Data Engineer
San Francisco, CA
- Pay
USD 160,000–175,000/year — pay source
Salary 160,000 – 175,000 USD per year **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.**
Read the full posting- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type Full-Time
Employment type in the employer’s posting: Full-Time
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
**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.**
Read the full posting
What you’ll work on
Full postingAs a Data Engineer at Gridware, you’ll help build and maintain the pipelines and data systems powering our Active Grid Response platform.
Build ETL/ELT pipelines for transformer, pole, and sensor telemetry
Develop real-time and batch ingestion using Python, SQL, Databricks, and Spark
Add data quality checks, validation rules, and automated tests
Define ingestion schemas and transformations with software, firmware, and data science teams
Monitor pipelines, troubleshoot issues, and join on-call rotations
From the employer’s posting
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.
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
Monitoring pipelines for reliability, troubleshooting issues, and contributing to on-call rotations
What you’ll bring
All qualificationsCore experience
- 2–4 years of experience as a Data Engineer (or Backend Engineer with heavy data exposure)
- Experience with IoT, telemetry ingestion, or time-series data
- Strong proficiency in Python and SQL
- Understanding of Protobuf, Avro, Parquet, or serialization formats
- Familiarity with data warehouses, Lakehouse platforms, or big data tools (Databricks, Spark, or equivalent)
- Hands-on experience with observability tools (Grafana, OpenTelemetry)
Qualification wording
2–4 years of experience as a Data Engineer (or Backend Engineer with heavy data exposure)
Experience with IoT, telemetry ingestion, or time-series data
Strong proficiency in Python and SQL
Understanding of Protobuf, Avro, Parquet, or serialization formats
Familiarity with data warehouses, Lakehouse platforms, or big data tools (Databricks, Spark, or equivalent)
Hands-on experience with observability tools (Grafana, OpenTelemetry)
Tools in this posting
- Python
- SQL
- Databricks
- Grafana
- Kafka
- Prefect
- Spark
- Airflow
- Dagster
Source — Tool mentions in context
- 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
- 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)
- 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 Protobuf, Avro, Parquet, or serialization formats - Hands-on experience with observability tools (Grafana, OpenTelemetry) Salary
- 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
- 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)
Benefits in the posting
Full benefits wording- Health, Dental & Vision (Gold and Platinum with some providers plans fully covered)
- Paid parental leave
- Commuter allowance
- Company-paid training
- Employment type
- Full-Time
From the employer’s posting.
About Gridware
Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid.
In the employer’s words · Read in context
Posting record
Report an errorOpen 5 monthsWe first saw this posting 150 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 1, 2026 · 150 days ago
- Recorded sightings
- 56
- Last seen by us
- Oct 29, 2026
- Employer says posted
- Dec 2, 2025
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
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Job description
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)
Salary
160,000 – 175,000 USD per year
**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
Employment type
Full-Time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary 160,000 – 175,000 USD per year **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.**
- Location & working pattern
San Francisco, CA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
160,000 – 175,000 USD per year **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!
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