About The Company
Verdigris is a forward-thinking company dedicated to transforming energy management through innovative AI-driven solutions. Our mission is to sustain and enrich human life by creating responsive, autonomous environments that optimize energy usage and predict equipment failures in mission-critical buildings. By leveraging cutting-edge sensor technology and intelligent data platforms, we aim to promote sustainable practices and reduce carbon footprints across industries. Our core values emphasize innovation, collaboration, integrity, and a commitment to environmental impact, positioning us as a leader in energy intelligence and IoT solutions.
About The Role
We are seeking a highly skilled Data Engineer to join our dynamic, fully remote team. In this role, you will be instrumental in designing, building, and maintaining our modern data architecture that supports real-time analytics, machine learning, and customer-facing insights. You will collaborate closely with product management, hardware teams, and data scientists to develop scalable, reliable data pipelines and storage solutions. Your expertise will help shape our data ecosystem, enabling us to deliver actionable intelligence to optimize energy consumption and enhance building management systems. The ideal candidate will be passionate about data modeling, architecture, and engineering, with a focus on delivering high-performance solutions that support our mission of sustainability and operational excellence.
Qualifications
Verdigris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, color, gender, gender identity or expression, sexual orientation, age, national origin, disability, or any other protected status. We believe that a diverse team fosters innovation and drives our mission forward.
Verdigris is a forward-thinking company dedicated to transforming energy management through innovative AI-driven solutions. Our mission is to sustain and enrich human life by creating responsive, autonomous environments that optimize energy usage and predict equipment failures in mission-critical buildings. By leveraging cutting-edge sensor technology and intelligent data platforms, we aim to promote sustainable practices and reduce carbon footprints across industries. Our core values emphasize innovation, collaboration, integrity, and a commitment to environmental impact, positioning us as a leader in energy intelligence and IoT solutions.
About The Role
We are seeking a highly skilled Data Engineer to join our dynamic, fully remote team. In this role, you will be instrumental in designing, building, and maintaining our modern data architecture that supports real-time analytics, machine learning, and customer-facing insights. You will collaborate closely with product management, hardware teams, and data scientists to develop scalable, reliable data pipelines and storage solutions. Your expertise will help shape our data ecosystem, enabling us to deliver actionable intelligence to optimize energy consumption and enhance building management systems. The ideal candidate will be passionate about data modeling, architecture, and engineering, with a focus on delivering high-performance solutions that support our mission of sustainability and operational excellence.
Qualifications
- 5+ years of experience in data engineering, working with large-scale, high-throughput systems
- Proven expertise in designing dimensional models and OLAP schemas (fact/dimension tables)
- Deep understanding of columnar databases and internals such as ClickHouse, Druid, StarTree, or Pinot
- Strong SQL skills and proficiency in Python for data pipeline development
- Experience handling updates, inserts, and type-2 dimensions in time-series or event stores
- Excellent knowledge of cloud platforms, preferably AWS
- Experience with orchestrating ETL/ELT workflows using tools like Airflow, Dagster, or AWS Step Functions
- Familiarity with stream processing technologies such as Kafka, Flink, or Spark Streaming
- Ability to work within core hours aligned with Pacific, Mountain, or Central time zones
- Collaborate with product management to understand use cases and develop data solutions that enhance user experience
- Design and own schema and data models for energy metering and building management system data
- Architect and maintain cost-effective, high-performance data storage solutions, including modern databases like ClickHouse or StarTree
- Lead the development of scalable ETL/ELT pipelines to ingest, transform, and serve data efficiently
- Ensure optimal performance and efficiency of analytical queries across large datasets
- Establish and enforce data quality standards, validation protocols, and governance policies
- Support real-time IoT analytics and streaming pipelines for high-fidelity energy data
- Manage BI tools such as Looker, Tableau, or Superset to facilitate data visualization and reporting
- Contribute to the development of internal data tools aimed at engineers and analysts
- Collaborate with AI/ML teams to support model training, inference pipelines, and feature engineering
- Work closely with web and application teams to ensure seamless data access for real-time and batch processing
- Manage team projects, coordinate with technical leads, and mentor junior engineers
- Participate in technical hiring to build a strong, collaborative engineering team
- Competitive salary and comprehensive health benefits
- Flexible remote work environment with a focus on work-life balance
- Opportunities for professional growth and development in a cutting-edge industry
- Collaborative and inclusive company culture that values diverse perspectives
- Participation in impactful projects that contribute to sustainability and climate change mitigation
- Access to modern tools and technologies to support your work
Verdigris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, color, gender, gender identity or expression, sexual orientation, age, national origin, disability, or any other protected status. We believe that a diverse team fosters innovation and drives our mission forward.