Salary Range: 160000 to 175000 (Currency: USD) (Pay period: per-year-salary)

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 Overview

As a Data Engineer at Gridware, you’ll help build and maintain the pipelines and data systems powering our Active Grid Response platform. You’ll work closely with cross-functional engineers to ensure telemetry, sensor data, and operational information flows reliably through our Lakehouse and into analytics and monitoring tools. This is a hands-on, high-growth role ideal for engineers ready to deepen their expertise in distributed data systems.

Responsibilities

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

Required Skills

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

Bonus Skills

Experience with IoT, telemetry ingestion, or time-series data
Exposure to Unity Catalog, governance, or schema enforcement
Understanding of Protobuf, Avro, Parquet, or serialization formats
Hands-on experience with observability tools (Grafana, OpenTelemetry)

**At this time, Gridware is unable to provide visa sponsorship or immigration support for this role. We’re only able to consider candidates who are currently authorized to work in the country of employment without visa sponsorship now or in the future.**

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!

Gridware Technologies Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law.

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

Gridware

Data Engineer

About the Job

Requirements

Responsibilities

Desired Qualifications

Responsibilities

Required Skills

Bonus Skills

About the Company

Gridware

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