Qcells North America ยท 1 day ago
Senior Data Engineer, Industrial IoT
Santa Clara, CA
Full-time
Onsite
Senior Level, Lead/Staff
$125K/yr - $170K/yr
10+ years expQcells North America is a subsidiary of Hanwha Q CELLS, a leading photovoltaic manufacturer. They are seeking a Senior Data Engineer specializing in Industrial IoT to architect and build the data foundation for their next-generation data center energy management platform.
Renewables & Environment
Responsibilities
Design and implement end-to-end data pipelines ingesting millions of data points per minute from industrial IoT devices
Build semantic data models and metadata management systems that add business context to raw telemetry streams
Create data transformation frameworks that normalize heterogeneous device data into unified schemas
Develop automated data quality validation, anomaly detection, and data lineage tracking systems
Design and maintain a centralized device metadata repository and configuration management database
Implement streaming ETL pipelines using Apache Kafka, Spark Streaming, or cloud-native services
Build time-series data storage solutions optimized for both real-time analytics and historical analysis
Create data APIs and access patterns supporting both operational dashboards and ML model training
Partner with ML engineers to ensure data pipelines meet feature engineering requirements
Establish data governance practices including schema versioning, backwards compatibility, and change management
Collaborate with field engineers to understand device characteristics and improve data collection strategies
Qualification
Required
Bachelor's degree in Computer Science, Data Science, Information Systems, or related field
10+ years in data engineering with 5+ years focused on IoT, time-series, or streaming data platforms
Expert-level experience with streaming data technologies (Kafka, Pulsar, Kinesis, Event Hubs)
Strong expertise in time-series databases (InfluxDB, TimescaleDB, Azure Data Explorer, AWS Timestream)
Proficiency in Python or Scala for data pipeline development and SQL for complex data transformations
Experience with schema management, data catalogs, and metadata-driven architectures
Deep understanding of data modeling for analytical workloads including dimensional modeling and data vault
Hands-on experience with cloud data platforms (Azure Synapse, AWS Glue, Databricks, Snowflake)
Knowledge of data formats and serialization (Parquet, Avro, Protocol Buffers, JSON Schema)
Experience building real-time data quality monitoring and alerting systems
Travel may be required up to 10% for architecture reviews and stakeholder alignment
Preferred
Solar Industry experience (Renewable)
Experience with industrial protocols (OPC-UA, Modbus, MQTT) and IoT data standards
Knowledge of semantic web technologies (RDF, OWL, knowledge graphs, ontologies)
Familiarity with OpenTelemetry, Prometheus, or other observability data formats
Experience in energy, utilities, manufacturing, or critical infrastructure domains
Understanding of edge computing and distributed data processing architectures
Experience with data mesh or data fabric architectural patterns
Knowledge of ML feature stores and data preparation for AI/ML pipelines
Exposure to graph databases (Neo4j, Amazon Neptune, Azure Cosmos DB Gremlin)
Experience with regulatory compliance for data handling (SOC 2, NERC CIP)
Certifications in cloud data platforms (Azure Data Engineer, AWS Data Analytics)
Company
Qcells North America
Qcells is a renowned complete energy solutions provider in solar cell and module, energy storage, downstream project business and energy retail.
501-1000 employees
H1B Sponsorship
Qcells North America has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (11)
2024 (14)
2023 (8)
2022 (15)
2021 (4)
2020 (1)
Funding
Current Stage
Late StageLeadership Team
Danielle Merfeld
EVP and Global Chief Technology Officer
Taerim Kim
HR Generalist (Global CTO Org)
Company data provided by crunchbase