Senior Engineer- System Integration

Badger Meter - Where Every Drop Counts and So Do You   At Badger Meter, we're more than a leading global water technology company - we're innovators with a mission: to preserve and protect the world's most precious resource. For over 120 years, our trusted solutions have enabled our customers to optimize the delivery and use of water, maximize revenue and reduce waste. Every employee at Badger Meter is an important part of our success. Here, your work doesn't just move a business forward - it shapes a more sustainable future. We are committed to building a workplace where we celebrate differences, empower voices, and encourage fresh ideas that drive innovation. When you join us, you'll find: Purpose-driven work that makes a real difference in communities around the globe. Career growth and development opportunities designed to help you achieve your potential. A supportive, inclusive culture where collaboration and creativity thrive. Be part of something bigger. At Badger Meter, your contributions will ripple far beyond the workplace - creating lasting change for people and the planet. What You Will Contribute:   The Senior Engineer, Systems Integration is a mid-career position of independence and ownership of large investigations and projects. The Senior Engineer will define the scope and tasks for the investigations and may perform the efforts themselves or with one or more engineers assisting. The incumbent must possess strong knowledge of modeling techniques and system performance, and can define resources and time needed to estimate project efforts. This role focuses on the reliability, security, and scalability of our product monitoring platform ecosystem, encompassing Over-the-Air (OTA) updates, firmware management, outage detection, alerting and automation systems, database infrastructure, and cloud services. The Senior Engineer will represent the team on projects and investigations, report findings to leadership, and act as a mentor to other engineers. ESSENTIAL JOB DUTIES: Leadership & Scope-Setting Act as project lead engineer; may lead a technical team Define the scope of a task/project; develop or provide input to schedules and budgets Define and control product designs Mentor other engineers, including guidance on data ingress, cleaning, and infrastructure maintenance/development Provide oversight of dashboards, product support/issues, and customer issues Platform & Systems Ownership Design, build, and maintain enhancements across our machine learning pipeline orchestration, predictive analytics, and device management platforms to keep telemetry, prediction, and control workflows reliable at scale Support and maintain our OTA update management system, including campaign monitoring, firmware management tooling, and OTA process support Maintain and enhance monitoring dashboards and customer-support data interfaces so monitoring and support teams have reliable, real-time visibility into device, network and platform health Lead troubleshooting, stabilization, and root-cause investigation across platform alerting, data synchronization, machine learning pipeline failures, and outage detection issues Support the ML automation and job-orchestration infrastructure that enables repeatable, scalable execution of pipeline, monitoring, and automation workflows Infrastructure & Cloud Support infrastructure modernization efforts, including migration of legacy systems and services to modern cloud-based environments Implement backup automation, data normalization processes, and archival solutions to ensure data integrity and accessibility across systems Support AWS cloud infrastructure, including compute optimization, load balancing, service configuration, and security implementation (e.g., SSL, authentication) Contribute to database migration and performance stabilization efforts in partnership with data architecture teams Data & ML Collaboration Partner with data engineering and analytics teams to support machine learning-driven initiatives, including data pipeline development, query optimization, and deployment support for outage detection models Collaborate cross-functionally with engineering, digital engineering, and analytics teams to deliver shared infrastructure solutions Documentation & Process Initiate and manage tickets in the team's ticketing system (e.g., JIRA) Write, review, validate, and audit procedures QUALIFICATIONS: Education Bachelor's or Master’s Degree in Engineering, Mathematics, Statistics, Computer Science, Data Science, or Data Analytics, or equivalent practical experience Required Experience & Technical Skills 5+ years of related experience Advanced foundation in engineering fundamentals Experience with Grafana, SQL, NoSQL, Python (Jupyter Notebooks), Elasticsearch, C# or other programming languages Experience with Amazon Web Services, S3, SageMaker, Ec2, ECS, Glue, Kibana, and other data platforms Experience with statistics, econometrics, machine learning, or other mathematical modeling and simulation techniques Experience with data visualization and business intelligence (BI) tools Experience with monitoring, alerting, and automation systems in a production environment Experience with database administration, performance tuning, and migration projects Preferred Qualifications Strong electronic product knowledge Independently solve problems and implement solutions Demonstrated appropriate judgment/decision level of authority Demonstrated ability to drive projects to completion Experience with IoT device, sensor, or endpoint monitoring at scale Familiarity with firmware deployment or OTA (over-the-air) update processes Experience managing ML pipelines end-to-end, from training through deployment and production monitoring Competitive Total Rewards at Badger Meter: Competitive Pay Annual Bonus Eligible for Annual Pay Increases Comprehensive Health, Vision, and Dental Coverage  15 d