Support with architecture, design, and implementation of Kubernetes environments. Involving in CI/CD pipelines, multi - cloud orchestration, and providing relevant content for clients.
About the role
- Principal Software Engineer focusing on data platform engineering at Itron. Designing scalable data solutions for energy and water management using Apache Spark and Azure technologies.
Responsibilities
- Design and implement scalable data pipelines for high-volume IoT telemetry data
- Analyze and optimize Spark jobs using execution plans, caching strategies, and memory tuning
- Develop Python-based micro-services and reusable libraries to support data processing workflows
- Work in a DevOps Agile/Scrum environment
- Collaborate with product managers, data scientists, and software engineers to define system requirements and data integration needs
- Build and manage infrastructure as code using Terraform
- Create CI/CD pipelines for deploying and testing data workflows and services
- Package and deploy applications in Docker containers
- Apply strong testing practices
- Participate in architectural discussions and technical design reviews
Requirements
- Minimum of 10 years of software engineering experience
- at least 3 years focused on data platform or data engineering roles
- Proficient in Python
- strong knowledge of PySpark and Apache Spark
- Hands-on experience with Databricks and Spark SQL
- Strong understanding of Spark performance tuning and query execution plans
- Experience with Azure / AWS cloud services
- Experience writing infrastructure-as-code using Terraform
- Working knowledge of Docker and containerized deployment
- Experience with CI/CD pipelines
- Bachelor’s degree in Computer Science, Engineering, or related field
Benefits
- financial, social, health and wellbeing programs
- paid vacation
- 401k matching
- employee stock purchase program
- hybrid work schedule
- annual bonus program
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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