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Data Engineer Airflow Jobs in Ohio (NOW HIRING)

Data Solutions Engineer

Columbus, OH

$110K - $132K/yr

... Airflow • Azure Logic Apps, Azure DevOps, Power Automate, REST API • Familiarity with Azure OpenAI and Document Intelligence for turning unstructured content into usable data. • Data analysis ...

Data Solutions Engineer

Cleveland, OH

$110K - $133K/yr

... Airflow • Azure Logic Apps, Azure DevOps, Power Automate, REST API • Familiarity with Azure OpenAI and Document Intelligence for turning unstructured content into usable data. • Data analysis ...

Data Solutions Engineer

Cincinnati, OH

$111K - $134K/yr

... Airflow • Azure Logic Apps, Azure DevOps, Power Automate, REST API • Familiarity with Azure OpenAI and Document Intelligence for turning unstructured content into usable data. • Data analysis ...

Data Solutions Engineer

Cleveland, OH · On-site

$110K - $133K/yr

... Airflow • Azure Logic Apps, Azure DevOps, Power Automate, REST API • Familiarity with Azure OpenAI and Document Intelligence for turning unstructured content into usable data. • Data analysis ...

Data Platform Engineer

Cleveland, OH · On-site

$111K - $133K/yr

You will have the opportunity to work across several areas of data engineering rather than being ... Transformation or orchestration tools such as dbt, Airflow, Dagster, Prefect, or Azure Data Factory.

Data Platform Engineer

Cleveland, OH · On-site

$23.61 - $70.82/hr

You will have the opportunity to work across several areas of data engineering rather than being ... Transformation or orchestration tools such as dbt, Airflow, Dagster, Prefect, or Azure Data Factory.

... engineering practices • Cloud data architecture across Azure, AWS, and/or GCP • Modern ETL/ELT and orchestration technologies such as Azure Data Factory, Airflow, Databricks Workflows, or ...

Essential Duties BI ETL Data Developer II * Develop, maintain, and enhance data pipelines using modern ELT tools (e.g., dbt, Fivetran, Airflow, or similar) in a cloud-based environment. * Write ...

Showing results 41-60

Data Engineer Airflow information

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.

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 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.

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 cities in Ohio are hiring for Data Engineer Airflow jobs?

Cities in Ohio with the most Data Engineer Airflow job openings:

Senior Data Engineer - Analytics

RXinsider LTD.

Columbus, OH • On-site

$120 - $160/hr

Other

Posted 5 days ago


Job description

Job Title: Senior Data Engineer - Analytics Essential Functions
  • Collaborate with other internal teams to design data pipelines to ingest information from various systems to our BigQuery or Redshift data warehouse
  • Take ownership of the codebase, identifying gaps, areas for improvement, refactoring where needed, and keeping the design fresh and modern
  • Actively code to unblock technical and communication challenges as necessary to ensure teams meet product roadmaps and close those gaps.
  • Participate in architecture review decisions, designs, and documentation that will govern the direction of the team, the codebase, and multiple products over a several month timeframe
  • Communicate effectively with stakeholders (upper management, engineering manager, product manager, and peers) regarding the product you are responsible for
  • Provide feedback and participate in pair programming exercises.
Success In This Role
  • Team delivers reliable, scalable, high performing customer facing analytic services within analytic SLAs
  • Team consistently delivers committed business initiatives and coordinates with other stakeholders to roll out products with analytic insights.
  • Business teams and Customers are empowered with AI assisted insights without dependency on engineering
  • Consistently deliver high quality code that is easily maintained and scaled. Your work is reliable and your team members and stakeholders fully trust you to execute your responsibilities with minimal oversight
  • Contribute to the team culture where innovation, autonomy, and accountability thrive
Minimum Requirements Specific Job Skills
  • Ability to approach complex, ambiguous data challenges systematically. You can diagnose the problem, come up with a plan to address it, and see that plan through.
  • Experience owning data integrity, ensuring that data is reliable, timely, and traceable from source to consumption
  • Experience creating and maintaining Extract, Transform, and Load (ETL) Pipelines and using modern ETL tools such as Python, SQL, Airflow, DBT, S3, Airbyte, Confluent.
  • Experience creating and maintaining analytic semantic layers and business intelligence dashboard such as Looker, PowerBI, Tableau, etc.
  • Experience owning data integrity, ensuring that data is reliable, timely, and traceable from source to consumption
  • Proficiency in leveraging AI agents and other AI tools to significantly enhance developer productivity.
  • Experience working with database and data warehouse technologies such as Postgres, Bigquery, and Redshift.
  • Experience with cloud services such as AWS, Azure, GCP.
  • Experience in developing large scale data models and complex data pipelines.
Preferred Skills
  • Preferred: Experience in working with large slow changing dimension data models
  • Preferred: Experience in the US healthcare system, in particular with data systems and EHRs such as Epic, Cerner or Athenahealth.

Education: BS Degree or equilivent work experience

Experience: Five years experience developing data platforms using Python, SQL

Supervision: N/A

Certifications: N/A

Language Skills

Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from a variety of both internal and external sources.

Physical Capabilities: Standard categories

The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.

RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Note

This Job Description may not describe all of the job responsibilities and standards assigned to this position. The duties may change from time to time. RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment.

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