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Airflow Developer Jobs in Milwaukee, WI (NOW HIRING)

Mgic Investment

Senior Data Engineer

Milwaukee, WI · Remote

$104K - $141K/yr

Author, schedule, deploy, and monitor data workflows with Apache Airflow on Astronomer, applying ... developer workflows, enablement, success measures, and a phased rollout. * Lead design and code ...

New

Foxconn WI

Cooling System Engineer

Mount Pleasant, WI · On-site

$70K - $80K/yr

The Cooling System Engineer will collaborate with cross-functional teams--including mechanical ... Perform thermal analysis and computational fluid dynamics (CFD) modeling to evaluate airflow ...

KOHLS

Senior Data Engineer (Remote)

Menomonee Falls, WI · On-site

$123K - $162K/yr

About the Role As Senior Software Engineer, you will collaborate closely with design, product and ... Develop, automate, and maintain batch and streaming ETL pipelines using Apache Airflow, Apache ...

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 ...

Pwc

Data Engineer - Senior Associate

Milwaukee, WI · On-site

$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 ...

PS SEASONING & SPICES INC

Design Engineer

Hartford, WI · On-site

The Design Engineer is responsible for designing, developing, and improving smoker products and ... airflow, durability, and safety considerations into designs Manufacturing Support · Collaborate ...

KOHLS

Senior MLOps Engineer (Remote)

Menomonee Falls, WI · On-site

$104K - $144K/yr

Experience in MLOps or DevOps practices, including building and operating production ML systems ... Kubeflow, Airflow and SQL * Extensive expertise in Python and machine learning libraries (e.g ...

Milwaukee Tool

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 ...

New

Northwestern Mutual

Senior Data Engineer

Milwaukee, WI · Remote

$113K - $222K/yr

... and DevOps environment; (3) Data Integration Patterns and Tooling including ELT/ETL, EII ... Airflow, Starburst; and (5) Terraform. Interested candidates send resume to apply ...

Kiongroup

Senior AI Context Engineer

Wauwatosa, WI · Hybrid

$134K - $179K/yr

This role focuses on engineering semantic layers, certified KPI frameworks, metadata systems, and ... Airflow, Cloud Run). * Deep expertise in SQL, Python, and data modeling (dimensional modeling ...

Kiongroup

Senior AI Context Engineer

Wauwatosa, WI · Hybrid

$134K - $179K/yr

This role focuses on engineering semantic layers, certified KPI frameworks, metadata systems, and ... Airflow, Cloud Run). * Deep expertise in SQL, Python, and data modeling (dimensional modeling ...

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All JobsAirflow Developer JobsAirflow Developer Jobs in Milwaukee, WI

Airflow Developer information

See Milwaukee, WI salary details

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$52

$80

How much do airflow developer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for airflow developer in Milwaukee, WI is $52.06, according to ZipRecruiter salary data. Most workers in this role earn between $39.81 and $63.70 per hour, depending on experience, location, and employer.

What is an Airflow developer?

Airflow Developers are professionals who design, build, and maintain data workflows using Apache Airflow, an open-source platform for orchestrating complex computational workflows and data processing pipelines. They are responsible for writing, scheduling, and monitoring tasks (DAGs) that automate data movement and transformation across systems. Airflow Developers work closely with data engineers, analysts, and other stakeholders to ensure reliable and efficient data pipeline automation. Their expertise includes Python programming, Airflow configuration, troubleshooting, and best practices for scalable workflow management.

What is the difference between Airflow Developer vs Data Engineer?

AspectAirflow DeveloperData Engineer
Required CredentialsKnowledge of Apache Airflow, Python, SQLData modeling, SQL, Python, cloud platforms
Work EnvironmentFocus on workflow orchestration, automationData pipeline development, storage, processing
Industry UsageTech, finance, healthcare for workflow automationBroad industries for data infrastructure

While both roles involve working with data and Python, an Airflow Developer specializes in designing and maintaining workflow automation using Apache Airflow. In contrast, a Data Engineer builds and manages data pipelines and infrastructure across various tools and platforms. The roles often overlap but differ mainly in scope and focus.

What are the key skills and qualifications needed to thrive as an Airflow developer, and why are they important?

To thrive as an Airflow Developer, you need strong programming skills in Python, experience with data pipelines, and a solid understanding of workflow orchestration concepts. Familiarity with Apache Airflow, cloud platforms (like AWS or GCP), and version control systems such as Git are typically required, along with knowledge of containerization tools like Docker. Analytical thinking, attention to detail, and effective communication are key soft skills for collaborating with data teams and troubleshooting complex workflows. These competencies ensure reliable, scalable, and maintainable data pipeline solutions that support organizational data needs.

What are some common challenges Airflow developers face when managing complex data pipelines, and how can these be addressed?

Airflow Developers often encounter challenges such as managing dependencies between tasks, handling large-scale workflows, and ensuring reliable pipeline execution. To address these, it's essential to design modular DAGs (Directed Acyclic Graphs), implement robust error handling, and use features like sensors and retries strategically. Collaboration with data engineers and stakeholders is also key for troubleshooting and optimizing workflows. Effective monitoring and logging practices further help in quickly identifying and resolving issues.
What are popular job titles related to Airflow Developer jobs in Milwaukee, WI? For Airflow Developer jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Airflow Developer jobs in Milwaukee, WI look for? The top searched job categories for Airflow Developer jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Airflow Developer jobs? Cities near Milwaukee, WI with the most Airflow Developer job openings:
Airflow Developer jobs near you
Infographic showing various Airflow Developer job openings in Milwaukee, WI as of August 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $108,283 per year, or $52.1 per hour.

