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Lead Data Engineer (Remote - North America) at Jobgether. This position is posted by Jobgether on behalf of Verdigris. We are currently looking for a Lead Data Engineer in North America.. This role offers a unique opportunity to shape the foundation of a modern data platform powering real-time energy intelligence at scale. You'll architect high-performance data pipelines and infrastructure to support analytics, IoT integration, and machine learning. In a highly collaborative and purpose-driven environment, you’ll lead key architectural decisions and bring clarity to complex data flows. If you're motivated by building robust systems with real-world environmental impact, this is a chance to make your mark while working fully remotely with a forward-thinking, agile team.. . Accountabilities:. . Design and own schema modeling for energy metering and building management data.. . Architect and maintain cost-effective, high-throughput data storage solutions (e.g. ClickHouse, StarTree).. . Build, optimize, and manage scalable ETL/ELT pipelines for ingesting and transforming sensor data.. . Lead the evaluation and integration of modern tools in a scalable data stack.. . Implement and uphold data quality, governance, and validation frameworks.. . Support real-time analytics, streaming pipelines, and BI tooling across domains.. . Collaborate with AI/ML, web, and application teams to meet real-time and batch data access needs.. . Contribute to building internal data tools and infrastructure to support engineering and analysis.. . Manage projects, mentor junior engineers, and coordinate with technical leads.. . . Based in North America with availability during core working hours (10:00AM–5:00PM PST).. . 5+ years of experience in data engineering at scale with large-volume, high-frequency datasets.. . Expertise in dimensional modeling, OLAP schema design, and columnar data stores (e.g., ClickHouse, Druid).. . Strong SQL skills and experience with Python for pipeline development and data manipulation.. . Familiarity with event-driven systems, stream processing tools (Kafka, Flink, Spark Streaming), and real-time analytics.. . Experience with ETL orchestration tools (e.g., Dagster, Airflow), AWS cloud services, and PostgreSQL.. . Knowledge of time-series data practices, especially within IoT or energy-related domains, is a plus.. . Bonus points for experience in BMS/HVAC data systems, data observability, cataloging, and MLOps.. . Proven leadership, team mentorship, and a strong track record of collaborative delivery.. . Company Location: United States.