Senior Data Engineer

Gridware exists to enhance and protect the mother of all networks: the electrical grid. The grid touches everything, and when it grinds to a halt, the consequences can be dire: wildfires burn, land is destroyed, property is damaged, progress stops, and lives are lost.

Our team engineers an advanced sensing system to continuously analyze both the electrical and mechanical behavior of grid assets. Utilizing high-precision sensor arrays, the system identifies and allows preemptive mitigation of faults. The technology has been proven with utilities to bolster safety, reliability, and reduce customer outage durations. The demand for power will only increase. We protect the grid of today while we build the grid of tomorrow.

Gridware is privately held and backed by the best climate-tech and Silicon Valley investors. We are headquartered in the Bay Area in northern California.

Role Description:

The Senior Data Engineer is responsible for designing, building, and optimizing data pipelines and infrastructure to support real-time grid monitoring systems. This role involves handling large-scale sensor data, ensuring data integrity, and enabling seamless data flow for analysis and decision-making.

Responsibilities:

The Senior Data Engineer will, as a starting point, be responsible for the following:

1. Design, develop, and maintain scalable data pipelines and architectures.
2. Implement data ingestion, transformation, and storage solutions.
3. Ensure data quality and integrity across various data sources and destinations.
4. Collaborate with software engineers, data scientists, analysts, and other stakeholders to meet data requirements.
5. Optimize and tune data workflows for performance and efficiency.
6. Monitor, troubleshoot, and resolve issues in data pipelines and related systems.
7. Document data processes, architecture, and workflow procedures.

Required Skills:

• 5+ years’ proven experience in data engineering or a similar role.
• Strong proficiency in SQL and experience with relational and time series databases
• Hands-on experience with big data technologies (e.g., Hadoop, Spark, Kafka).
• Proficiency in Python
• Experience with Databricks, Grafana
• Knowledge of data modeling, ETL processes, and data warehousing concepts.
• Knowledge of version control, automated deployments, and testing pipelines
• Familiarity with data governance and data security best practices.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Bonus Skills:

The ideal candidate will also have:

• Knowledge of machine learning and data science concepts.
• Experience with real-time data processing frameworks
• Familiarity with IOT / embedded systems
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Experience in high-growth startup environments where you must wear many hats
• Experience with Protobuf
• Familiarity with monitoring and alerting systems for real-time IoT time series analysis.

We encourage you to apply even if you don’t have all of the bonus skills listed above. We believe diverse perspectives drive innovation and growth.

Benefits:

• Flexible hours / hybrid schedule for those in the Bay Area
• Health, Dental & Vision (Gold and Platinum plans fully covered)
• Paid parental leave
• Commuter allowance
• Company-paid training

Gridware is an equal opportunity employer. We want applicants of diverse backgrounds and hire without regard to color, gender, religion, national origin, citizenship, disability, age, sexual orientation, or any other characteristic protected by law.