Data Engineer II

Title: Data Engineer II Location: Lehi, UT 84043 (hybrid: 4 days onsite / 1 day remote) Duration: Long Term Contract Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S. About This Role 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 Our benefits package includes: • Comprehensive medical benefits • Competitive pay • 401(k) retirement plan • …and much more! About INSPYR Solutions Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com. INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions’ Privacy Policy and INSPYR Solutions’ AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/. By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.