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Data Pipeline Jobs in Georgia (NOW HIRING)

Develop and maintain dbt models and pipeline orchestration to ensure timely, faultโ€‘tolerant data migrations across hundreds of customer destinations. * Define evaluation frameworks for LLM outputs ...

Data Engineer - GCP

Atlanta, GA ยท On-site +1

$110K - $132K/yr

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 ...

Data Engineer - GCP

Atlanta, GA ยท On-site

$110K - $132K/yr

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 ...

Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

In addition, he/she will also assist in developing the data pipeline to ensure ongoing data collection, consolidation, and management โ€ข Create data ingestion pipeline and processes based on jointly ...

Data Engineer

Atlanta, GA

$110K - $132K/yr

The role focuses on operationalizing pipelines with governance and service expectations (SLAs), improving data quality and reusability, and enabling secure access to integrated data in support of ...

Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

The candidate will be responsible for building out a new data pipeline to consume data from multiple sources (MSSQL, Oracle, files, APIs, etc) into cloud storage and/or Snowflake databases. They will ...

data science engineer

Alpharetta, GA ยท On-site

$108K - $130K/yr

Work is seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will collaborate with data analysts, data scientists, and ...

Data Engineer

Alpharetta, GA ยท On-site

$129K/yr

This role develops and optimizes data pipelines and workflows, ensures data is reliable and accessible, and partners with cross-functional stakeholders to deliver practical, data-driven solutions.

Associate, Data Engineer

Atlanta, GA ยท On-site

$130K - $148K/yr

Design, code, test, and support reliable, robust product data pipeline software with high-quality standards through the whole Software Development Lifecycle. Identify, investigate, and resolve data ...

Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI ...

Data Engineer

Atlanta, GA

$108K - $130K/yr

This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI ...

Sr. Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

The positions also contribute to building and optimizing internal data pipelines to advance the organization's digital data strategy. Role & Responsibilities : * Analyze brand and enterprise data ...

Design, code, test, and support reliable, robust product data pipeline software with high-quality standards through the whole Software Development Lifecycle. Identify, investigate, and resolve data ...

Sr. Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

This role focuses on assisting with data pipeline development, migration of legacy systems, and maintaining scalable, secure, and efficient data solutions using modern technologies, particularly ...

Data Engineer

Atlanta, GA ยท Remote

$110K - $132K/yr

Support data engineering execution across complex application development initiatives, ensuring data models, integrations, and pipelines align with established architectural standards. * Collaborate ...

New

Data Pipeline Development: Build scalable batch and real-time pipelines using Dataflow , Pub/Sub , Cloud Composer , and Dataproc . * Data Warehousing: Design and optimize analytical models in ...

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Showing results 1-20

Data Pipeline information

See Georgia salary details

$18.7K

$95.8K

$155.6K

How much do data pipeline jobs pay per year?

As of Aug 30, 2026, the average yearly pay for data pipeline in Georgia is $95,803.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,135.00 and $120,988.00 per year, depending on experience, location, and employer.

What does a data pipeline do?

A Data Pipeline job involves designing, building, and maintaining systems that automate the flow of data from various sources to storage and processing destinations. It includes extracting data from databases, APIs, or streaming sources, transforming it into the desired format, and loading it into data warehouses, lakes, or analytics platforms. The role requires expertise in data engineering, ETL (Extract, Transform, Load) processes, cloud computing, and workflow orchestration tools. Strong knowledge of programming languages like Python or SQL and experience with frameworks like Apache Airflow or Spark is often essential. The goal is to ensure data is efficiently collected, processed, and made available for analysis and decision-making.

What skills and qualifications are needed for a data pipeline?

To excel in a Data Pipeline role, you need strong skills in data engineering, programming (often Python, Java, or Scala), and experience with ETL (Extract, Transform, Load) processes, usually supported by a degree in computer science or a related field. Familiarity with technologies such as Apache Spark, Hadoop, Airflow, Kafka, and cloud platforms like AWS or GCP, along with relevant data engineering certifications, is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills are critical for success in this position. These technical and interpersonal skills are essential for building, maintaining, and optimizing reliable data workflows that support business decision-making.

What are common challenges faced in data pipeline roles, and how are they addressed?

Professionals in Data Pipeline roles often encounter challenges such as handling large volumes of rapidly changing data, ensuring data quality, and minimizing downtime during data transfers. Addressing these issues typically involves implementing robust error-handling processes, automating data validation steps, and using scalable, resilient technologies. Collaboration with data analysts, software engineers, and business stakeholders is key to ensuring that pipelines meet organizational needs and remain flexible with evolving requirements. Continuous learning and adapting to new tools or frameworks also help Data Pipeline engineers stay ahead in this dynamic field.

Are data pipeline jobs in demand?

Data pipeline jobs are in high demand due to the increasing need for data integration, processing, and management across industries. Professionals with skills in tools like Apache Airflow, Spark, and cloud platforms are particularly sought after, and the role often requires knowledge of data engineering and scripting. The demand is expected to grow as organizations continue to rely on data-driven decision making.

What are popular job titles related to Data Pipeline jobs in Georgia?

For Data Pipeline jobs in Georgia, the most frequently searched job titles are:

What cities in Georgia are hiring for Data Pipeline jobs?

Cities in Georgia with the most Data Pipeline job openings:

Infographic showing various Data Pipeline job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $95,803 per year, or $46.1 per hour.

MLOps Data Pipeline Engineer (Airflow & MLflow) - Q125

Alpharetta, GA โ€ข On-site

$111K - $134K/yr

Full-time

Medical, Retirement, PTO

Re-posted 27 days ago


Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
MLOps Data Pipeline Engineer (Airflow & MLflow)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a skilled MLOps Data Pipeline Engineer to build and manage machine learning pipelines using Airflow and MLflow. This role focuses on integrating Spark or Python-based data workflows for efficient model training and deployment.
Key Responsibilities
  • Design and implement machine learning pipelines using Airflow for orchestration and MLflow for model management.
  • Develop data workflows with Spark or Python to preprocess and feed data into ML models.
  • Automate MLOps processes for model training, validation, and deployment using Kubeflow or similar tools.
  • Collaborate with data scientists to monitor and optimize ML pipeline performance and accuracy.
  • Ensure data pipeline scalability, reliability, and governance in production environments.
  • Troubleshoot and resolve issues in data workflows to maintain seamless ML operations.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience as a Data Engineer with a focus on MLOps and machine learning pipelines.
  • Proficiency in using Airflow for pipeline orchestration and MLflow for model lifecycle management.
  • Experience with Spark or Python for building scalable data workflows in ML environments.
  • Strong understanding of MLOps practices and their integration into data engineering pipelines.

Preferred Qualifications
  • Familiarity with Kubeflow for advanced MLOps workflows and Kubernetes-based deployments.
  • Exposure to cloud platforms like AWS or GCP for hosting MLOps pipelines.
  • Knowledge of data versioning tools like DVC for managing ML datasets and models.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Data Engineer, MLOps, Airflow, MLflow, Kubeflow, Spark, Python, Machine Learning Pipelines