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Data Engineering Jobs in Atlanta, GA (NOW HIRING)

Data Engineer - GCP

Atlanta, GA · Remote

$117K - $140K/yr

Provide technical guidance and best practices to the data engineering and business teams. * Collaborate with security and compliance teams to ensure data governance standards are met. Performance ...

Analyst - Data Engineering Ready to turn bold ideas into real-world impact? At Genpact, we don't just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work ...

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

Provide technical guidance and best practices to the data engineering and business teams. * Collaborate with security and compliance teams to ensure data governance standards are met. Performance ...

Data Engineering Intern

Atlanta, GA · On-site

$31 - $45/hr

SUMMARY As a Data Engineering Intern, you will gain hands-on experience ingesting data into big data platforms and making it available to the business to support decision making and insights. Working ...

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineering Lead (Marketing) Position Description (General role information, job purpose, main objectives of the role) Location: Atlanta, GA Duration: FULL TIME / C2H Mode: Hybrid ( 3 days a ...

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineering Lead (Marketing) Position Description (General role information, job purpose, main objectives of the role) Location: Atlanta, GA Duration: FULL TIME / C2H Mode: Hybrid ( 3 days a ...

Stay up-to-date with emerging data engineering technologies and best practices and proactively recommend improvements to existing systems. * Troubleshoot and resolve data-related issues, ensuring ...

Data Engineer

Alpharetta, GA · On-site

$130K - $196K/yr

Stay up-to-date with emerging data engineering technologies and best practices and proactively recommend improvements to existing systems. * Troubleshoot and resolve data-related issues, ensuring ...

Data Engineer

Alpharetta, GA · On-site

$130K - $196K/yr

Stay up-to-date with emerging data engineering technologies and best practices and proactively recommend improvements to existing systems. * Troubleshoot and resolve data-related issues, ensuring ...

Data Engineer

Alpharetta, GA · On-site

$130K - $196K/yr

Stay up-to-date with emerging data engineering technologies and best practices and proactively recommend improvements to existing systems. * Troubleshoot and resolve data-related issues, ensuring ...

Data Engineer 4

Atlanta, GA · On-site

$110K - $132K/yr

The role involves building and optimizing data pipelines, supporting analytics, and leveraging AI tools to enhance data engineering tasks. Responsibilities : • Building, operating, and optimizing ...

Showing results 21-40

Data Engineering information

See Atlanta, GA salary details

$44.2K

$158.7K

$234.2K

How much do data engineering jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data engineering in Atlanta, GA is $158,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,400.00 and $163,500.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

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:

What job categories do people searching Data Engineering jobs in Atlanta, GA look for?

The top searched job categories for Data Engineering jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Data Engineering jobs?

Cities near Atlanta, GA with the most Data Engineering job openings:

Infographic showing various Data Engineering job openings in Atlanta, GA as of September 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $158,691 per year, or $76.3 per hour.

Data Engineer - GCP

Atlanta, GA • Remote

$117K - $140K/yr

Full-time

Medical, Dental, Vision

Re-posted 6 days ago


Job description

Who We Are: 

We are a dynamic team focused on building innovative and scalable data solutions on Google Cloud Platform (GCP). Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable data pipelines and data infrastructure, ensuring data availability, accuracy, and performance for business insights and machine learning models.


What We Are Looking For: 

We are seeking an experienced and highly skilled Google Cloud Data Engineer who will be responsible for developing and managing data pipelines on GCP. The ideal candidate will bring strong expertise in cloud-based data processing, big data technologies, and data modeling to help us provide high-performance data solutions.


Responsibilities:

Data Pipeline Development and Management:

  • Design, build, and maintain scalable and reliable data pipelines using Cloud Dataflow, Cloud Pub/Sub, and Cloud Composer.
  • Develop ETL/ELT processes to process and transform large volumes of structured and unstructured data.
  • Optimize data pipeline performance, scalability, and reliability.
  • Ensure data processing and ingestion workflows are monitored and meet performance SLAs.

Data Storage and Management:

  • Design and implement data storage solutions using BigQuery, Cloud Storage, and Firestore.
  • Optimize data structures and partitioning for performance and cost efficiency.
  • Ensure data security, integrity, and availability in all storage solutions.
  • Manage data lifecycle policies and archiving processes.

Data Transformation and Processing:

  • Develop data transformation processes using BigQuery, Apache Beam, and Cloud Functions.
  • Implement data quality checks, validation rules, and monitoring solutions.
  • Support real-time and batch data processing needs.

Data Integration and Automation:

  • Integrate data from multiple sources, including APIs, databases, and third-party applications.
  • Automate data ingestion, transformation, and export using tools like Cloud Composer and Cloud Functions.
  • Ensure data consistency across different environments and systems.

Collaboration and Stakeholder Engagement:

  • Work closely with data scientists and analysts to understand data needs and business goals.
  • Provide technical guidance and best practices to the data engineering and business teams.
  • Collaborate with security and compliance teams to ensure data governance standards are met.

Performance Monitoring and Troubleshooting:

  • Monitor data pipeline performance and troubleshoot issues in real-time.
  • Analyze data pipeline failures and implement fixes to prevent recurrence.
  • Set up logging and monitoring using Stackdriver and Cloud Monitoring.


Qualifications:

  • Bachelor’s degree in Computer Science, Data Engineering, or a related field; Master’s degree is a plus.
  • 3+ years of experience in data engineering, with at least 2+ years working with Google Cloud Platform.
  • Google Professional Data Engineer certification is required.
  • Strong proficiency with GCP services such as BigQuery, Cloud Dataflow, Cloud Composer, Cloud Pub/Sub, Firestore, and Cloud Functions.
  • Hands-on experience with big data tools and frameworks such as Apache Beam, Hadoop, Spark, or Flink.
  • Hands-on experience with dbt.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Strong knowledge of SQL, data modeling, and query optimization.
  • Experience with CI/CD tools and version control (e.g., Git, Cloud Build).
  • Strong understanding of data governance, security, and compliance requirements.
  • Ability to manage large-scale data processing and real-time data pipelines.
  • Excellent problem-solving, analytical, and communication skills.
  • Must be a U.S. Citizen or Green Card holder.


Preferred Skills:

  • Experience with machine learning pipelines and AI/ML model deployment.
  • Familiarity with Terraform and Infrastructure as Code (IaC) principles.
  • Experience with NoSQL databases and key-value stores on GCP.
  • Knowledge of containerization and orchestration using Google Kubernetes Engine (GKE).


What We Offer:

  • Competitive salary and performance-based incentives.
  • Comprehensive health, dental, and vision coverage.
  • Professional development and training opportunities (including GCP certification).
  • Flexible work environment and remote work options.


Join us and be part of a team building innovative and scalable data solutions on Google Cloud Platform!


This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or Corp-to-Corp (C2C) arrangements. We are looking for the best talent and are flexible on the employment structure for the right candidate.


This position is open to direct candidates only. We are not working with third-party agencies.


Candidates must be U.S. Citizens or Green Card holders.