Staff Data Engineer - Energy Data

KODE Labs; Detroit (MI); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Bonus program

Career development

Flexible PTO

Onboarding program

Friendly environment

Social events

Job summary

KODE Labs in Detroit, MI is seeking a Staff Data Engineer - Energy Data to build end-to-end data pipelines that transform raw energy and meter data into trusted datasets for calculations.

You'll design validation rules, implement cleaning and normalization, and collaborate with Energy, Integrations, Digital Twin and Data teams to productize validation tooling and scalable pipelines for multiple meters and buildings.

Qualifications

• Strong data engineering experience with IoT, meter, or high‑volume time‑series data.
• Strong SQL and Python skills with production-grade systems experience.
• Experience building data validation, cleaning, anomaly detection, and data‑quality pipelines.
• Understanding of time‑series challenges like gaps, duplicates, and stale data.
• Knowledge of energy concepts such as consumption, demand, meters, cost, and unit normalization.
• Experience building scalable data pipelines and modern data processing/storage tech.
• Strong problem‑solving and ability to translate data‑quality scenarios into reusable solutions.
• Ability to collaborate across data, software, product, and domain teams.

Responsibilities

• Define and implement energy meter validation rules across integrations, meter types, units, and building configurations.
• Build production-grade validation, cleaning, and normalization pipelines transforming raw meter data into trusted datasets.
• Validate incoming integration data for completeness, freshness, schema consistency, timestamps, and units.
• Use Digital Twin context to validate meter identity, units, hierarchy, and reporting frequency.
• Develop detection and handling logic for spikes, outliers, gaps, duplicates, and missing data.
• Build robust logic for cumulative-to-interval conversion including resets, rollovers, and negative deltas.
• Establish quality flags, confidence indicators, and lineage between raw, cleaned, and corrected values.
• Develop reusable validation patterns scalable across customers, buildings, and meter types.
• Build monitoring and observability around energy data quality to catch issues early.
• Partner with Energy, Integrations, Digital Twin, and Data teams to align upstream/downstream needs.
• Work with engineers to productize validation logic into reusable tooling, APIs, and workflows.
• Continuously improve validation and cleaning as new integrations and data scenarios emerge.

Skills

IoT data

SQL

Python

Data validation

Time-series data

Energy concepts

Data pipelines

Collaboration

Anomaly detection

Cleaning

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.