Senior Data Engineer

Mgic Investment

Milwaukee, WI • Remote

$104K - $141K/yr

Full-time

Retirement, PTO

Posted 2 days ago

New

Job description

At MGIC, we take pride in knowing that what we do matters. As pioneers of private mortgage insurance, we help people achieve homeownership sooner - making affordable low-down-payment mortgages a reality. Our efforts have helped more than 14 million people get the keys to their own homes sooner than otherwise possible. Every position is critical to our company's success - from the analytical to the technical; from the innovative to the operational. The customer-facing roles to behind-the-scenes experts, we're all part of one team. We're an organization with a national footprint that's large enough to never lack for a new challenge, but small enough for an opportunity to make an impact and influence decisions. Come make a difference at MGIC.

Summary:

We're building great things at MGIC, and we are excited to be offering this position. This is an opportunityhelpuscreate the next generation data platform. Becoming Data-driven is at the core of our transformation - join us and help us build the future!

We arelooking for aSeniorData Engineerwhoispassionate aboutbuilding trusted, scalabledataproductswithmodern cloudtechnologies. As part of theData & Analytics team, you will design and deliver a Snowflake-centered data platform, automate source-to-warehouse ingestion with Fivetran, develop analytics-ready transformations withdbt, and orchestrate production workflows with Astronomer and Apache Airflow.

Responsibilities:

  • Define and evolve data integration frameworks, engineering standards, reusable patterns, and governance practices for a modern cloud data platform.

  • Design scalable Snowflake data architectures, including databases, schemas, tables, views, virtual warehouses, role-based access, and approaches for performance and cost optimization.

  • Build and operate reliable batch and incremental ingestion pipelines using Fivetran connectors, including source configuration, schema-change handling, sync monitoring, troubleshooting, and custom connector patterns when needed.

  • Develop modular, maintainabledbtmodels in Snowflake; implement source definitions, tests, documentation, lineage, incremental strategies, and reusable macros.

  • Author, schedule, deploy, and monitor data workflows with Apache Airflow on Astronomer, applying effective dependency management, retry, alerting, backfill, and failure-recovery practices.

  • Implement observability and data-quality controls across ingestion, orchestration, and transformation layers so production data is accurate, timely, and available to stakeholders.

  • Partner with business, analytics, architecture, security, and engineering teams to translate requirements into durable data products and a long-term platform roadmap.

  • Deliver changes through Git-based development, automated testing, code review, and CI/CD practices acrossdbtand Airflow projects.

  • Troubleshoot data and pipeline issues across source systems, Fivetran, Astronomer,dbt, Snowflake, and downstream consumption layers.

  • Evaluate Cortex Code capabilities and lead the development of a practical adoption plan for incorporating AI-assisted engineering into solution delivery processes, including prioritized use cases, governance and security guardrails, developer workflows, enablement, success measures, and a phased rollout.

  • Lead design and code reviews, share engineering best practices, and mentor junior data engineers.

Required skills:

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or relevant experience.

  • 5 or more years of data engineering experience, including cloud data warehousing, dimensional data modeling, ETL/ELT, analytics enablement, and production pipeline support.

  • Hands-on Snowflake experience, including advanced SQL, data loading and transformation, virtual warehouse sizing, query optimization, access controls, and cost-conscious platform operation.

  • Experience building production-gradedbtprojects with modular models, tests, documentation, source freshness, incremental models, macros, packages, and CI/CD.

  • Experience developing and operating Apache Airflow DAGs; familiarity with Astronomer or another managed Airflow platform, including deployment, monitoring, alerting, and troubleshooting.

  • Experience implementing and supporting managed ELT with Fivetran, including connector setup, incremental synchronization, schema evolution, monitoring, and issue resolution.

  • Strong Python and SQL skills; experience with APIs, data formats, shell scripting, and Git-based development workflows.

  • Experience with AWS services such as S3, Lambda, IAM, and related cloud data services, plus Agile delivery and end-to-end automation practices.

  • Knowledge of Cortex Code and AI-assisted software development practices, ordemonstratedwillingness and ability to build a responsible adoption plan that integrates the technology into solution delivery processes while maintaining security, governance, code-review, testing, and change-management standards.

  • Strong communication, problem-solving, and collaboration skills, with the ability to influence technical decisions and mentor other engineers.

Pay Range:

$105,590.00 - $179,510.00

This range aligns with current market data and reflects our commitment to competitive and equitable compensation. Salary offers are based on factors such as experience, skills, education, and training. The range may vary in certain locations to reflect local market conditions. It is not typical to initiate pay at the top of the range to account for internal equity and allow for future and continued salary growth

Enjoy these benefits from day one:
Competitive Salary & pay-for-performance bonus
Financial Benefits (401k with company match, profit sharing, HSA, wellness program)
On-site Fitness Center and classes (corporate office)
Paid-time off and paid company holidays
Business casual dress

For additional information about MGIC and to apply, please visit our website at www.mgic.com/careers.

Note to all recruitment agencies:
MGIC does not accept unsolicited agency resumes. Any unsolicited resumes sent to MGIC, directly or indirectly, will be considered MGIC property. MGIC is not responsible for any agency fees associated with unsolicited resumes. A recruiting agency must have a valid, written and fully executed agency agreement to assist with a requisition.

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