or tech firmsFreelance or contract basis, flexible locations
Job ResponsibilitiesDesigning, building, maintaining data pipelinesSupporting existing pipelines, smaller projects

Full Time Data Engineering involves a standard 40-hour workweek with comprehensive responsibilities in designing and maintaining data systems. Part Time Data Engineering offers flexible hours, often focusing on specific tasks or projects. Both roles require relevant technical skills and certifications, but full-time positions typically demand more extensive experience and commitment.

What are some common challenges faced by full time data engineers, and how can they be addressed?

Full-time data engineers often encounter challenges such as integrating data from diverse sources, ensuring data quality, and optimizing data pipelines for scalability and performance. These issues can be addressed by adopting robust ETL (Extract, Transform, Load) frameworks, implementing automated data validation tests, and collaborating closely with data analysts and software engineers to align on data requirements. Staying updated with the latest cloud technologies and best practices in data architecture also helps in overcoming these challenges and maintaining efficient, reliable data systems.
What are the most commonly searched types of Data Engineering jobs in Atlanta, GA? The most popular types of Data Engineering jobs in Atlanta, GA are:

Senior Director, Data Engineering

The Coca-Cola Company

Atlanta, GA • On-site

$243K/yr

Full-time

Posted 3 days ago

New


Coca-Cola Consolidated rating

7.3

Company rating: 7.3 out of 10

Based on 105 frontline employees who took The Breakroom Quiz

178th of 436 rated food and drinks producers


Job description

Job Description Summary:
At The Coca-Cola Company, we believe data is the foundation for creating personalized experiences and powering sustainable growth in today's digital-first world. As consumers engage with our brands in more connected ways than ever before, we are investing in advanced data and analytics platforms to unlock deeper insights, accelerate decision-making, and enable seamless innovation at scale.
In this role, you will combine deep technical expertise with leadership excellence, enabling scalable architectures that power intelligent operations and actionable insights throughout the Coca-Cola system. We seek a visionary yet hands-on leader capable of advancing modern engineering practices and fostering inclusive, high-performing teams. If you excel at translating complex data challenges into robust solutions and thrive at the intersection of architecture, innovation, and talent development, this is your chance to make a meaningful impact on how we digitally enable Coca-Cola's future.
Core Responsibilities
  • Provide Strategic Technical Leadership: Champion modern data engineering principles and a systems-thinking approach across multiple teams, ensuring architectural integrity and alignment with Coca-Cola's Enterprise Data Engineering strategy.
  • Develop and Inspire High-Performing Teams: Lead and mentor a diverse team of data engineering leads and professionals, building capabilities in advanced data architectures, fostering a culture of learning, and supporting career progression.
  • Drive Engineering Excellence: Promote software engineering best practices - advancing modular design, functional programming standards, and continuous testing across all data pipelines, products, and platform solutions.
  • Architect Reusable Frameworks and Libraries: Drive the design and development of extensible, shared data engineering frameworks and internal libraries. Standardize pipeline creation, accelerate the delivery of robust data products, and minimize code duplication across Medallion architectures and distributed workloads.
  • Enhance Performance and Optimization: Apply advanced techniques for Spark workload tuning - addressing memory, partitioning, and query planning to deploy efficient, large-scale batch and streaming data engineering processes.
  • Enable Platform Resiliency and Cost Efficiency: Partner with cloud and Fabric service teams to optimize data infrastructure workloads at scale, balancing operational performance with fiscal stewardship while supporting Coca-Cola's digital transformation objectives.

Required Qualifications & Experience
  • Bachelor's degree in computer science, Engineering, Data Science, or a related field; advanced degree preferred.
  • Engineering Leadership (10+ years): Proven experience managing, mentoring, and scaling software or data engineering teams, with a strong track record of leading complex data projects and developing senior engineering staff.
  • Stakeholder Engagement: Strong communication skills, partnering effectively across business, technology, and product teams to deliver scalable data solutions aligned to enterprise objectives.
  • Software Engineering (8+ years): Extensive polyglot development experience on the JVM, with a strict requirement for deep proficiency in Scala. Must demonstrate a strong grasp of functional programming, concurrency models, and modularization.
  • Data Processing & Spark Expertise (6+ years): Deep, hands-on experience building, debugging, and optimizing distributed computing applications and large-scale data pipelines using Apache Spark.
  • DevOps & CI/CD: Proven ability to build automated release cycles. Hands-on expertise with Git, GitHub Actions, and build tools (Maven/SBT, UV are required).
  • Delivery: Experience in Agile development (Scrum, lean techniques) and collaborating with global engineering teams.

Preferred Qualifications
  • Certification in cloud platforms or data engineering (e.g., Azure Solutions Architect, DP-700, Databricks Certified Professional).
  • Background in platform cost governance and workload performance modeling at enterprise scale.

The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.
Skills:
Data Engineering, Data Processing, DevOps, Java Virtual Machine (JVM), Stakeholder Engagement, Team Leadership
Pay Range:
United States of America: 202,000 USD - 229,000 USD
Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
Annual Incentive Reference Value Percentage:
30
Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.
Location(s):
United States of America
City/Cities:
Atlanta
Travel Required:
00% - 25%
Relocation Provided:
No
Job Posting End Date:
August 14, 2026
Our Purpose and Growth Culture:
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.

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About Coca-Cola Consolidated

Sourced by ZipRecruiter

Coca-Cola Consolidated, based in Charlotte, NC, US, is a preeminent company in the beverage industry. The company is the largest independent bottler for The Coca-Cola Company in the United States. The company’s product portfolio includes prominent beverages such as Coca-Cola, Diet Coke, Sprite, and a variety of other beverages produced by The Coca-Cola Company. Founded in in 1980 after multiple expansions and mergers, the company has since gained a steadfast reputation in the industry as a leading bottler and distributor. Coca-Cola Consolidated's core values are committed to excellence, committed to service, committed to a higher calling, and committed to each other. Their mission is to share in the refreshment, fun, and fellowship of happiness found in The Coca-Cola Company’s beverages. Their notable achievements include not only market expansion but also their history of giving back to the communities where they operate, signifying their dedication to corporate social responsibility.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US