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Data Engineer Airflow Jobs in Wisconsin (NOW HIRING)

$113K - $136K/yr

Job Title: Entry-level Data Engineer Full-Time Candidate must be open to relocate. We are seeking a ... Knowledge of PySpark , AWS S3 , Lambda , EC2 , Airflow , or GCP . * Familiarity with Machine ...

New

Lead Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Lead Data Engineer Location: Madison, WI (Hybrid) Duration: 6+months C2H (Contract to Hire ... Cloud Composer (Airflow) * Pub/Sub * Cloud Storage * Strong SQL development and data modeling ...

Lead Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Lead Data Engineer Location: Madison, WI (Hybrid) Duration: 6+months C2H (Contract to Hire ... Cloud Composer (Airflow) * Pub/Sub * Cloud Storage * Strong SQL development and data modeling ...

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

OverviewThe Junior Data Engineer supports the design, development, and maintenance of data ... frameworks (Airflow, dbt, Fivetran, etc.)Understanding of data lakes and modern data stack ...

Senior Data Engineer

Milwaukee, WI · On-site

$104K - $141K/yr

We are looking for a Senior Data Engineer who is passionate about building trusted, scalable data ... Author, schedule, deploy, and monitor data workflows with Apache Airflow on Astronomer, applying ...

Senior Data Engineer

Milwaukee, WI · Remote

$104K - $141K/yr

Define and evolve data integration frameworks, engineering standards, reusable patterns, and ... Author, schedule, deploy, and monitor data workflows with Apache Airflow on Astronomer, applying ...

WI · On-site

$100 - $125/hr

Join as a Data Engineer in our Data Product Engineering team within Schibsted's Data & AI ... Airflow, AWS, Terraform, and Git, supported by solid engineering practices around testing ...

WI · On-site

$80 - $100/hr

Ervaring met een orchestrator framework zoals Apache Airflow, Dagster of Prefect * Ervaring met data governance tools zoals DataHub, greatexpectations, ... Aanbod Als Data Engineer bij Axxes geniet ...

Collaborate with stakeholders, data scientists, and full-stack engineers to deliver trusted ... Experience with Apache Airflow, Apache Spark, Python, and Scala for ETL pipelines * Experience with ...

New

Sr Data Engineer

Menomonee Falls, WI · On-site

$114K - $138K/yr

Familiarity with modern data engineering tools and practices such as Spark, Databricks, Airflow,dbt,Fabric, or automated testing. * Strong understanding of data quality, data governance, data ...

WI · On-site

$150 - $200/hr

Extensive experience with Airflow, Snowflake, Fivetran, DBT, AWS, GitHub Actions, Docker ... Data Engineering Leadership * Cloud Columnar Databases * Modern ELT Pipelines * Data Governance and ...

New

WI · On-site

$100 - $125/hr

We are looking for a Data Engineer to design, build and maintain the data pipelines, data ... Airflow, dbt or Apache Flink. Work with streaming data architectures to process real-time sensor ...

WI · On-site

$125 - $150/hr

Join our growing data team at Green River as a Data Engineer. This role will support projects that ... Experience with orchestration tools such as Apache Airflow. * Experience integrating with business ...

Data Engineer

Delafield, WI · On-site +1

$109K - $131K/yr

Collaborate with analysts, data scientists, and software engineers to understand requirements and ... Experience building pipelines with orchestration tools (e.g., Airflow, Dagster, or dbt for ...

New

GCP Data Engineer

Appleton, WI · On-site

$75 - $80/hr

... Airflow) o Cloud Data Fusion o Looker / Looker Studio · Understanding of Agile engineering practices · Deep familiarity and experience in the following areas: o Data warehouse and lake house ...

Senior Data Engineer III

Foxboro, WI · On-site

$130K - $160K/yr

The Position We are seeking a Senior Data Engineer to join our growing Enterprise Data & Analytics ... Our technology stack includes Snowflake, dbt, Fivetran, Airflow, and Power BI, all running in the ...

WI · On-site

$100 - $125/hr

Experience with data orchestration tools (e.g., Airflow, Prefect, or dbt) * Programming experience in Python, C#, or similar languages * Experience with data analysis and machine learning libraries ...

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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 are popular job titles related to Data Engineer Airflow jobs in Wisconsin?

For Data Engineer Airflow jobs in Wisconsin, the most frequently searched job titles are:

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

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

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

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

$113K - $136K/yr

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Job description

Job Title: Entry-level Data Engineer

Full-Time

Candidate must be open to relocate.


We are seeking a motivated Data Scientist with a strong interest in data engineering, machine learning, and analytics. The ideal candidate will assist in developing scalable data solutions, building data pipelines, analyzing data, and supporting AI-driven initiatives. This role is ideal for candidates with 1–4 years of experience who are eager to build their careers in data engineering and artificial intelligence.


Key Responsibilities

  • Develop, test, and maintain data engineering and AI solutions using Python.
  • Write, optimize, and maintain SQL queries for data extraction, transformation, and analysis.
  • Design and support end-to-end data pipelines and workflows.
  • Collect, clean, transform, and analyze structured and unstructured data.
  • Collaborate with developers, data engineers, analysts, and business stakeholders to understand requirements.
  • Support the development of machine learning and AI solutions.
  • Automate repetitive data processing tasks using Python.
  • Troubleshoot and resolve data pipeline and database-related issues.
  • Document technical solutions, workflows, and development processes.
  • Stay updated with emerging technologies and industry best practices.


Required Skills

  • 1–4 years of experience in Data Engineering, Data Analytics, Machine Learning, or AI Engineering.
  • Strong proficiency in Python programming.
  • Good understanding of SQL and relational databases.
  • Experience developing end-to-end data solutions.
  • Knowledge of data processing, ETL concepts, and data transformation techniques.
  • Strong analytical and problem-solving skills.
  • Good communication and teamwork abilities.


Preferred Skills

  • Experience with one or more cloud platforms such as AWS, Azure, or Databricks.
  • Knowledge of PySpark, AWS S3, Lambda, EC2, Airflow, or GCP.
  • Familiarity with Machine Learning, Generative AI, or Computer Vision.
  • Understanding of probability and statistical concepts.
  • Experience with GitLab or other version control systems.
  • Knowledge of R Programming is a plus.


Qualifications

  • Bachelor's Degree in Computer Science, Information Systems, Mathematics, or a related quantitative field.
  • A relevant Master's degree is a plus.
  • Strong written and verbal English communication skills.
  • Must be willing to relocate anywhere within the United States for onsite client projects.


Thank you