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Data Engineer Airflow Jobs in Decatur, GA (NOW HIRING)

QGenda

Senior Data Engineer

Atlanta, GA · Hybrid

$101K - $138K/yr

Airflow, MWAA, Composer, etc. * Transformation: dbt, etc. * Observability: data lineage/monitoring tools * BI: Looker, Tableau, Power BI, etc. * DevOps: Git, CI/CD, Terraform/CloudFormation Not ...

AgileEngine

Senior Data Engineer ID75059

Atlanta, GA · On-site

$104K - $141K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to design and build scalable data lakes ... You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ...

DPR Construction

PCA Data Engineer

Atlanta, GA

$110K - $132K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust ... Knowledge of Airflow or other orchestration tools. * Experience working with Git-based workflows ...

Pwc

Data Engineer - Senior Associate

Atlanta, GA

$77K - $202K/yr

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Airflow and Apache Hadoop for scalable data processing and workflow management - Building and ...

Incident IQ

Senior Data Engineer

Alpharetta, GA · On-site

$103K - $140K/yr

Proven experience building complex ETL/ELT pipelines using tools like dbt, Apache Airflow, Azure ... Senior Data Engineer Personality & Soft Skills: * Strategic Builder: You don't just write scripts ...

Incident IQ

Senior Data Engineer

Atlanta, GA

$101K - $138K/yr

Proven experience building complex ETL/ELT pipelines using tools like dbt, Apache Airflow, Azure ... Senior Data Engineer Personality & Soft Skills: * Strategic Builder: You don't just write scripts ...

QGenda

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

Airflow, MWAA, Composer, etc. * Transformation: dbt, etc. * Observability: data lineage/monitoring tools * BI: Looker, Tableau, Power BI, etc. * DevOps: Git, CI/CD, Terraform/CloudFormation Not ...

SyrenCloud LLC

Sr. Data Engineer (SSIS Must)

Atlanta, GA · On-site

$110K - $132K/yr

Senior Data Engineer + SSISRole overview The Senior Data Engineer designs, builds, and delivers ... Familiarity with Apache Airflow or equivalent workflow orchestration * Experience in retail, supply ...

Gordon Food Service

Senior Data Engineer

Atlanta, GA · Hybrid

$101K - $138K/yr

The Senior Data Engineer guides the development of GFS' Data Platform consisting of the data lake ... Preferred tool experience include but not limited to Apache Airflow, Kafka, Qlik Replicate ...

Scientific Games

Senior Data Engineer

Alpharetta, GA · On-site

$103K - $140K/yr

Position Summary Scientific Games is hiring a Senior Data Engineer to help build and modernize the ... Databricks, Snowflake, Python, Redshift, Glue, Spark, Airflow, dbt, Kafka, or similar data platform ...

Scientific Games

Senior Data Engineer

Alpharetta, GA · On-site

$103K - $140K/yr

Position Summary Scientific Games is hiring a Senior Data Engineer to help build and modernize the ... Databricks, Snowflake, Python, Redshift, Glue, Spark, Airflow, dbt, Kafka, or similar data platform ...

Deloitte

Senior Data Engineer

Atlanta, GA · Hybrid

$101K - $138K/yr

Apache Airflow * Git / Azure DevOps * Deep Spark internals (DAG optimization, spill analysis, skew ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

Stable Kernel

Principal Data Engineer

Atlanta, GA · On-site

Stable Kernel is a technology services firm and custom software developer building scalable ... Workflow orchestration tools like Airflow, Dagster, or Databricks Workflows. * Implementing data ...

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All JobsData Engineer Airflow JobsData Engineer Airflow Jobs in Decatur, GA

Data Engineer Airflow information

See Decatur, GA salary details

$43.4K

$126.6K

$173.3K

How much do data engineer airflow jobs pay per year?

As of Jul 11, 2026, the average yearly pay for data engineer airflow in Decatur, GA is $126,646.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $134,200.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer Airflow vs Data Engineer?

AspectData Engineer AirflowData Engineer
Primary FocusWorkflow orchestration and pipeline automation using AirflowData collection, storage, transformation, and pipeline development
Required SkillsPython, Airflow, ETL processes, cloud platformsSQL, Python, ETL, data modeling, cloud services
Work EnvironmentData teams, cloud environments, automation pipelinesData warehouses, big data platforms, cloud infrastructure
CertificationsAirflow certifications, Python, cloud certificationsSQL, cloud certifications, data engineering certifications

While both roles involve data pipeline work, Data Engineer Airflow specializes in designing and managing workflows with Airflow, focusing on automation and orchestration. In contrast, Data Engineer has a broader scope, including data storage, transformation, and pipeline development across various tools and platforms.

What does a Data Engineer specializing in Airflow do?

