
51 - 200 employees
Founded 2020
⚡ Energy
Energy • Utility • Technology
Gridware is a company that collaborates with utility companies to enhance grid assets using cutting-edge technology. Their innovative systems enable real-time fault detection, streamline outage repairs, and monitor the health of grid infrastructure. By providing data-driven insights, Gridware helps utilities maintain and extend the lifecycle of their assets, contributing to a more reliable and efficient power grid. With deployments in 11 states, the company is dedicated to protecting the grid today while preparing for future challenges.
🕒 6 days ago
🏢🏡 San Francisco – Hybrid
💵 $160k - $175k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
🚰 Data Engineer
🦅 H1B Visa Sponsor
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51 - 200 employees
Founded 2020
⚡ Energy
Energy • Utility • Technology
Gridware is a company that collaborates with utility companies to enhance grid assets using cutting-edge technology. Their innovative systems enable real-time fault detection, streamline outage repairs, and monitor the health of grid infrastructure. By providing data-driven insights, Gridware helps utilities maintain and extend the lifecycle of their assets, contributing to a more reliable and efficient power grid. With deployments in 11 states, the company is dedicated to protecting the grid today while preparing for future challenges.
• Building ETL/ELT pipelines that ingest transformer, pole, and sensor telemetry into Gridware’s Data Lake and Lakehouse • Developing and maintaining real-time and batch ingestion processes using Python, SQL, Databricks, and Spark • Implementing data quality checks, validation rules, and automated testing for stable operations • Collaborating with Software, Firmware, and Data Science teams to define ingestion schemas and transformations • Working with cloud-native tools to optimize pipeline throughput and cost efficiency • Monitoring pipelines for reliability, troubleshooting issues, and contributing to on-call rotations • Writing documentation for data processes, models, and metadata
• 2–4 years of experience as a Data Engineer (or Backend Engineer with heavy data exposure) • Strong proficiency in Python and SQL • Familiarity with data warehouses, Lakehouse platforms, or big data tools (Databricks, Spark, or equivalent) • Experience with pipeline orchestration tools (Airflow, Dagster, Prefect, etc.) • Understanding of event-driven systems or streaming platforms (Kafka, Kinesis, Pub/Sub) • Solid foundation in data modeling, testing, and version control • Ability to work collaboratively in a high-autonomy, fast-paced environment
• 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
Apply Now🕒 May 30
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