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

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

Data Engineering Lead- Finance

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 ...

Data Engineer II - OIT

Atlanta, GA

$111K - $133K/yr

Description The Data Engineer II is a key contributor to the development and evolution of the ... Familiarity with data pipeline orchestration and monitoring tools Like Airflow , Azure Data Factory ...

Data Engineer II - OIT

Atlanta, GA · On-site

$111K - $133K/yr

Description The Data Engineer II is a key contributor to the development and evolution of the ... Familiarity with data pipeline orchestration and monitoring tools Like Airflow , Azure Data Factory ...

Java Developer

Atlanta, GA · On-site

$49 - $63.50/hr

... Data Engineer - Onsite (Spring Boot / Java / Google Cloud Platform / Airflow / SQL / Python) Location: Atlanta (Onsite) Experience: 8-10 years Employment Type: Full Time About the Project This role ...

Sr. Data Engineer - Ag & Trading

Atlanta, GA · On-site

$105K - $142K/yr

... Airflow). Deep experience with modeling concepts like SCD and schema evolution. * DATA ... Advanced programming skills in Python, Java, Scala, or similar languages. Expert-level proficiency ...

Sr. Data Engineer - Ag & Trading

Atlanta, GA · On-site

$105K - $142K/yr

... Airflow). Deep experience with modeling concepts like SCD and schema evolution. * DATA ... Advanced programming skills in Python, Java, Scala, or similar languages. Expert-level proficiency ...

Senior Data Engineer - Atlanta, GA

Atlanta, GA · On-site

$105K - $142K/yr

... Airflow). Deep experience with modeling concepts like SCD and schema evolution. * DATA ... Advanced programming skills in Python, Java, Scala, or similar languages. Expert-level proficiency ...

Senior Data Engineer - Atlanta, GA

Atlanta, GA · On-site

$105K - $142K/yr

... Airflow). Deep experience with modeling concepts like SCD and schema evolution. * DATA ... Advanced programming skills in Python, Java, Scala, or similar languages. Expert-level proficiency ...

Sr. Data Engineer - Ag & Trading

Atlanta, GA

$101K - $138K/yr

... Airflow). Deep experience with modeling concepts like SCD and schema evolution. * DATA ... Advanced programming skills in Python, Java, Scala, or similar languages. Expert-levelproficiencyin ...

Cloud Data Engineer (50576)

Atlanta, GA · On-site

$112K - $134K/yr

Working with a multi-disciplinary team of scientists, data engineers, developers, and data ... Familiarity with Apache Airflow or similar workflow orchestration tools * Experience with Azure ...

The Data Engineer II is a key contributor to the development and evolution of the Unified Data ... Familiarity with data pipeline orchestration and monitoring tools Like Airflow , Azure Data Factory ...

Proficiency in data pipeline orchestration (Airflow, DBT, Azure Data Factory, etc.) * Proficiency ... Working knowledge of code quality, CI/CD, and DevOps practices in data engineering * Working ...

Proficiency in data pipeline orchestration (Airflow, DBT, Azure Data Factory, etc.) * Proficiency ... Working knowledge of code quality, CI/CD, and DevOps practices in data engineering * Working ...

Proficiency in data pipeline orchestration (Airflow, DBT, Azure Data Factory, etc.) * Proficiency ... Working knowledge of code quality, CI/CD, and DevOps practices in data engineering * Working ...

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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:
What job categories do people searching Data Engineer Airflow jobs in Decatur, GA look for? The top searched job categories for Data Engineer Airflow jobs in Decatur, GA are:
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Principal Data Engineer

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

About the Company:

Stable Kernel is a technology services firm and custom software developer building scalable software solutions for cutting-edge, innovative enterprises to move their business forward. We are headquartered in Atlanta, GA.

We're a privately held, Great Place to Work Certified Company with a multi-award-winning culture and an impressive 10-plus-year trajectory of sustainable growth. At Stable Kernel, we support our employees in ways that help them do some of the best work of their lives.

 About the Role:

As a Stable Kernel Principal Data Engineer, you play an essential role in setting our portfolio of world-class clients up for success through the development and delivery of their most innovative, transformational initiatives. You will collaborate daily with other engineers and product team members, make decisions that influence the path of a product roadmap, leverage software development best practices, and become a more well-rounded engineer as you learn new technologies. Your knowledgeable practice, reliability, and consultative nature make you an engineer that stakeholders and teammates trust.

Principal Data Engineers may be classified as individual contributors or people managers with individual contributor responsibilities.

