Verdigris LLC
Lead Data Engineer
Verdigris LLC - Iowa, Louisiana, United States, 70647
Work at Verdigris LLC
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Overview
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Lead Data Engineer
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Lead Data Engineer
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Verdigris Mission, Vision, Values
Verdigris is on a mission to sustain and enrich human life through responsive energy intelligence. Our AI sensors automate energy management and predict unseen equipment failures in mission-critical buildings. This is a critical step for autonomous, sustainable environments responsive to their inhabitants. Mission, Vision, Values
Verdigris is on a mission to sustain and enrich human life through responsive energy intelligence. Our AI sensors automate energy management and predict unseen equipment failures in mission-critical buildings. This is a critical step for autonomous, sustainable environments responsive to their inhabitants.
About You
You are deeply interested in how data flows not just pipelines and tooling, but also how data is modeled, validated, and used to make decisions. You care about the structure and quality of data, and you take pride in designing systems that are reliable, scalable, and performant.
Youre execution-oriented: you like to ship, iterate, and improve. Youre comfortable navigating ambiguity and thrive in environments where the architecture is evolving. You enjoy tracking down data anomalies, validating assumptions, and making the invisible visible. You take ownership of your work, ask thoughtful questions, and collaborate well across disciplines.
Youre motivated by purpose building something that has impact, not just technically, but in the real world. Youre excited by the opportunity to shape the foundations of a modern data platform that supports climate-focused outcomes at scale.
About The Team
At Verdigris, our cloud software (data, web, ML) are a single team, collaborating to deliver insights that help data centers and other critical facilities optimize energy use and reduce carbon impact. We design and maintain APIs and data products that transform raw sensor data into real-time, actionable intelligence.
We partner closely with the Edge Hardware team, which streams high-fidelity, sub-second energy data from our IoT sensors to the cloud. Our team is responsible for modeling, storing, and serving that data to support real-time applications, machine learning, and customer-facing analytics.
Were currently evolving our core architecture to embrace a
modern, scalable data stack , including
stream and OLAP-integrated databases like ClickHouse or StarTree
(under evaluation), and are laying the foundation for a
data mesh architecture . This will enable decentralized, domain-oriented data ownership and empower us to move faster with more reliable, discoverable, and performant data. You will help us design and implement this data architecture and migrate existing data.
We operate as a fully remote team with daily virtual standups and a two-week sprint cadence. We primarily work from 10:00am PST to 6:00pm PST. Were committed to cross-functional collaboration and high-impact delivery.
Core Responsibilities
Collaborate with Product Management, Understand use cases and personas, and engineer product to support a strong user experience Own schema design and data modeling for energy metering and building management system (BMS) data Architect and maintain cost-effective and performant next generation data storage (e.g. ClickHouse, StarTree, etc) Lead data architecture decisions, including evaluating and integrating tools in our modern data stack Build and manage robust, scalable ETL/ELT pipelines to ingest, transform, and serve data Ensure performance and efficiency of analytical queries across large datasets Develop and enforce data quality, validation, and governance standards
Adjacent Responsibilities
Support real-time IoT analytics and streaming pipelines Owning BI tooling (e.g. Superset, Looker, Tableau, etc) Contribute to building internal data tools for engineers and analysts Collaborate with AI/ML teams to support model training and inference pipelines Work with web and application teams to ensure real-time and batch data access needs are met Manage team projects and coordinate with other technical leads Mentor junior engineers and contribute to technical hiring
Required Qualifications
Align with core working hours, 10:00AM PST to 5:00PM PST in either pacific, mountain, or central timezones 5+ years of experience in data engineering with large-scale, high-throughput systems Proven experience designing dimensional models and OLAP schema (fact/dimension tables) Deep understanding of columnar stores and database internals (e.g., ClickHouse, Druid, StarTree, Pinot) Strong SQL skills and proficiency with Python for data pipelines Experience handling updates/inserts/type-2 dimensions for time-series or large-scale event stores
Preferred Qualifications
Experience with BMS/HVAC or Energy data is a plus Experience with usage of time series and energy data used for diagnostics and efficiency Experience with IoT or sensor data systems Experience working in AWS Cloud Experience with Postgres Proficiency in orchestrating ETL workflows (e.g. Dagster, Airflow, AWS Step Functions, etc.) Familiarity with stream processing tools (e.g., Kafka, Flink, Spark Streaming) Exposure to machine learning feature stores or MLOps tooling Experience with data observability and data cataloging tools Experience managing a team or others
Applying to Verdigris is a chance to make an impact by joining a mission-driven startup. Were innovating for the energy management industry hoping to positively affect climate change. Verdigrisians aim to be ego-free authorities in our fields. We take our work seriously and strive for an opportunity-filled environment supportive of curious minds.
You can expect thoughtful, hardworking, and funny teammates. We value differing perspectives and embrace candid, direct and constant feedback. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, origin, gender, orientation, age, or status.
Seniority level
Seniority level
Not Applicable Employment type
Employment type
Full-time Job function
Job function
Information Technology Industries
Technology, Information and Internet Referrals increase your chances of interviewing at Verdigris by 2x Sign in to set job alerts for Data Engineer roles.
Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
Lead Data Engineer
role at
Verdigris Join to apply for the
Lead Data Engineer
role at
Verdigris Mission, Vision, Values
Verdigris is on a mission to sustain and enrich human life through responsive energy intelligence. Our AI sensors automate energy management and predict unseen equipment failures in mission-critical buildings. This is a critical step for autonomous, sustainable environments responsive to their inhabitants. Mission, Vision, Values
Verdigris is on a mission to sustain and enrich human life through responsive energy intelligence. Our AI sensors automate energy management and predict unseen equipment failures in mission-critical buildings. This is a critical step for autonomous, sustainable environments responsive to their inhabitants.
About You
You are deeply interested in how data flows not just pipelines and tooling, but also how data is modeled, validated, and used to make decisions. You care about the structure and quality of data, and you take pride in designing systems that are reliable, scalable, and performant.
Youre execution-oriented: you like to ship, iterate, and improve. Youre comfortable navigating ambiguity and thrive in environments where the architecture is evolving. You enjoy tracking down data anomalies, validating assumptions, and making the invisible visible. You take ownership of your work, ask thoughtful questions, and collaborate well across disciplines.
Youre motivated by purpose building something that has impact, not just technically, but in the real world. Youre excited by the opportunity to shape the foundations of a modern data platform that supports climate-focused outcomes at scale.
About The Team
At Verdigris, our cloud software (data, web, ML) are a single team, collaborating to deliver insights that help data centers and other critical facilities optimize energy use and reduce carbon impact. We design and maintain APIs and data products that transform raw sensor data into real-time, actionable intelligence.
We partner closely with the Edge Hardware team, which streams high-fidelity, sub-second energy data from our IoT sensors to the cloud. Our team is responsible for modeling, storing, and serving that data to support real-time applications, machine learning, and customer-facing analytics.
Were currently evolving our core architecture to embrace a
modern, scalable data stack , including
stream and OLAP-integrated databases like ClickHouse or StarTree
(under evaluation), and are laying the foundation for a
data mesh architecture . This will enable decentralized, domain-oriented data ownership and empower us to move faster with more reliable, discoverable, and performant data. You will help us design and implement this data architecture and migrate existing data.
We operate as a fully remote team with daily virtual standups and a two-week sprint cadence. We primarily work from 10:00am PST to 6:00pm PST. Were committed to cross-functional collaboration and high-impact delivery.
Core Responsibilities
Collaborate with Product Management, Understand use cases and personas, and engineer product to support a strong user experience Own schema design and data modeling for energy metering and building management system (BMS) data Architect and maintain cost-effective and performant next generation data storage (e.g. ClickHouse, StarTree, etc) Lead data architecture decisions, including evaluating and integrating tools in our modern data stack Build and manage robust, scalable ETL/ELT pipelines to ingest, transform, and serve data Ensure performance and efficiency of analytical queries across large datasets Develop and enforce data quality, validation, and governance standards
Adjacent Responsibilities
Support real-time IoT analytics and streaming pipelines Owning BI tooling (e.g. Superset, Looker, Tableau, etc) Contribute to building internal data tools for engineers and analysts Collaborate with AI/ML teams to support model training and inference pipelines Work with web and application teams to ensure real-time and batch data access needs are met Manage team projects and coordinate with other technical leads Mentor junior engineers and contribute to technical hiring
Required Qualifications
Align with core working hours, 10:00AM PST to 5:00PM PST in either pacific, mountain, or central timezones 5+ years of experience in data engineering with large-scale, high-throughput systems Proven experience designing dimensional models and OLAP schema (fact/dimension tables) Deep understanding of columnar stores and database internals (e.g., ClickHouse, Druid, StarTree, Pinot) Strong SQL skills and proficiency with Python for data pipelines Experience handling updates/inserts/type-2 dimensions for time-series or large-scale event stores
Preferred Qualifications
Experience with BMS/HVAC or Energy data is a plus Experience with usage of time series and energy data used for diagnostics and efficiency Experience with IoT or sensor data systems Experience working in AWS Cloud Experience with Postgres Proficiency in orchestrating ETL workflows (e.g. Dagster, Airflow, AWS Step Functions, etc.) Familiarity with stream processing tools (e.g., Kafka, Flink, Spark Streaming) Exposure to machine learning feature stores or MLOps tooling Experience with data observability and data cataloging tools Experience managing a team or others
Applying to Verdigris is a chance to make an impact by joining a mission-driven startup. Were innovating for the energy management industry hoping to positively affect climate change. Verdigrisians aim to be ego-free authorities in our fields. We take our work seriously and strive for an opportunity-filled environment supportive of curious minds.
You can expect thoughtful, hardworking, and funny teammates. We value differing perspectives and embrace candid, direct and constant feedback. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, origin, gender, orientation, age, or status.
Seniority level
Seniority level
Not Applicable Employment type
Employment type
Full-time Job function
Job function
Information Technology Industries
Technology, Information and Internet Referrals increase your chances of interviewing at Verdigris by 2x Sign in to set job alerts for Data Engineer roles.
Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr