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Data Engineer Airflow Jobs in Madison, WI (NOW HIRING)

ApartmentIQ

Senior Software Engineer - Data

Madison, WI

$123K - $162K/yr

The Role We are looking for a Senior Software Engineer to drive the evolution of our shared data ... Hands-on experience with batch-style data workflows using tools like dbt, Airflow, or similar ...

All JobsData Engineer Airflow JobsData Engineer Airflow Jobs in Madison, WI

Data Engineer Airflow information

See Madison, WI salary details

$44.8K

$130.7K

$178.9K

How much do data engineer airflow jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data engineer airflow in Madison, WI is $130,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,400.00 and $138,500.00 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.
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Data Engineer Airflow jobs near you

Certified Cloud Engineer AWS

NAVA Software Solutions

Madison, WI • On-site

$56.25 - $75/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

NAVA Software solutions is looking for a Certified Cloud Engineer/ AWS Engineer
Details:
Certified Cloud Engineer/ AWS Engineer
Location: Remote project (Need to be based in WI state)
Duration: 12 months
The Enterprise Analytics Platform (EAP) team supports the development and support of the data lake for the UW System Office and member universities. We are seeking an experienced AWS Redshift Data Engineer to assist our team in designing, developing, and optimizing data pipelines for our AWS Redshift-based data lake house. Priority needs are cloud formation and event-based data processing utilizing SQS to support ingestion and movement of data from Workday to AWS Redshift for consumer and analytic use.
Key Responsibilities:
  • Collaborate with data engineering, business analysts, and development teams to design, develop, test, and maintain robust and scalable data pipelines from Workday to AWS Redshift.
  • Architect, implement, and manage end-to-end data pipelines, ensuring data accuracy, reliability, data quality, performance, and timeliness.
  • Provide expertise in Redshift database optimization, performance tuning, and query optimization.
  • Assist with design and implementation of workflows using Airflow.
  • Perform data profiling and analysis to troubleshoot data-related challenges / issues and build solutions to address those concerns.
  • Proactively identify opportunities to automate tasks and develop reusable frameworks.
  • Work closely with version control team to maintain a well-organized and documented repository of codes, scripts, and configurations using Git/Bitbucket.
  • Provide technical guidance and mentorship to fellow developers, sharing insights into best practices, tips, and techniques for optimizing Redshift-based data solutions.

Required Qualifications and Skills:
  • Advanced hands-on experience designing AWS data lake solutions.
  • Experience integrating Redshift with other AWS services, such as DMS, Glue, Lambda, S3, Athena, Airflow.
  • Proficiency in Python programming with a focus on developing efficient Airflow DAGs and operators.
  • Experience with Pyspark and Glue ETL scripting including functions like relationalize, performing joins and transforming dataframes with pyspark code.
  • Competency developing CloudFormation templates to deploy AWS infrastructure, including YAML defined IAM policies and roles.
  • Experience with Airflow DAG creation.
  • Familiarity with debugging serverless applications using AWS tooling like Cloudwatch Logs & Log Insights, Cloudtrail, IAM.
  • Ability to work in a highly complex python object oriented platform.
  • Strong understanding of ETL best practices, data integration, data modeling, and data transformation.
  • Proficiency in identifying and resolving performance bottleneck and fine-tuning Redshift queries.
  • Familiarity with version control systems, particularly Git, for maintaining a structured code repository.
  • Strong coding and problem-solving skills, and attention to detail in data quality and accuracy.
  • Ability to work collaboratively in a fast-paced, agile environment and effectively communicate technical concepts to non-technical stakeholders.

Additional Useful Experience:
  • Docker
  • Airflow Server Administration
  • Parquet file formats
  • AWS Security
  • Jupyter Notebooks
  • API Best Practices, API Gateway, Route Structuring and standard API authentication protocols including tokens
  • Git, Git flow best practices
  • Release management and DevOps
  • Shell scripting
  • AWS certifications related to data engineering or databases are a plus.
  • Experience with DevOps technologies and processes.
  • Experience with complex ETL scenarios, such as CDC and SCD logics, and integrating data from multiple source systems.
  • Experience in converting Oracle scripts and Stored Procedures to Redshift equivalents.
  • Experience working with large-scale, high-volume data environments.
  • Exposure to higher education, finance, and/or human resources data is a plus.
  • Proficiency in SQL programming and Redshift stored procedures for efficient data manipulation and transformation.
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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