What are the responsibilities and job description for the Data Engineering Manager position at Gridware?
About Gridware
Gridware exists to enhance and protect the mother of all networks: the electrical grid. The grid touches everything and the consequences can be dire when it fails: wildfires burn, land is destroyed, property is damaged, and lives are lost.
Our team created an advanced sensing system to continuously analyze critical grid behavior. Utilizing high-precision sensor arrays and intelligence, our system identifies and preemptively mitigates faults. The technology has been proven with utilities to bolster safety, enhance reliability, and reduce outages. 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 San Francisco, California.
\n- Lead the design, development, and maintenance of scalable data pipelines and architectures.
- Implement and optimize data ingestion, transformation, and storage solutions.
- Ensure data quality, integrity, and security across multiple data sources and platforms.
- Collaborate with software engineers, data scientists, analysts, and other stakeholders to define and fulfill data requirements.
- Monitor, troubleshoot, and improve data workflows for performance and efficiency.
- Establish and document best practices for data processes, architecture, and workflow procedures.
- Lead and mentor a team of data engineers, fostering a culture of technical growth and collaboration.
- 4 years of experience in data engineering or a related role.
- 2 years Technical leadership and People management
- Strong proficiency in SQL and experience with relational and time-series databases.
- Hands-on experience with data pipeline and event streaming technologies (e.g., Apache Airflow, Spark, Kafka, Flink).
- Proficiency in Python for data processing and automation.
- Experience with cloud-based data platforms such as Databricks.
- Experience with AWS
- Knowledge of ETL processes, data modeling, governance, compliance and data warehousing concepts.
- Familiarity with version control, CI/CD pipelines, and testing frameworks for data workflows.
- Strong problem-solving skills, analytical thinking, and attention to detail.
- Excellent communication and leadership skills
- Experience with real-time data processing frameworks.
- Familiarity with IoT and embedded systems data
- Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
- Experience in a high-growth startup environment.
- Familiarity with monitoring and alerting systems for real-time data analysis.
- Knowledge of machine learning and data science concepts.
Benefits
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.
Commuter allowance
Company-paid training
