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Data Engineer Airflow Jobs in Wisconsin (NOW HIRING)

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 ...

Cooling System Engineer

Mount Pleasant, WI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Cooling System Engineer Department: Oracle L10/L11 Employment Type: Full Time Location: 868 ... airflow sensors, etc.). * Familiarity with server architectures, high-density electronics, and data ...

Cooling System Engineer

Mount Pleasant, WI

$70K - $80K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Cooling System Engineer will collaborate with cross-functional teams--including mechanical ... airflow sensors, etc.). * Familiarity with server architectures, high-density electronics, and data ...

Senior Software Engineer

Wausau, WI · On-site

$131K - $173K/yr

  • Retirement

... data engineering experience with Snowflake and relational databases * 2+ years prior experience or hands-on knowledge working with Apache Airflow and TWSd (Tivoli Workload Scheduler) batch jobs ...

Senior Software Engineer

Wausau, WI · Remote

$131K - $173K/yr

  • Retirement

... data engineering experience with Snowflake and relational databases * 2 years prior experience or hands-on knowledge working with Apache Airflow and TWSd (Tivoli Workload Scheduler) batch jobs ...

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

Showing results 21-40

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 cities in Wisconsin are hiring for Data Engineer Airflow jobs?

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

Senior AI Engineer (Breakthrough)

US VENTURE INC

Green Bay, WI • On-site

$100 - $130/hr

Other

Re-posted 13 days ago


U.S. Venture rating

8.2

Company rating: 8.2 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

91st of 419 rated retail wholesalers


Job description

POSITION SUMMARY

Join our Breakthrough Engineering team with our newly added Senior AI Engineer role! We are seeking a talented and experienced senior level engineer with a background in generative AI and machine learning to join our innovative engineering team. In this role, you will contribute to the design, development, and maintenance of full‑stack software solutions, with a focus on integrating AI/ML technologies to enhance our products and services.

Over $20 trillion of freight moves through the U.S. economy every year, and most of it is still managed through fragmented data, manual processes, and knowledge that lives in people’s heads. We’re changing that. Breakthrough is building agentic AI that can reason through complex, customer‑specific freight scenarios and operate reliably in workflows where the stakes are measured in real dollars.

Agentic capability is becoming the foundation of how every product in our portfolio works. This is not a side project. You’ll join a team of engineers, product managers, and domain experts building production agentic systems from the ground up.

Freight is a deceptively complex domain: fragmented data sources, constantly shifting constraints, and an ecosystem of carriers, shippers, and intermediaries that doesn’t sit still.

The problems you’ll work on include:

  • Designing agent reasoning that navigates complex, customer‑specific freight scenarios
  • Solving entity resolution and data integration across diverse data sources
  • Building evaluation and reliability frameworks that prove agent decisions are sound before they touch customer workflows
  • Defining orchestration patterns that scale from a single product to platform‑wide agentic capability

You’ll work with years of real, proprietary freight data. You’ll influence how these agents interact with users, working alongside product, design, and domain experts. This is not a research role. We ship. But the people who thrive here think deeply about how agents should work, not just how to make them work right now. If you’ve been building agentic systems and want to see what happens when they meet a hard, real‑world domain with real data and real consequences, this is where that work happens.

This role is open to work on‑site in Green Bay or remote/hybrid options based on relevancy of candidate experience.

JOB RESPONSIBILITIES

Generative AI and Machine Learning Development:

  • Implement and integrate generative AI models and machine learning algorithms into existing and new software solutions.
  • Fine‑tune and optimize pre‑trained AI/ML models for specific use cases.
  • Collaborate with engineers and data scientists to build and deploy scalable AI‑driven features.

Full Stack Development:

  • Write clean, efficient, and maintainable code for AI‑powered software applications.
  • Contribute to both frontend and backend development tasks as part of a cross‑functional team, ensuring seamless integration of AI components.

Architectural Design:

  • Work closely with team members and product leads to understand requirements, design AI/ML‑enabled features, and contribute to product success.
  • Participate in architectural discussions to determine the best ways to incorporate AI technologies into existing systems.

Technical Excellence:

  • Actively seek opportunities to learn about emerging AI/ML techniques, tools, and platforms.
  • Optimize and refactor code to address performance bottlenecks in AI/ML pipelines.
  • Write and execute robust unit and integration tests for AI/ML models and other software components.
  • Troubleshoot and resolve issues related to AI/ML model performance and system integration.

Innovation:

  • Stay updated on cutting‑edge advancements in AI/ML, particularly in generative AI models.
  • Propose and implement creative solutions using AI to solve business problems and enhance user experiences.

Collaboration:

  • Partner with senior, staff, and principal engineers to refine development processes for AI/ML integration.
  • Share knowledge about AI/ML best practices with teammates and mentor junior engineers interested in the field.
QUALIFICATIONS
  • Bachelor’s degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience.
  • 7+ years as a software or data engineer.
  • 2+ years experience in AI/ML engineering.
  • Experience using AI/ML libraries and frameworks (e.g., Google SDK, LangChain/Graph, Anthropic, GPT, Gemini, Llama, Vertex, TensorFlow, scikit‑learn ) training and fine‑tuning machine learning models, including supervised, unsupervised, and reinforcement learning approaches.
  • Proficiency in multiple programming languages, frameworks, and technologies such as Python, SQL, ReactJS, Node.js, JavaScript, TypeScript, Apache Beam, dbt, and BigQuery.
  • Knowledge of application architectures, security best practices, and data integration concepts.
  • Exposure to modern infrastructure such as Docker, Kubernetes, Terraform, and Airflow.
  • Understanding of database concepts, data modeling, and data warehousing principles.
  • Understanding of distributed data management systems and related applications.
  • Familiarity with public cloud infrastructure design, tools, and strategies.
  • Knowledge of software development methodologies including Agile, Kanban, and Scrum.
  • Effective communication skills, with the ability to articulate technical concepts to both technical and non‑technical stakeholders.

Preferred:

  • Prior experience in a product focused technology team desired.
  • Prior experience with technical problem‑solving and the ability to navigate complex technical challenges.

DIVISION:

Breakthrough

U.S. Venture will not offer sponsorship for employment status (including, but not limited to, H‑1B, TN, E‑3, F1, CPT, OPT, STEM OPT, visa status and other employment‑based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full‑time basis and must not require U.S. Venture’s sponsorship to continue to work legally in the United States. In general, U.S. Venture does not sponsor candidates for nonimmigrant visas or permanent residency except when there is a specific business need.

U.S. Venture will not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed recruitment Master Service Agreement, there will be no obligation to any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without an agreement, U.S. Venture shall reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of U.S. Venture.

U.S. Venture, Inc. is an equal opportunity employer that is committed to inclusion and diversity. We ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, marital status, age, national origin, disability, veteran status, genetic information, or other protected characteristic. If you need assistance or an accommodation due to a disability, you may call Human Resources at (920) 739-6101.

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