CORP - Data Engineer II

2 weeks ago

Lehi, UT, United States LanceSoft Full time
Job Description

Location: 3401 Ashton Blvd, Lehi, UT 84043
Hybrid Schedule (Onsite Monday, Tuesday, Wednesday, Thursday)

About This Role

Company is redefining home energy intelligence through data and AI to enable personalized comfort, energy efficiency, and demand-response optimization across millions of connected homes. We are seeking a Senior Software Engineer, Data to build and scale the pipelines and data products that transform raw device telemetry into reliable, actionable intelligence.

Data Pipeline Development: Design and maintain scalable ETL/ELT pipelines that process time-series signals from thermostats, weather, schedules, and device analytics.

Core Data Products: Build verified HVAC and Energy data tables (e.G., Run & Drift, Thermal Coefficients, Efficiency Drift) to serve as trusted sources for analytics, modeling, and automation.

Modernization & Quality: Refactor legacy Scala/Akka processes into PySpark or Databricks jobs, improving observability, testing, and CI/CD coverage for upstream feeds.

Integration & Streaming: Manage data sourced from Mongo-based telemetry, Kafka or Pub/Sub streams, and cloud storage (GCS) to ensure reliability and consistency.

Model Enablement: Collaborate with data scientists to generate and operationalize features supporting HVAC runtime prediction, anomaly detection, and DR optimization.

Documentation & Governance: Promote best practices for data lineage, schema documentation, and change control to prevent regressions in production systems.

Required Qualifications

3+ years of data engineering or backend data systems experience

Strong proficiency in Python, SQL, and distributed data frameworks (PySpark, Databricks)

Hands-on experience with GCP, Kafka/Pub-Sub, and data lake architecture

Ability to read and modernize legacy Scala/Akka codebases

Proven track record building production-grade pipelines that deliver analytics-ready datasets

Strong problem-solving skills in ambiguous, under-documented environments

Preferred Qualifications

Experience with ML platforms and feature engineering workflows (e.G. Vertex AI)

AI/ML application experience (LLMs, computer vision, energy forecasting models)

Background in IoT applications, protocols, and telemetry

Familiarity with specialized databases:

Graph databases (e.G. Neo4j)

Vector databases (e.G. Pinecone)

Experience with data orchestration tools (e.G. Airflow)

Background in Demand Response or home energy automation

Experience implementing data quality metrics, observability, and alerting

Track record of significant cost optimization or performance improvements in data systems

Meet Your Recruiter

Aman Tiwari

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