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Energy Data Engineer Jobs (NOW HIRING)

KODE Labs

Staff Data Engineer - Energy Data

Detroit, MI · On-site

$150 - $200/hr

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 ...

Far Coder

$125 - $150/hr

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

$125 - $150/hr

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 ...

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 ...

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 ...

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 ...

SupportFinity™

Data Engineer

Redwood City, CA · On-site

$125 - $150/hr

Founded at Stanford's Doerr School and backed by leading investors in Energy and AI, GridCARE is ... We are looking for a Data Engineer with hands-on experience in data ingestion into cloud ...

Bridge Energy

Energy Data Analyst (CT)

Hartford, CT · On-site

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 ...

Pacific Energy Concepts

Energy Engineer

Vancouver, WA · On-site

$88K - $110K/yr

Design submetering and energy data acquisition systems, including meter selection, CT/PT ... Strong engineering judgement and analytical troubleshooting skills * Demonstrated ability to ...

KODE Labs

Energy Analyst

Detroit, MI · On-site

$80 - $100/hr

You'll have hands‑on ownership of energy data workflows -- from setup and validation to automated delivery and visualization -- while working alongside talented engineers, data analysts, and ...

Pacific Energy Concepts

Energy Engineer

Vancouver, WA · On-site

$88K - $110K/yr

Design submetering and energy data acquisition systems, including meter selection, CT/PT ... Strong engineering judgement and analytical troubleshooting skills * Demonstrated ability to ...

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Energy Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do energy data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for 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 is an energy data engineer?

Energy Data Engineers are professionals who design, develop, and maintain systems for collecting, processing, and analyzing data related to energy production, consumption, and distribution. They work with large datasets from sources such as smart meters, sensors, and grid management systems to help energy companies optimize efficiency and support decision-making. Their role often includes building data pipelines, ensuring data quality, and collaborating with data scientists and energy analysts to deliver actionable insights.

What are the key skills and qualifications needed to thrive as an energy data engineer?

To thrive as an Energy Data Engineer, you need a solid background in data engineering, energy systems, and programming languages such as Python or SQL, often supported by a degree in engineering, computer science, or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), energy management systems, and relevant certifications like Certified Energy Manager (CEM) are typical requirements. Strong analytical thinking, problem-solving abilities, and effective communication skills help you translate complex data into actionable insights for stakeholders. These competencies are crucial for optimizing energy usage, ensuring regulatory compliance, and supporting data-driven decision-making in the energy sector.

What are some common challenges energy data engineers face when working with utility-scale energy data?

Energy Data Engineers often encounter challenges related to integrating large volumes of real-time data from diverse sources such as smart meters, sensors, and SCADA systems. Ensuring data quality and consistency is crucial, as energy data can be noisy or incomplete. Additionally, aligning data formats and handling security considerations when collaborating with cross-functional teams—like data scientists, analysts, and operations staff—requires strong communication and problem-solving skills. Staying updated with evolving industry standards and tools is also essential for success in this role.

What is the difference between Energy Data Engineer vs Data Analyst in the energy industry?

AspectEnergy Data EngineerData Analyst
CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of SQL, Python, and cloud platformsBachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentDevelops data pipelines, manages databases, and supports energy data infrastructureAnalyzes data sets, creates reports, and provides insights for energy projects
Industry UsageCommonly employed in energy companies, utilities, and renewable energy firmsUsed across various roles including energy, finance, and consulting firms

The Energy Data Engineer focuses on building and maintaining data systems specific to energy data, while the Data Analyst interprets data to generate insights. Both roles require strong technical skills, but their primary functions differ in infrastructure versus analysis.

What cities are hiring for Energy Data Engineer jobs?

Cities with the most Energy Data Engineer job openings:

What states have the most Energy Data Engineer jobs?

States with the most job openings for Energy Data Engineer jobs include:

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

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

Infographic showing various Energy Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% 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

$150 - $200/hr

Other

PTO

Posted 17 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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