Senior Data Engineer

Gridware creates advanced sensing systems to continuously analyze and protect electrical grid behavior, preventing failures and enhancing safety.
Data
Senior Software Engineer
Hybrid
5+ years of experience
AI · Enterprise SaaS

Description For Senior Data Engineer

Gridware is an innovative company focused on protecting and enhancing the electrical grid through advanced sensing systems. As a Senior Data Engineer, you'll play a crucial role in designing and maintaining data pipelines that support real-time grid monitoring systems. The position involves working with large-scale sensor data and ensuring data integrity for critical infrastructure.

The company is privately held and backed by prominent climate-tech and Silicon Valley investors, headquartered in San Francisco. Their mission is vital: preventing grid failures that can lead to wildfires, property damage, and loss of life. Their technology has been proven effective with utilities in bolstering safety, enhancing reliability, and reducing outages.

This role offers an opportunity to work on meaningful problems with real-world impact. You'll be handling complex data architectures, implementing ETL processes, and working with modern technologies like Python, SQL, and big data tools. The position requires someone with strong technical skills and 5+ years of experience, but the company encourages applications even if you don't meet all requirements.

The benefits package is comprehensive, including full health coverage options, paid parental leave, and unique perks like alternating Mondays off and a two-week paid break called "Off the Grid." The hybrid work environment in San Francisco offers flexibility while maintaining collaborative opportunities with the team.

Working at Gridware means contributing to critical infrastructure protection while growing professionally in a well-funded, mission-driven organization. The role combines technical challenges with meaningful impact, making it ideal for data engineers who want their work to matter.

Last updated 2 days ago

Responsibilities For Senior Data Engineer

  • 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
  • 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

Requirements For Senior Data Engineer

Python
Kafka
Kubernetes
  • 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

Benefits For Senior Data Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
Commuter Benefits
Education Budget
  • 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

Interested in this job?

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