Brookfield, WI

Data Jobs in Brookfield, WI

3 jobs found

Include remote jobs

1mo ago

Data Engineer

Robert Half Brookfield, WI

Brookfield, WI

1mo ago Closed

$100k - $130k/yr Full time Big Data Bigdata Data

This position is no longer accepting applications (closed Oct 27, 2026).

Job Description

The Data Engineer position in Brookfield, WI is responsible for developing and expanding a cloud-focused data environment that supports analytics, reporting, automation, and emerging AI use cases. The role partners with technical and business teams to deliver scalable and dependable pipelines and platform solutions.

Responsibilities

Design, build, and maintain scalable data pipelines that move and transform information for analytics, reporting, and operational needs.
Work with business stakeholders, analysts, software developers, and leaders to understand data requirements and deliver reliable engineering solutions.
Develop and refine data models and platform architecture to support performance, flexibility, and long-term growth.
Implement ETL processes that integrate data from multiple sources while improving consistency, completeness, and accessibility.
Use Python and distributed data technologies, including Apache Spark and Hadoop, to process large and complex datasets efficiently.
Support streaming and event-driven workflows using tools such as Apache Kafka when real-time delivery is required.
Monitor data quality, troubleshoot pipeline issues, and optimize workflows to ensure dependable delivery and strong system performance.
Identify opportunities to improve scalability, automation, and engineering standards across ongoing data platform enhancements.
Bring experience in data engineering with a strong record of building and supporting production data pipelines.

Requirements

Hands-on proficiency in Python for data processing, transformation, and workflow development.
Experience working with Apache Spark for large-scale data workloads.
Familiarity with Hadoop-based ecosystems and distributed data processing concepts.
Practical knowledge of Apache Kafka or similar streaming technologies for real-time data movement.
Strong understanding of ETL design, implementation, and optimization across varied data sources.
Ability to collaborate with cross-functional teams and translate business needs into technical solutions.

Technology Stack

Python
Apache Spark
Hadoop
Apache Kafka

Location

Brookfield, WI (onsite)

Compensation

USD 100,000 - 130,000 per year

Benefits

Medical, vision, dental, and life and disability insurance (for contract/temporary professionals)
401(k) plan eligibility for hired contract/temporary professionals

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2mo ago

Machine Learning Engineer II

Milwaukee Electric Tool Corporation Brookfield, WI

Brookfield, WI

2mo ago Closed

Full time Python AI Ai Ml

This position is no longer accepting applications (closed Sep 1, 2026).

Job Description

Milwaukee Electric Tool Corporation seeks a Machine Learning Engineer II to create, develop, and validate machine learning models for power tool solutions, collaborating with cross-functional teams to deploy ML across Milwaukee products worldwide. The role emphasizes ownership, strong problem-solving and communication skills, and project-management capabilities. This onsite position is based in Brookfield, WI, and requires at least one year of hands-on ML experience along with a bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.

Responsibilities

Create, develop, and validate machine learning models.
Work with highly cross-functional teams to make power tool solutions that change the lives of our users.
Innovate and explore new machine learning solutions to deploy into Milwaukee products around the world while demonstrating excellent problem-solving skills, critical thinking, and the ability to thrive under pressure in a dynamic environment.
Success in this role also requires strong technical communication skills and fundamental project management abilities.
Demonstrate a proactive sense of ownership for projects and tasks and an understanding of how they connect to broader initiatives.

