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Data Engineer Airflow Jobs in Ohio (NOW HIRING)

Data Solutions Engineer

Cincinnati, OH

$111K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... 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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... 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 ...

A Brief Overview The Manager of Data Engineering at Safelite is responsible for modernizing key ... Ability to orchestrate complex workflows using tools like Apache Airflow or Dagster. (Medium ...

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 ...

Engineer

Cleveland, OH · On-site

$100K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

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Mechanical Engineer or Mechanical Engineer Technician

Cincinnati, OH · On-site

$60K - $90K/yr

  • Medical

  • Dental

  • Life

  • Retirement

Develop and execute test plans for airflow rigs, nozzles, blowers, and sensors. * Analyze test data ... Provide engineering input during manufacturing, assembly, and quality control. * Communicate ...

Airflow * Data Transformation : dbt-core * Programming Languages : Python, SQL, Node * CI/CD Tools : Gitlab Pipelines * Version Control : Git * Infrastructure as Code : Terraform * Monitoring ...

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

Showing results 41-60

Data Engineer Airflow information

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 job categories do people searching Data Engineer Airflow jobs in Ohio look for?

The top searched job categories for Data Engineer Airflow jobs in Ohio are:

What cities in Ohio are hiring for Data Engineer Airflow jobs?

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

Data Solutions Engineer

BakerHostetler

Cincinnati, OH

$111K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 16 days ago


Job description

Join our team as a Data Solutions Engineer, where you will play a key role in designing and developing enterprise data solutions. This role works across the data lifecycle, including data analysis, data modeling, data architecture, data engineering, and data integration.


You will work closely with cross-functional teams to understand data needs and develop practical, scalable data solutions. Your work will support and enhance our enterprise data strategy, including master data management, by centralizing transformations and creating consistent, trusted data across the organization.


RESPONSIBILITIES:
• Develop and implement data processing workflows and pipelines to support solutions development and business intelligence needs.
• Design and develop scalable and effective data solutions to support the flow and integration of data across systems.
• Use big data technologies like Azure Data Lake, Synapse Analytics, and Data Factory to handle and analyze large volumes of data.
• Develop and maintain data storage solutions, including Azure SQL Database, PostgreSQL, Azure Data Lake, and Azure Blob Storage.
• Support the Enterprise Data Model by managing the medallion architecture layers in the data lake.
• Support master data management, data modeling, and architecture by centralizing transformations and business rules to create consistent, trusted enterprise data.
• Implement data validation and cleansing procedures to ensure the highest level of data quality and integrity.
• Use Microsoft Fabric to support data engineering, analytics, and business intelligence solutions.
• Use Microsoft Power Platform and Logic Apps to support data integration, automation, and application development needs.


REQUIRED TECHNICAL SKILLS:
Proficiency in the following tools, technologies, and data concepts:
• Azure Data Factory, Azure SQL Database, PostgreSQL, Azure Blob Storage, Azure Data Lake Storage
• Azure Synapse Analytics, Azure Databricks, Apache Spark, Apache 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 modeling, data architecture, and master data management
• Medallion architecture design patterns using Delta Lake (bronze, silver, gold layers)
• Microsoft Fabric, including Lakehouse, Data Engineering, and Real-Time Analytics
• Microsoft Power Platform (Power Apps, Power Automate, Power BI) for low-code data integration and automation
• Version control and CI/CD practices for data workflows using Azure DevOps and Git

REQUIRED EDUCATION AND EXPERIENCE:
1. Bachelor’s degree in Computer Science, Information Technology, or a related field.
2. 5 years of hands-on experience developing data and software solutions.


REQUIRED INTERPERSONAL AND COMMUNICATION SKILLS:
1. Maintain effective relationships with clients and internal customers (Attorneys, Litigation Support, IP Services, and other support staff).
2. Ability to lead and build consensus among peers and staff.
3. Understanding and ability to follow project management methodologies.
4. Accurately manage and report time worked on projects.
5. Ability to prioritize and manage tasks effectively.
6. Ability to work in a fast-paced, flexible environment.
7. Ability to effectively communicate technical concepts with an audience.
8. Must be able to perform essential duties of the position with time constraints, interruptions, and under stress.


OTHER DESIRED TRAITS:
1. Demonstrates attention to detail with a professional, efficient, and business-like manner. Proactive and showing initiative, flexible, and willing to take on new and challenging tasks.


TRAVEL REQUIREMENT:
Minimal

How to Apply:

Interested individuals should apply directly via our job posting.

About Us:

BakerHostetler is recognized as one of the leading law firms in the country. With more than 1,000 attorneys located in 18 offices from coast to coast, BakerHostetler is a great place to work for those who seek professional and personal growth in a collaborative environment. We deliver the highest quality counsel to our clients, who include many of the nation’s largest and most well-known companies. BakerHostetler’s values have remained unchanged since our founding more than 100 years ago: dedication to the law, commitment to the highest standard of client service, continuous development of our people and active participation in the communities in which we work and live.

BakerHostetler offers a comprehensive and competitive benefit program.  Specific information is provided during the interview process.

  • Competitive Salaries
  • Performance Bonus Program
  • Generous Time Off
  • Generous Retirement Program including 401(k) Plan
  • Group Health, Dental and Vision Insurance
  • BHealthy Wellness Program
  • Life Insurance
  • Voluntary Accident Insurance – Self and Family
  • Short and Long-Term Disability
  • Pre-Tax Benefit Programs

Please visit www.bakerlaw.com for more information about our Firm.

Baker & Hostetler LLP is an Equal Opportunity Employer.

The expected annual salary for this position ranges from the below. The salary offered will be determined by a wide range of factors including but not limited to experience level, education/training, and relevant skills.

Ohio, Georgia, Texas, Florida, Colorado - $120,000-155,000/year

California, Pennsylvania, Illinois, Washington D.C., Washington- $130,000-165,000/year

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