Gridware
About Gridware
Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate‑tech and Silicon Valley investors. For more information, please visit www.Gridware.io.
Role Description As a Senior Data Engineer at Gridware, you’ll design and scale the data infrastructure that powers our real‑time grid monitoring platform. You’ll build high‑performance pipelines that transform massive streams of sensor and telemetry data into actionable insights – helping detect faults, predict failures, and strengthen the grid that powers entire communities.
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.
Required Skills
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
Bonus Skills
Experience with real‑time data processing and streaming analytics frameworks
Familiarity with IoT and embedded systems, including sensor data pipelines and edge computing
Hands‑on with Docker, Kubernetes, and Protobuf in production environments
Exposure to machine learning workflows and real‑time monitoring for IoT and time‑series data
Comfortable operating in a high‑growth startup environment, adapting quickly across domains
This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply!
Benefits
Health, Dental & Vision (Gold and Platinum with some provider 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
Commuter allowance
Company‑paid training
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Role Description As a Senior Data Engineer at Gridware, you’ll design and scale the data infrastructure that powers our real‑time grid monitoring platform. You’ll build high‑performance pipelines that transform massive streams of sensor and telemetry data into actionable insights – helping detect faults, predict failures, and strengthen the grid that powers entire communities.
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.
Required Skills
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
Bonus Skills
Experience with real‑time data processing and streaming analytics frameworks
Familiarity with IoT and embedded systems, including sensor data pipelines and edge computing
Hands‑on with Docker, Kubernetes, and Protobuf in production environments
Exposure to machine learning workflows and real‑time monitoring for IoT and time‑series data
Comfortable operating in a high‑growth startup environment, adapting quickly across domains
This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply!
Benefits
Health, Dental & Vision (Gold and Platinum with some provider 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
Commuter allowance
Company‑paid training
#J-18808-Ljbffr