Requirements

Completed course work or specialization in Machine Learning and/or Data Science
At least one year of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field
Demonstrated experience applying fundamental machine learning algorithms and techniques in a non-coursework setting (e.g. unsupervised or supervised learning, classification/regression, dimensionality reduction, model optimization)
Demonstrated experience with machine learning and AI methods such as CNNS, transformers, or computer vision
Proficient developing and debugging code in Python
Proficiency in Python, with extensive experience in common libraries (NumPy, pandas, scikit-learn, Matplotlib, etc.)
Proficiency with at least one deep learning framework (e.g. PyTorch or Tensor Flow)
Solid mathematical foundation in statistics, linear algebra, calculus and optimization
Experience working with modern software development tools and version control tools
Excellent problem-solving skills, critical thinking, and ability to work well under pressure in a dynamic environment
Excellent technical communication skills and fundamental project management abilities
Demonstrated strong sense of ownership of a project or tasks and understanding of relationships to other tasks/projects
Ability to travel up to 10% of the time (domestic and international)

Technologies

Python
NumPy
pandas
scikit-learn
Matplotlib
CNNS
transformers
computer vision
PyTorch
Tensor Flow
C
C++

Benefits

Health, dental and vision insurance
401(k) savings plan
Education assistance
On-site wellness, fitness center, food, and coffee service

Other Tools We Prefer You to Have

Master’s degree or PhD in Machine Learning or related field is preferred
At least three years of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field (an advanced degree may count toward some experience)
Experience with time series modelling, especially with related domains such as NLP, SLAM, forecasting, or audio/video processing
Proven track record of developing, deploying and implementing AI or ML solutions connected to business objectives
Proficient developing and debugging code in an embedded environment in a programming language such as C or C++
Working knowledge of various sensor technologies (e.g. IMU, thermistors, magnetic and optical) and interfacing to microcontrollers
Working knowledge of embedded systems architecture (HW & SW), microcontroller design and operation
Experience with different types of data collection methods, understanding their principles and demonstrating their value in relevant environments
Experience developing and deploying machine learning algorithms to edge environments
Demonstrated ability to develop robust MLOps pipelines and ensure efficient deployment, monitoring and scaling of ML models

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2mo ago

Machine Learning Engineer I

Milwaukee Electric Tool Corporation Brookfield, WI

Brookfield, WI

2mo ago Closed

Full time Ai Ml Artificial Intelligence Deep Learning

This position is no longer accepting applications (closed Aug 30, 2026).

Job Description

Benefits at a glance: Robust health, dental and vision coverage; a generous 401(k) plan; education assistance; and on-site wellness resources including a fitness center, as well as on-site food and coffee service. Based in Brookfield, Wisconsin and onsite, this role thrives within a collaborative, cross-functional culture that focuses on delivering power tool solutions that improve users' lives.

Responsibilities

Deploy machine learning models in innovative ways while partnering with cross-functional teams to create power tool solutions that positively impact users.
Serve as the technical authority for ML concepts, guiding their progression from concept to product and supporting implementation, validation, and production handoff.
Apply strong problem‑solving and critical thinking within a dynamic, fast-paced environment and maintain composure under pressure.
Utilize clear technical communication and foundational project management to ensure alignment and clarity across teams.
Demonstrate ownership of projects and tasks with a clear link to broader initiatives and outcomes.

Requirements

Bachelor of Science in Computer Science, Computer Engineering, Electrical Engineering or another scientific or engineering discipline.
Completed coursework or specialization in Machine Learning and/or Data Science.
Experience applying core machine learning algorithms and techniques outside of coursework, including unsupervised and supervised learning, classification/regression, dimensionality reduction, and model optimization.
Experience with ML and AI methods such as CNNs, transformers, or computer vision.
Proficiency in developing and debugging code in Python.
Strong proficiency in Python with extensive experience using common libraries (NumPy, pandas, scikit-learn, Matplotlib, etc.).
Experience with at least one deep learning framework (PyTorch or TensorFlow).
Solid mathematical foundation in statistics, linear algebra, calculus and optimization.
Ability to travel up to 10% of the time, including domestic and international travel.

Technologies

Python
NumPy
pandas
scikit-learn
Matplotlib
PyTorch
TensorFlow
CNNs
transformers
C
C++

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Data Jobs in Brookfield, WI

Data Engineer

Machine Learning Engineer II

Machine Learning Engineer I

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