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Green Energy Data Engineer Jobs (NOW HIRING)

KODE Labs

Staff Data Engineer - Energy Data

Detroit, MI · On-site

$104K - $125K/yr

Our team at KODE Labs is looking for a Staff Data Engineer - Energy Data to build the systems that turn raw energy and meter data into trusted, calculation-ready datasets. In this role, you'll ...

Socket.dev

Senior Data Engineer

London, KY · On-site

$89K - $121K/yr

We're united by a shared goal: to drive the global green energy revolution. Read our Spotlight series to meet some of the team. To deliver on this mission, we are looking for a Senior Data Engineer ...

Far Coder

As such, EnergyHub seeks to hire an Energy Data Scientist to join EnergyHub's Analytics Engineering team. As an Energy Data Scientist you will work closely with other data scientists and analytics ...

EnergyHub

Energy Data Scientist

As such, EnergyHub seeks to hire an Energy Data Scientist to join EnergyHub's Analytics Engineering team. As an Energy Data Scientist you will work closely with other data scientists and analytics ...

KODE Labs

Data Engineer

Detroit, MI · On-site

$104K - $125K/yr

Our team is hiring a Data Engineer to join our EnerG team . Be a driving force behind our ... You will play a pivotal role in shaping the future of energy management by architecting and ...

EnergyHub

Energy Data Scientist

As such, EnergyHub seeks to hire an Energy Data Scientist to join EnergyHub's Analytics Engineering team. As an Energy Data Scientist you will work closely with other data scientists and analytics ...

Bridge Energy

Bridge Energy Services (BES) is seeking an Energy Data Analyst with educational or work experience ... Bachelors degree, preferably in: energy, business, finance, accounting, sciences, engineering, math ...

kWantera

Energy Data Analyst

Pittsburgh, PA · On-site

Our team of quantitative energy market analysts work with our big data analytics platform to ... and has programming background, preferably in Python. We are seeking independent and critical ...

Green River Data Group Inc.

Data Engineer

$117K - $140K/yr

Join our growing data team at Green River as a Data Engineer. This role will support projects that matter by designing, building, and maintaining robust data infrastructure and workflows to support ...

kWantera

Energy Data Analyst

Pittsburgh, PA · On-site

Our team of quantitative energy market analysts work with our big data analytics platform to ... and has programming background, preferably in Python. We are seeking independent and critical ...

Green River Data Group Inc.

Data Engineer

$117K - $140K/yr

Join our growing data team at Green River as a Data Engineer. This role will support projects that matter by designing, building, and maintaining robust data infrastructure and workflows to support ...

Texture

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Who we are Texture is revolutionizing the energy sector by creating a unified data network. Backed ... You can write SQL queries in your sleep and have experience with programming languages like Python ...

Green River Data Group Inc.

Data Engineer

$117K - $140K/yr

Join our growing data team at Green River as a Data Engineer. This role will support projects that matter by designing, building, and maintaining robust data infrastructure and workflows to support ...

Bridge Energy

Energy Data Analyst (CT)

Hartford, CT

Bridge Energy Services (BES) is seeking an Energy Data Analyst with educational or work experience ... Bachelors degree, preferably in: energy, business, finance, accounting, sciences, engineering, math ...

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Green Energy Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do green energy data engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for green energy data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What does a green energy data engineer do?

A Green Energy Data Engineer designs, builds, and manages data systems that collect and analyze information related to renewable energy sources, such as solar, wind, and hydroelectric power. They help organizations optimize energy production, improve efficiency, and reduce environmental impact by turning raw data into actionable insights. Their work often involves collaborating with energy analysts, scientists, and engineers to support sustainability goals and ensure compliance with environmental regulations.

What skills and qualifications are needed to thrive as a green energy data engineer?

To thrive as a Green Energy Data Engineer, you need a solid background in data engineering, renewable energy systems, and programming languages such as Python or SQL, typically supported by a relevant degree in engineering or computer science. Familiarity with big data platforms (like Hadoop or Spark), cloud services (AWS, Azure), and certifications in data analytics or renewable energy technologies are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with cross-functional teams and translate complex data into actionable insights. These skills are crucial for optimizing energy production, supporting sustainability goals, and driving innovation in the rapidly evolving green energy sector.

What are common challenges green energy data engineers face when integrating new data sources from renewable energy systems?

Green Energy Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and the complexity of integrating data from diverse renewable energy sources like solar panels, wind turbines, and smart grids. These systems may use different communication protocols and collection frequencies, requiring robust ETL (Extract, Transform, Load) pipelines and data validation processes. Collaboration with field technicians and system vendors is essential to resolve compatibility issues and ensure reliable data flow, making adaptability and strong communication skills valuable in this role.

What is the difference between Green Energy Data Engineer vs Renewable Energy Data Analyst?

AspectGreen Energy Data EngineerRenewable Energy Data Analyst
Required CredentialsBachelor's in Data Science, Environmental Engineering, or related; certifications in data management or renewable energyBachelor's in Environmental Science, Data Analysis, or related; certifications in data analysis tools
Work EnvironmentData-focused roles in renewable energy companies, engineering firms, or research institutionsAnalytical roles in renewable energy firms, consulting agencies, or government agencies
Employer & Industry UsageDesigns data infrastructure for green energy projects, optimizing energy systemsAnalyzes renewable energy data to inform project decisions and policy

The Green Energy Data Engineer primarily develops and manages data systems for green energy projects, focusing on infrastructure and data integration. In contrast, the Renewable Energy Data Analyst interprets data to support decision-making and policy development. Both roles are vital in the renewable energy sector but differ in their core responsibilities and focus areas.

Are renewable energy data engineers in demand?

Renewable energy data engineers are in high demand due to the growing focus on sustainable energy solutions and the need for data analysis, modeling, and management in the sector. Their skills in data processing, programming, and knowledge of renewable energy systems are increasingly sought after by companies and organizations investing in clean energy projects.

What are popular job titles related to Green Energy Data Engineer jobs?

For Green Energy Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Green Energy Data Engineer job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Staff Data Engineer - Energy Data

Detroit, MI • On-site

KODE Labs
51 - 200 employees
Learn more about KODE Labsexternal

$104K - $125K/yr

Other

PTO

Posted 18 days ago

Key responsibilities

  • Define and implement energy meter validation rules across integrations, meter types, units, reporting frequencies, and building configurations.

  • Build production-grade validation, cleaning, and normalization pipelines that transform raw meter data into trusted, calculation-ready datasets.

  • Partner with software engineers to productize validation logic into reusable tooling, APIs, monitoring workflows, and automated validation systems.

Job description

Our team at KODE Labs is looking for a Staff Data Engineer - Energy Data to build the systems that turn raw energy and meter data into trusted, calculation-ready datasets.

In this role, you'll combine strong data and software engineering skills with an understanding of time-series and energy data. You'll define validation and cleaning logic, build production-grade pipelines, and partner with software engineers to turn these capabilities into scalable, reusable parts of KODE OS.

What You Will Do
  • Define and implement energy meter validation rules across integrations, meter types, units, reporting frequencies, and building configurations.
  • Build production-grade validation, cleaning, and normalization pipelines that transform raw meter data into trusted, calculation-ready datasets.
  • Validate incoming integration data for completeness, freshness, schema consistency, timestamps, units, and expected behavior.
  • Use Digital Twin context to validate meter identity, units, hierarchy, equipment relationships, and expected reporting frequency.
  • Develop detection and handling logic for spikes, outliers, gaps, duplicates, stale values, and missing data.
  • Build robust logic for cumulative-to-interval conversion, including meter resets, rollovers, replacements, negative deltas, and invalid drops.
  • Establish quality flags, confidence indicators, and clear lineage between raw, cleaned, and corrected values.
  • Develop reusable validation patterns that can scale across customers, buildings, integrations, and different types of meters.
  • Build monitoring and observability around energy data quality so issues can be identified before they impact downstream calculations or customer‑facing products.
  • Partner with Energy, Integrations, Digital Twin, and Data teams to understand upstream data behavior and downstream calculation requirements.
  • Work closely with software engineers to productize validation logic into reusable tooling, APIs, monitoring workflows, and automated validation systems.
  • Continuously improve validation and cleaning approaches as new integrations, meter types, and data‑quality scenarios emerge.
Requirements
  • Strong data engineering experience working with IoT, meter, operational, or high‑volume time‑series data.
  • Strong SQL and Python skills, with the software engineering experience to build reliable production systems.
  • Experience building data validation, cleaning, anomaly detection, and data‑quality pipelines.
  • Strong understanding of time‑series data challenges, including gaps, irregular intervals, duplicates, timestamps, stale data, and outliers.
  • Understanding of energy concepts such as consumption, demand, cumulative and interval meters, cost, EUI, and unit normalization.
  • Experience building scalable data pipelines and working with modern data processing and storage technologies.
  • Strong problem‑solving skills and the ability to translate complex data‑quality scenarios into reusable engineering solutions.
  • Ability to collaborate effectively across data, software engineering, product, and domain teams.
  • Competitive salary based on experience
  • Discretionary Bonus Program
  • Career Development Program and opportunities to grow within the company
  • Flexible Paid Time Off
  • Dynamic team and challenging projectsCustom‑tailored onboarding experience
  • Welcoming and friendly work environment
  • Social events and team activities
JOIN THE TEAM

KODE Labs is a real estate technology company founded in 2017 with a mission to change the way people, buildings, and systems operate. Headquartered in Detroit, Michigan, we are a driving force behind the adoption of smart building technology. To scale our presence across numerous cities and countries, we depend on our team of talented, ambitious people who go above and beyond to create value for our clients.

When you join the KODE Labs team you can create your own career. Whether you have years of experience or are just starting, we help you realize your full potential and achieve your goals.

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