A Data Engineer specializing in Airflow is responsible for designing, building, and maintaining data pipelines using Apache Airflow, an open-source workflow orchestration tool. Their main job is to automate, schedule, and monitor complex data workflows, ensuring data moves reliably between systems and is processed efficiently. They often collaborate with data scientists, analysts, and other engineers to make sure that data is accessible, accurate, and up to date for business needs. Expertise in Airflow helps streamline data operations, optimize performance, and improve data pipeline reliability.

What are the key skills and qualifications needed to thrive as a Data Engineer specializing in Airflow, and why are they important?

To thrive as a Data Engineer with an Airflow focus, you need strong programming skills in Python, expertise in data pipeline design, and experience with distributed systems, often supported by a degree in computer science or a related field. Familiarity with Apache Airflow, cloud platforms (like AWS or GCP), and database technologies, as well as certifications in cloud data engineering, are typically required. Outstanding problem-solving, attention to detail, and effective communication help you collaborate on complex data workflows and troubleshoot issues efficiently. These skills ensure robust, scalable, and reliable data infrastructure, enabling organizations to make data-driven decisions with confidence.

How does a Data Engineer specializing in Airflow typically collaborate with data scientists and analysts?

Data Engineers working with Airflow play a crucial role in enabling data scientists and analysts to access reliable, up-to-date data. They design and maintain ETL pipelines that automate data movement and transformation, ensuring data is clean and available for analysis. Collaboration often involves gathering requirements, troubleshooting pipeline issues, and optimizing data workflows to meet the needs of downstream users. Effective communication and documentation are essential, as data engineers must align technical solutions with the analytical goals of the broader team.
What are popular job titles related to Data Engineer Airflow jobs in Decatur, GA? For Data Engineer Airflow jobs in Decatur, GA, the most frequently searched job titles are:
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Data Engineer Airflow jobs near you
Data Engineer (AI & Data Platforms) - Q126

Data Engineer (AI & Data Platforms) - Q126

R2 Technologies Corporation

Alpharetta, GA • On-site

$111K - $134K/yr

Full-time

Posted 4 days ago

Job description

Overview:
Job Title: Data Engineer (AI & Data Platforms)
Company: R2 Technologies
Location: Alpharetta, GA (Hybrid / Remote Options Available)
Employment Type: Full-Time / Contractual
About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we have built a reputation as a trusted partner for IT staffing excellence and cutting-edge digital product innovation. We are driven by innovation and operate on a simple philosophy: "We deliver what we promise, and we promise only what we can deliver." Beyond providing top-tier IT talent, R2 builds cutting-edge proprietary solutions like SmartEnt-an Enterprise AI & IoT Intelligence Platform utilizing advanced NLP and AI technologies. By partnering closely with our clients, we deliver technology-driven outcomes that are realistic, measurable, and impactful.
Job Summary: The role of the Data Engineer has fundamentally shifted in 2026. R2 Technologies is seeking an innovative Data Engineer who goes beyond traditional ETL to become a builder of "AI-ready" data foundations. You will be crucial in powering our SmartEnt platform and client AI initiatives by engineering context-rich data pipelines. Utilizing AI coding assistants (GitHub Copilot, Cursor) to automate boilerplate transformations, you will design systems that feed directly into Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architectures.
Key Responsibilities: * Build and maintain scalable, low-latency data pipelines utilizing modern data stack tools (e.g., dbt, Snowflake, Databricks, Apache Iceberg) to process both structured and unstructured data.
  • Integrate and manage Vector Databases (such as Pinecone, Milvus, or Qdrant) to support enterprise semantic search and RAG workflows.
  • Leverage AI-assisted coding tools to rapidly generate, test, and optimize SQL/Python data transformation code, freeing up time for complex architectural decisions.
  • Orchestrate data workflows using Apache Airflow, Dagster, or n8n to ensure seamless, event-driven data delivery to AI agents and downstream analytics.
  • Implement data reliability engineering practices (data contracts, observability, lineage) to ensure LLMs are grounded in highly accurate, governed data.
  • Collaborate closely with Full Stack and AI/ML engineers to support multi-modal data ingestion from IoT devices, APIs, and enterprise systems.

Qualifications: 3 years of hands-on experience in Data Engineering, Data Analytics, or ML Engineering.
  • Bachelor degree in computer science or related field.
  • Strong proficiency in Python and advanced SQL.
  • Hands-on experience with cloud data platforms (Snowflake, Databricks, BigQuery) and orchestration tools.
  • Familiarity with creating embedding pipelines and working with Vector Databases.
  • Proven experience or strong familiarity working alongside AI coding assistants to enhance productivity.
  • Understanding of modern lakehouse architectures and open table formats (Apache Iceberg, Delta Lake).
  • Excellent communication skills and the ability to adapt to the fast-paced convergence of data and AI.

Skills:
Snowflake,Apache

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