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Data Engineer Airflow Jobs in Wisconsin (NOW HIRING)

Continuus Technologies LLC

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 ...

MGIC Investment Corporation

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 ...

Mgic Investment

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 ...

Marquette University

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

The Data Engineer is responsible for the comprehensive data and reporting infrastructure at ... Experience with MLOps pipelines (DVC, Airflow, etc.) Experience with API data integrations ...

Core BTS

GCP Data Engineer

Appleton, WI

$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 ...

KOHLS

Senior Data Engineer (Remote)

Menomonee Falls, WI · On-site

$123K - $162K/yr

Develop, automate, and maintain batch and streaming ETL pipelines using Apache Airflow, Apache ... Collaborate with stakeholders, data scientists, and full stack engineers to deliver trusted ...

Kiongroup

Senior AI Data Engineer

Wauwatosa, WI · On-site

$121K - $151K/yr

Strong cloud data engineering experience, preferably in GCP, including BigQuery, Pub/Sub, Dataflow/Cloud Run, Composer/Airflow, and modern data platform services. * Strong programming skills in ...

Kiongroup

Senior AI Data Engineer

Wauwatosa, WI

$121K - $151K/yr

Strong cloud data engineering experience, preferably in GCP, including BigQuery, Pub/Sub, Dataflow/Cloud Run, Composer/Airflow, and modern data platform services. * Strong programming skills in ...

Deloitte

Senior Data Engineer

Milwaukee, WI · Hybrid

$104K - $141K/yr

Apache Airflow * Git / Azure DevOps * Deep Spark internals (DAG optimization, spill analysis, skew ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

Serve Robotics

$211K - $246K/yr

Define the data engineering and analytics roadmap, aligned with company goals. This includes ... Hands-on experience with tools such as Snowflake, BigQuery, Redshift, Databricks, dbt, Airflow ...

Acrisure

Software Engineer, Data (L1)

Stevens Point, WI · On-site

$111K - $133K/yr

Familiarity with data orchestration technologies like Airflow, Dagster, or Fivetran * Experience with cloud environments; (GCP, Azure) a definite plus * Familiar with DevOps process * Experience ...

Deloitte

Lead Forward Deployed Engineer - AWS

Milwaukee, WI

$101K - $133K/yr

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 ...

Doist

Senior Software Engineer - Data

Madison, WI · On-site

$140 - $180/hr

# Senior Software Engineer - DataApartmentIQ • Madison , Wisconsin • Real Estate • 4h agoSave ... Hands-on experience with batch-style data workflows using tools like dbt, Airflow, or similar ...

Frey Consulting Group

GCP Solutions Architect

Menasha, WI · On-site

$120 - $180/hr

Cloud Composer (managed Apache Airflow) * Looker / Looker Studio * Adept at applying Agile engineering practices. * Deep familiarity and experience in the following areas: * Data warehouse and lake ...

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All JobsData Engineer Airflow JobsData Engineer Airflow Jobs in Wisconsin

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:

Data Engineer Airflow jobs near you

Staff Data Engineer

Continuus Technologies LLC

Germantown, WI • On-site

$116K - $139K/yr

Full-time

Re-posted 10 days ago

Job description

Role OverviewThe Staff Data Engineer is a senior technical leader responsible for designing, scaling, and governing the organization's data platform and pipelines. This role sets data engineering standards, drives architectural decisions, and mentors engineers while partnering closely with analytics, product, and business leaders to enable reliable, high-impact data solutions.Key ResponsibilitiesArchitect and own scalable, resilient data pipelines and platformsLead design decisions for data ingestion, transformation, and storageEstablish best practices for data modeling, testing, observability, and reliabilityDrive data quality, lineage, and governance frameworksServe as a technical mentor for junior and mid-level data engineersPartner with analytics, product, and business stakeholders to translate needs into data solutionsEvaluate and implement modern data tools and cloud technologiesLead incident response, root cause analysis, and long-term remediationContribute to roadmap planning and long-term data strategyQualificationsBachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)7+ years of experience in data engineering or related rolesAdvanced SQL and strong proficiency in Python (or similar language)Deep experience with data warehousing and data modelingProven experience designing production-grade ETL/ELT pipelinesStrong understanding of distributed systems and data architecturePreferred ExperienceCloud data platforms (AWS, Azure, or GCP)Orchestration and transformation tools (Airflow, dbt, Spark, Kafka, etc.)Data observability, monitoring, and reliability toolingExperience supporting analytics, BI, ML, or product data use casesPrior experience influencing technical strategy without direct authority