Data Engineer – Active Grid Response

Gridware

Data Engineer building and maintaining data pipelines for Gridware's Active Grid Response platform. Collaborating with cross-functional teams to ensure reliable data flow and insights.

Posted 6/1/2026full-timeSan Francisco • California • 🇺🇸 United StatesJuniorMid-Level💰 $160,000 - $175,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowCloudETLKafkaPythonSparkSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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

ATS Keywords

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Hard Skills & Tools

PythonSQLETLELTDatabricksSparkdata modelingautomated testingpipeline orchestrationversion control

Soft Skills

collaborationtroubleshootingdocumentationhigh-autonomyfast-paced environment