Core Responsibilities Include:
  • Technical Impact: 
    • Designing and implementing exemplary solutions regarding scalability and cost-effectiveness by making trade-offs between opportunity and complexity.
    • Setting standards for codebase health and promoting best practices throughout the organization. 
  • Business Alignment: 
    • Clarifying strategic outcomes and influencing roadmaps and projects.
    • Identifying, suggesting, and driving improvements in your customers' end-to-end experience.
    • Aiding in estimating work for new business with more unknowns and coaching others in estimation best practices. 
  • Interacting with Others: 
    • Coordinating across the entire company.
    • Influencing the entire organization to make changes to support your work.
    • Advising teams across the company.
  • Autonomy & Ambiguity: 
    • Designing a long-term roadmap with no direction. 
    • Translating customer and business needs and strategic direction into projects and consistently simplifying high-complexity situations.
    • Coaching and mentoring others in tackling ambiguity.
  • Problem-Solving:
    • Decomposing strategic direction into projects:
      •  Planning, communicating, and executing to solve our most challenging problems.
      • Ensuring alignment with long-term objectives, fostering a culture of informed decision-making and innovation.
    • Anticipating most risks and driving simplification to mitigate risks ahead of time. 
    • Escalating issues while solving them in parallel ensuring others are informed.
  • Leadership:
    • Proposing new organization-level processes to improve key areas such as team throughput, employee happiness, or product engagement.
    • Driving best practices across the organization.
    • Exhibiting exceptional mentoring abilities and fostering a culture of continuous learning and improvement by
      • identifying and nurturing potential in others 
      • providing strategic guidance
      • helping develop career paths for team members 
    • Leading projects.
      • Setting the strategic direction for projects or areas of technology, leading multiple project teams, and influencing decision-making at higher organizational levels. 
      • Exhibiting strong capabilities in stakeholder management, negotiating, and problem-solving in complex scenarios. 
      • Mentoring and developing other leaders within the team, fostering a culture of innovation, and contributing significantly to organizational goals.
 Intimate, Working Familiarity With:
  • Migrating production systems to ELT platforms like Databricks or Snowflake.
  • One or more programming languages (Mastery of Python and Go strongly preferred).
  • Integrating BI platforms like Tableau or Looker for business insights.
  • Event systems like Kafka.
  • Dimensional modeling and data warehouse design and migrations.
  • Apache Spark for large-scale data processing.
  • Cloud platforms (AWS, Azure, or GCP), including managed data services.
  • Workflow orchestration tools like Airflow, Dagster, or Databricks Workflows.
  • Implementing data quality frameworks and validation testing.
  • Infrastructure as code (Terraform, Pulumi) and CI/CD for data pipelines.
  • Version control practices with Git, including branching strategies for collaborative development.
General Requirements:
  • 7-10 years of development experience.
  • Track record of incrementally migrating legacy systems while maintaining business continuity.
  • Ability to translate business requirements into technical data models.
  • Experience partnering with analysts and business stakeholders to define metrics and reporting needs.
  • Comfortable working in ambiguous environments where requirements evolve.
  • Degree in Computer Science or relevant field or experience. 
Nice to Haves:
  • Experience with data catalog and lineage tools (Unity Catalog, Atlan, etc.).
  • Familiarity with real-time/streaming architectures alongside batch processing.
A Bit More Info:

Minimum Base Compensation: $170,000


This is a full-time position.

Stable Kernel operates a People Before Place Hybrid model, allowing most employees to choose where they can do their best work most days.

Minimal travel is associated with this role.

Our generous total compensation package includes:

  • Company-subsidized health, vision, and dental plan premium options beginning on the first day of employment
  • 401k with above-average company matching 
  • Fully paid Group Life, Short and Long Term Disability, and AD&D insurance
  • Optional Flexible Spending Account and Health Savings Account participation
  • Voluntary Life, Critical Illness, and Accident insurance
  • EAP and Health Advocacy program available at no cost to employees and their dependents
  • $3000+ annual industry educational budget 
  • Paid time off and paid holidays Access to Perks at Work program featuring a variety of discounted products and services

*Note - We are not sponsoring employment visas at this time. If you are currently in possession of an employment visa, it will need to be effective for at least 3 years from the date of your application for your candidacy for employment to be considered.

Stable Kernel's culture is inclusive and expansive. We celebrate diversity in its many glorious forms and do not discriminate based on race, religion, color, national origin, gender role orientation, sexual orientation, age, marital status, veteran status, or disability status.

However, we will discriminate against those unwilling to comply with the practice of our company values:

  • we work with integrity always
  • we respect our work and each other
  • we are dedicated to life-long learning and sharing
  • we stay hungry for new challenges

If you are like-minded in this regard, we hope you will apply. We look forward to meeting you.