Job Description

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.

Requirements

• 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.

Benefits

• Competitive compensation based on experience and location.
• Fully remote role with flexible working hours.
• Opportunity to drive meaningful impact on climate-focused technology.
• Work alongside a team that values curiosity, candid communication, and continuous learning.
• Supportive environment with a strong emphasis on growth and shared success.
• Inclusive and diverse culture where different perspectives are welcomed and respected.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
It compares your profile to the job’s core requirements and past success factors to determine your match score.
Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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