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Data Engineer Airflow Jobs in Wisconsin (NOW HIRING)

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 ...

Pwc

Data Engineer - Senior Associate

Milwaukee, WI

$77K - $202K/yr

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Airflow and Apache Hadoop for scalable data processing and workflow management - Building and ...

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 ...

Northwestern Mutual

Senior Data Engineer

Milwaukee, WI · Remote

$113K - $222K/yr

The Senior Data Engineer at Northwestern Mutual Life Insurance Company in Milwaukee, Wisconsin will ... Airflow, Starburst; and (5) Terraform. Interested candidates send resume to apply ...

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 ...

Acrisure

Software Engineer, Data

Stevens Point, WI · On-site

$111K - $133K/yr

Software Engineer, Data Austin, Texas (Hybrid: Four Days in Office) Note: This is a full ... Familiarity with orchestration tools such as Airflow,Dagster, orFivetran. * Experience working in ...

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

$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 ...

Northwestern Mutual

Senior Software Engineer

Milwaukee, WI · On-site

$120K - $158K/yr

... tools (Airflow, Step Functions, Dagster) and CI/CD for data pipelines. • Strong skills in ... and lead engineers. Preferred : • AWS certifications (e.g., AWS Certified Data Analytics ...

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All JobsData Engineer Airflow JobsData Engineer Airflow Jobs in Wisconsin

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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Data Engineer Airflow jobs near you
Jr. Data Engineer

Jr. Data Engineer

Continuus Technologies LLC

Germantown, WI • On-site

$116K - $139K/yr

Full-time

Posted 18 days ago

Job description

Overview

The Junior Data Engineer supports the design, development, and maintenance of data pipelines and data infrastructure. This role focuses on building reliable, scalable data solutions that enable analytics, reporting, and data-driven decision-making across the organization.

Key Responsibilities

  • Assist in building and maintaining data pipelines (ETL/ELT)

  • Support data ingestion from internal and external sources

  • Help clean, transform, and validate data for analytics use

  • Monitor data jobs and troubleshoot data pipeline issues

  • Maintain data models, schemas, and documentation

  • Partner with data analysts and stakeholders to understand data needs

  • Support data quality, reliability, and governance initiatives

  • Follow best practices for version control, testing, and deployment

Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience)

  • Experience with SQL and relational databases

  • Familiarity with at least one programming language (Python preferred)

  • Basic understanding of data warehousing concepts

  • Experience with Git or version control tools

  • Strong problem-solving and analytical skills

Preferred

  • Exposure to cloud platforms (AWS, Azure, or GCP)

  • Familiarity with ETL tools or orchestration frameworks (Airflow, dbt, Fivetran, etc.)

  • Understanding of data lakes and modern data stack concepts

  • Experience working with large or complex datasets