Gridware is looking to design and scale the data infrastructure that powers its real-time grid monitoring platform to improve safety, reduce outages, and ensure the grid operates efficiently.
Requirements
- 4+ years of experience in data engineering or related roles, building and scaling real-time data infrastructure
- Strong in Python and SQL, with deep experience in relational, time-series, and streaming databases
- Hands-on with modern data stacks - Spark, Kafka, Databricks, Grafana, and other cloud-native tools
- Skilled in data modeling, ETL/ELT pipelines, and real-time streaming architectures for production systems
- Familiar with CI/CD, version control, and data governance/security best practices
- Experience with real-time data processing and streaming analytics frameworks
- Familiarity with IoT and embedded systems, including sensor data pipelines and edge computing
Responsibilities
- Design, develop, and maintain scalable data pipelines and architectures.
- Implement data ingestion, transformation, and storage solutions.
- Ensure data quality and integrity across various data sources and destinations.
- Collaborate with software engineers, data scientists, analysts, and other stakeholders to meet data requirements.
- Optimize and tune data workflows for performance and efficiency.
- Monitor, troubleshoot, and resolve issues in data pipelines and related systems.
- Document data processes, architecture, and workflow procedures.
Other
- 4+ years of experience in data engineering or related roles
- Health, Dental & Vision (Gold and Platinum with some providers plans fully covered)
- Paid parental leave
- Alternating day off (every other Monday)
- Off the Grid, a two week per year paid break for all employees
