Systems Engineer

Badger Meter • Milwaukee, WI

160d

About The Position

The Engineer I, Systems Integration is an early career position that supports the development and integration of data-driven solutions. This position assists with creating and validating machine learning models, building data pipelines, and supporting infrastructure development. The Engineer I will help monitor dashboards, troubleshoot issues, and contribute to the design and implementation of predictive systems. The ideal candidate demonstrates a strong willingness to learn, effective problem-solving skills, and the ability to work in a multidisciplinary team. This position operates under the mentorship of senior engineers and offers opportunities to gain hands-on experience with advanced analytics, cloud platforms, and IoT-enabled systems.

Requirements

• 1-3 years experience required
• Bachelor’s Degree in Machine Learning, Data Science, Computer Science, Electrical Engineering, Systems Engineering, or related field
• Foundational knowledge of machine learning concepts, data analysis, and statistical modeling.
• Proficiency in Python and familiarity with ML libraries such as scikit-learn, TensorFlow, or PyTorch.
• Experience with version control systems (e.g., Git) and basic software development practices.
• Strong problem-solving skills and the ability to work collaboratively in a team environment.
• Experience with data engineering tools (e.g. pandas, polars, SQL) and cloud platforms (e.g. AWS, Azure)
• Experience with creating, tuning, deploying, and assessing machine learning algorithms

Nice To Haves

• Experience working with time series datasets and techniques, including feature extraction, anomaly detection, forecasting, and pattern recognition in temporal datasets.
• Familiarity with data acquisition and analysis from manufactured products, including IoT-enabled devices, embedded systems, or production line equipment
• Demonstrated strong initiative and motivation
• Demonstrated ability to effectively solve problems

Responsibilities

• Assist with monitoring dashboards, product support/issue investigations, customer troubleshooting, etc.
• Assist with ingress and cleaning of data, conduits between data sources and our storage, development of our infrastructure
• Assist in design and implementation of solutions involving model creation and data pipelines
• Support development, testing, and validation of ML algorithms
• Collaborate with software engineers and systems engineers to integrate predictive models into production systems
• Develop tools and scripts for data preprocessing, model evaluation, and system diagnostics
• Learn and navigate Badger Meter systems and procedures
• Gain familiarization with Badger Meter product portfolio
• Participate in code reviews, documentation, and continuous integration/continuous deployment (CI/CD) processes.
• Create technical documentation, including JIRA tickets, integration plans, test procedures, and user guides.

Benefits

• Competitive Pay
• Annual Bonus
• Eligible for Annual Pay Increases
• Comprehensive Health, Vision, and Dental Coverage
• 15 days Paid Time Off + 11 Paid Holidays
• Two Ways to Save for Retirement: Badger Meter contributes 25 cents for every dollar you contribute to the plan, up to 7% of your eligible compensation. In addition to the match, the company will also contribute 5% of your eligible compensation to your Defined Contribution account on an annual basis.
• Additional access to a certified financial planner to help ensure your money is working for you, at no cost!
• Employer Paid benefits including: Employee Assistance Program (EAP), Basic Group Life Insurance, Short Term Disability, and more
• Educational Assistance – Tuition Reimbursement up to $5,250
• Voluntary benefits including: Additional Life Insurance, Long Term Disability, Accident and Critical Illness coverage
• Health Savings Account (HSA) & Flexible Spending Account (FSA) options

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees