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Airflow Developer Jobs in Ohio (NOW HIRING)

$100 - $125/hr

This role offers the opportunity to work with a modern cloud data stack including Snowflake, dbt, Airflow, AWS, and AI‑powered engineering tools. Your impact * Build and maintain scalable data ...

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

... Airflow, Prefect) Knowledge of MLOps practices and tools Experience working with unstructured data (text, images, etc.) Understanding of data governance and privacy standards Strong analytical and ...

Engineer

Cleveland, OH · On-site

$100K - $120K/yr

Skill: Sr Data Engineering Architect Fraud Domain Must Have Technical/Functional Skills: * Define ... Hands-on experience with SQL, Python, Spark/PySpark, Databricks, Kafka, Airflow, Snowflake, and ...

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

... Airflow, Prefect) Knowledge of MLOps practices and tools Experience working with unstructured data (text, images, etc.) Understanding of data governance and privacy standards Strong analytical and ...

Senior Data Engineer

Cleveland, OH · On-site

$102K - $139K/yr

SENIOR DATA ENGINEER We are looking for a highly skilled and strategic Senior Data Engineer to lead ... Deep production experience with dbt for data modeling and Airflow for orchestration. * Advanced ...

AI Data Engineer

Cleveland, OH · On-site

$100 - $125/hr

Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure ... Experience with data pipeline orchestration tools (e.g., Airflow, Prefect) * Knowledge of MLOps ...

Senior Data Engineer

Cleveland, OH · Hybrid

$102K - $139K/yr

SENIOR DATA ENGINEER We are looking for a highly skilled and strategic Senior Data Engineer to lead ... Deep production experience with dbt for data modeling and Airflow for orchestration. * Advanced ...

Showing results 41-60

Airflow Developer information

What is an Airflow developer?

Airflow Developers are professionals who design, build, and maintain data workflows using Apache Airflow, an open-source platform for orchestrating complex computational workflows and data processing pipelines. They are responsible for writing, scheduling, and monitoring tasks (DAGs) that automate data movement and transformation across systems. Airflow Developers work closely with data engineers, analysts, and other stakeholders to ensure reliable and efficient data pipeline automation. Their expertise includes Python programming, Airflow configuration, troubleshooting, and best practices for scalable workflow management.

What are the key skills and qualifications needed to thrive as an Airflow developer, and why are they important?

To thrive as an Airflow Developer, you need strong programming skills in Python, experience with data pipelines, and a solid understanding of workflow orchestration concepts. Familiarity with Apache Airflow, cloud platforms (like AWS or GCP), and version control systems such as Git are typically required, along with knowledge of containerization tools like Docker. Analytical thinking, attention to detail, and effective communication are key soft skills for collaborating with data teams and troubleshooting complex workflows. These competencies ensure reliable, scalable, and maintainable data pipeline solutions that support organizational data needs.

What are some common challenges Airflow developers face when managing complex data pipelines, and how can these be addressed?

Airflow Developers often encounter challenges such as managing dependencies between tasks, handling large-scale workflows, and ensuring reliable pipeline execution. To address these, it's essential to design modular DAGs (Directed Acyclic Graphs), implement robust error handling, and use features like sensors and retries strategically. Collaboration with data engineers and stakeholders is also key for troubleshooting and optimizing workflows. Effective monitoring and logging practices further help in quickly identifying and resolving issues.

What is the difference between Airflow Developer vs Data Engineer?

AspectAirflow DeveloperData Engineer
Required CredentialsKnowledge of Apache Airflow, Python, SQLData modeling, SQL, Python, cloud platforms
Work EnvironmentFocus on workflow orchestration, automationData pipeline development, storage, processing
Industry UsageTech, finance, healthcare for workflow automationBroad industries for data infrastructure

While both roles involve working with data and Python, an Airflow Developer specializes in designing and maintaining workflow automation using Apache Airflow. In contrast, a Data Engineer builds and manages data pipelines and infrastructure across various tools and platforms. The roles often overlap but differ mainly in scope and focus.

Does Airflow require coding?

Airflow developers typically need to have programming skills in Python, as workflows are defined using code. Coding knowledge is essential for creating, maintaining, and troubleshooting data pipelines in Airflow.

Is Airflow part of DevOps?

An Airflow Developer works with Apache Airflow, a platform used to programmatically author, schedule, and monitor workflows. While Airflow is often employed within DevOps environments to automate data pipelines and deployment processes, it is not inherently part of DevOps but complements DevOps practices by enabling automation and orchestration. Knowledge of CI/CD tools and infrastructure management is beneficial for such roles.

