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Data Engineer, Active Grid Response

Gridware
San Francisco, USA
Full-time
Mid · 2+ years experience
Hybrid
USD 160000-175000 yearly / year
Discovered 1 months ago
PythonSQLDatabricksSparkAirflowDagster

Full Job Posting

  • 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
  • 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)

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