Senior Engineer- System Integration

Badger Meter•Milwaukee, WI

12d

About The Position

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.

Requirements

Bachelor's or Master’s Degree in Engineering, Mathematics, Statistics, Computer Science, Data Science, or Data Analytics, or equivalent practical experience
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

Nice To Haves

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

Responsibilities

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
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
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
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
Initiate and manage tickets in the team's ticketing system (e.g., JIRA)
Write, review, validate, and audit procedures

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