What cities in Ohio are hiring for Airflow Developer jobs?

Cities in Ohio with the most Airflow Developer job openings:

Infographic showing various Airflow Developer job openings in Ohio as of August 2026, with employment types broken down into 85% Full Time, 2% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

$100 - $125/hr

Other

Posted 7 days ago


Key responsibilities

  • Build and maintain scalable data pipelines, transformations, and reporting models using dbt, SQL, Python, and Snowflake.

  • Develop and optimize data ingestion workflows, API integrations, and CDC pipelines following engineering best practices.

  • Implement data quality checks, testing, monitoring, and observability mechanisms to ensure reliable data products.


Job description

Role Overview

As a Data Engineer, you'll be a hands‑on contributor within our Data Platform team, building and maintaining the pipelines, models, and integrations that drive data‑informed decision‑making across Jimdo. Reporting to the Data Platform Manager, you'll own well‑defined projects end‑to‑end—from implementation and testing through monitoring and optimization—while collaborating closely with senior engineers, analysts, and stakeholders.

This role offers the opportunity to work with a modern cloud data stack including Snowflake, dbt, Airflow, AWS, and AI‑powered engineering tools.

Your impact
  • Build and maintain scalable data pipelines, transformations, and reporting models using dbt, SQL, Python, and Snowflake.
  • Develop and optimize data ingestion workflows, API integrations, and CDC pipelines using established engineering frameworks and best practices.
  • Implement data quality checks, testing, monitoring, and observability mechanisms to ensure reliable and trustworthy data products.
  • Design and maintain analytics‑ready data models, including reporting marts and dimensional models that support business insights.
  • Leverage AI‑powered development tools such as GitHub Copilot and Claude to improve productivity, code quality, and documentation.
  • Collaborate with analysts, BI teams, and stakeholders to define metrics, clarify business logic, and deliver impactful data solutions.
  • Contribute to data governance, compliance, and platform reliability by following data contracts, security standards, and engineering best practices.
What you bring
  • 4+ years of experience in Data Engineering, Analytics Engineering, or a related field.
  • Strong SQL skills, including complex joins, aggregations, CTEs, and window functions.
  • Hands‑on experience with dbt for data transformation, testing, and documentation.
  • Practical experience with cloud data warehouses, preferably Snowflake.
  • Experience building data workflows and automation using Python.
  • Familiarity with orchestration tools such as Airflow and Git‑based development workflows.
  • Strong problem‑solving skills, attention to detail, and a collaborative mindset.
  • Experience with AWS services.
  • Exposure to data governance, data contracts, and compliance frameworks.
  • Experience using AI coding assistants and integrating AI into engineering workflows.
  • Familiarity with modern observability and monitoring practices for data platforms.
What we offer
  • Inspiring Mission: At our core, we are driven by a meaningful mission— to empower solopreneurs and small businesses to succeed and to contribute to the sustainability and vibrancy of the communities they serve.
  • Flexibility and Trust: Our work environment thrives on flexibility and trust. We offer fully remote work set‑up with opportunities for in‑person collaboration. You can manage your working hours flexibly because we prioritize the results you deliver over the number of hours you put in.
  • An International Diverse Team: Our team is a mosaic of over 220+ individuals hailing from 50+ different countries and working across 15+ diverse locations. We take pride in our openness and inclusivity, with an Employee‑led DEI Council and active ERGs that ensure everyone's voices are heard.
  • Continuous Growth and Career Development: We invest in your growth with company‑wide access to LinkedIn Learning and Hack Weeks, Deep Work Thursdays, conferences and access to technical eLearning platforms. From day one, you have the chance to contribute your ideas and create a meaningful impact. Our flat hierarchies and swift decision‑making processes provide an open platform for your career progression.
  • Competitive Benefits Package:
    • Annual compensation reviews to ensure you're rewarded fairly.
    • A remote office set‑up bonus to enhance your workspace.
    • An employee assistance program, offering resources and counseling.
    • Up to three free Jimdo websites for your personal or professional projects that you get to keep forever.

Jimdo is proud to be an equal opportunity employer. This means that we don’t discriminate based on race or ethnic origin, color, the language(s) you speak, where you (or your parents) are from, or whether or not you consider yourself to have a disability. Neither will your age, gender, gender identity, sexual orientation, religion, beliefs, or political opinions play a part in your application with us. Our diverse team values and celebrates the uniqueness of each individual. We embrace differences and believe that they enrich our organization, making us stronger and more innovative. Join us, and let's continue to create a workplace where everyone can thrive, regardless of background or identity.

By sending your application, you declare that you read and understand the Jimdo Applicant Privacy Policy.

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