

IDR, Inc.
Data Engineer (W2 Contract)
โญ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer (W2 Contract) in Lehi, Utah, for 6 months at a competitive pay rate. Requires 3+ years in data engineering, proficiency in Python, SQL, PySpark, and GCP, plus experience with data pipelines and legacy Scala modernization.
๐ - Country
United States
๐ฑ - Currency
$ USD
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๐ฐ - Day rate
560
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๐๏ธ - Date
November 27, 2025
๐ - Duration
Unknown
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๐๏ธ - Location
On-site
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๐ - Contract
W2 Contractor
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๐ - Security
Unknown
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๐ - Location detailed
Lehi, UT
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๐ง - Skills detailed
#Data Quality #GCP (Google Cloud Platform) #Data Framework #Scala #Automation #Kafka (Apache Kafka) #"ETL (Extract #Transform #Load)" #Data Lineage #Anomaly Detection #Databricks #Data Engineering #Data Pipeline #Spark (Apache Spark) #Data Lake #Datasets #PySpark #Observability #Data Science #IoT (Internet of Things) #Documentation #Python #SQL (Structured Query Language)
Role description
IDR is seeking a Data Engineer to join one of our top clients for an opportunity in Lehi, Utah. This role involves working within the energy and IoT industry, focusing on building scalable data pipelines and products that transform device telemetry into actionable insights. The position offers an exciting chance to work with cutting-edge technologies and contribute to innovative energy solutions.
Position Overview for the Data Engineer:
โข Design, develop, and maintain scalable ETL/ELT data pipelines for processing device telemetry data from thermostats, weather stations, and device analytics.
โข Build and verify core data tables for HVAC and energy analytics to support modeling, automation, and analytics.
โข Refactor legacy Scala/Akka codebases into PySpark or Databricks workflows, enhancing system observability and CI/CD processes.
โข Collaborate with data scientists to operationalize features for HVAC runtime prediction, anomaly detection, and demand response optimization.
โข Promote best practices for data lineage, schema documentation, and change management to ensure data quality and system reliability.
Requirements for the Data Engineer:
โข 3+ years of experience in data engineering or backend data systems.
โข Strong proficiency in Python, SQL, and distributed data frameworks such as PySpark and Databricks.
โข Hands-on experience with GCP, Kafka/Pub-Sub, and data lake architecture.
โข Ability to read and modernize legacy Scala/Akka codebases.
โข Proven track record of building production-grade pipelines that provide analytics-ready datasets.
What's in it for you?
โข Competitive compensation package
โข Full Benefits; Medical, Vision, Dental, and more!
โข Opportunity to get in with an industry leading organization.
Why IDR?
โข 25+ Years of Proven Industry Experience in 4 major markets
โข Employee Stock Ownership Program
โข Dedicated Engagement Manager who is committed to you and your success.
โข Medical, Dental, Vision, and Life Insurance
โข ClearlyRated's Best of Staffingยฎ Client and Talent Award winner 12 years in a row.
IDR is seeking a Data Engineer to join one of our top clients for an opportunity in Lehi, Utah. This role involves working within the energy and IoT industry, focusing on building scalable data pipelines and products that transform device telemetry into actionable insights. The position offers an exciting chance to work with cutting-edge technologies and contribute to innovative energy solutions.
Position Overview for the Data Engineer:
โข Design, develop, and maintain scalable ETL/ELT data pipelines for processing device telemetry data from thermostats, weather stations, and device analytics.
โข Build and verify core data tables for HVAC and energy analytics to support modeling, automation, and analytics.
โข Refactor legacy Scala/Akka codebases into PySpark or Databricks workflows, enhancing system observability and CI/CD processes.
โข Collaborate with data scientists to operationalize features for HVAC runtime prediction, anomaly detection, and demand response optimization.
โข Promote best practices for data lineage, schema documentation, and change management to ensure data quality and system reliability.
Requirements for the Data Engineer:
โข 3+ years of experience in data engineering or backend data systems.
โข Strong proficiency in Python, SQL, and distributed data frameworks such as PySpark and Databricks.
โข Hands-on experience with GCP, Kafka/Pub-Sub, and data lake architecture.
โข Ability to read and modernize legacy Scala/Akka codebases.
โข Proven track record of building production-grade pipelines that provide analytics-ready datasets.
What's in it for you?
โข Competitive compensation package
โข Full Benefits; Medical, Vision, Dental, and more!
โข Opportunity to get in with an industry leading organization.
Why IDR?
โข 25+ Years of Proven Industry Experience in 4 major markets
โข Employee Stock Ownership Program
โข Dedicated Engagement Manager who is committed to you and your success.
โข Medical, Dental, Vision, and Life Insurance
โข ClearlyRated's Best of Staffingยฎ Client and Talent Award winner 12 years in a row.






