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Data Engineer Airflow Jobs in Nebraska (NOW HIRING)

Data Engineer 2

Omaha, NE · On-site

$109K - $131K/yr

... g., Airflow, Dagster, Prefect) and scheduling patterns. • Experience implementing CI/CD quality ... Data Engineering, or equivalent practical experience. • Minimum 3 years of experience in data ...

Data Engineer 2

Omaha, NE · On-site

$109K - $131K/yr

In the role of Data Engineer 2, we'll count on you to: Build and maintain batch and streaming ... Experience with orchestration tools (e.g., Airflow, Dagster, Prefect) and scheduling patterns.

Data Engineer 2

Omaha, NE · On-site

$109K - $131K/yr

In the role of Data Engineer 2, we'll count on you to: Build and maintain batch and streaming ... Experience with orchestration tools (e.g., Airflow, Dagster, Prefect) and scheduling patterns.

Sr. Data Engineer

Omaha, NE · On-site

$94K - $138K/yr

You will apply strong data engineering fundamentals alongside software engineering and DevOps ... Familiarity with orchestration and workflow tools such as Databricks Workflows, Airflow, or similar ...

New

Sr. Data Engineer

Omaha, NE · Hybrid

$94K - $138K/yr

You will apply strong data engineering fundamentals alongside software engineering and DevOps ... Familiarity with orchestration and workflow tools such as Databricks Workflows, Airflow, or similar ...

New

Sr. Data Engineer

Omaha, NE · Hybrid

$94K - $138K/yr

You will apply strong data engineering fundamentals alongside software engineering and DevOps ... Familiarity with orchestration and workflow tools such as Databricks Workflows, Airflow, or similar ...

New

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.
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Infographic showing various Data Engineer Airflow job openings in Nebraska as of July 2026, with employment types broken down into 2% Locum Tenens, 86% Full Time, 5% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.
Data Engineer 2

Data Engineer 2

HDR

Omaha, NE • On-site

$109K - $131K/yr

Full-time

Re-posted 18 days ago


HDR rating

9.1

Company rating: 9.1 out of 10

Based on 57 frontline employees who took The Breakroom Quiz

25th of 368 rated engineering


Job description

At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world?
Watch Our Story:' https://www.hdrinc.com/our-story'
Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world.
In the role of Data Engineer 2, we'll count on you to:
• Build and maintain batch and streaming ingestion pipelines from source systems into the enterprise data platform.
• Implement robust error handling, retries, and recovery patterns to improve reliability.
• Collaborate with platform teams on connectivity, access, and operational readiness.
• Develop transformation models using a layered structure (raw, conformed, curated) to separate concerns and improve maintainability.
• Use dependency management patterns to ensure correct build order and reproducible transformations.
• Leverage shared code and reusable components to standardize patterns, reduce duplication, and enforce consistent logic.
• Implement incremental processing where appropriate to reduce runtime and warehouse cost.
• Implement data quality tests (e.g., unique, not_null, accepted_values) on critical models and key business entities.
• Configure and monitor source freshness expectations for important upstream datasets.
• Maintain model and column-level documentation; publish documentation and lineage to enable impact analysis and change management.
• Integrate transformations into CI/CD workflows (build, test, docs generation) before promotion to higher environments.
• Participate in code reviews, follow branching standards, and adhere to quality gates and approval processes.
• Support release and rollback practices to maintain stability and reduce risk.
• Tune transformations for performance and efficiency; partner with stakeholders to manage cost impacts.
• Support monitoring and alerting for pipelines and transformations; respond to incidents and perform root cause analysis.
• Document operational procedures and contribute to runbooks/playbooks.
Preferred Qualifications
• Hands-on experience with dbt Cloud or dbt Core in Git-integrated workflows.
• Experience with orchestration tools (e.g., Airflow, Dagster, Prefect) and scheduling patterns.
• Experience implementing CI/CD quality gates for data (tests, linting, docs artifacts).
Required Qualifications
• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or equivalent practical experience.
• Minimum 3 years of experience in data engineering, data integration, or related roles.
• Proven SQL proficiency and experience building transformations and pipelines.
• Familiarity with cloud data platforms and modern ELT patterns.
Qualifications
What We Believe
HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve.
Our Commitment
As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day.
Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.

What HDR employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


HDR logo

About HDR

Sourced by ZipRecruiter

At HDR, we specialize in engineering, architecture, environmental and construction services. While we are most well-known for adding beauty and structure to communities through high-performance buildings and smart infrastructure, we provide much more than that. We create an unshakable foundation for progress because our multidisciplinary teams also include scientists, economists, builders, analysts and artists.

Industry

Specialized design services

Company size

5,001 - 10,000 Employees

Headquarters location

Omaha, NE, US

Year founded

1917