Sr. Data Engineer

Join to apply for the Sr. Data Engineer role at e-STORAGE

Join to apply for the Sr. Data Engineer role at e-STORAGE

At Canadian Solar, our vision is to make lives better by bringing electricity powered by the sun to millions of people worldwide. As a leading manufacturer of solar panels, inverters, and energy storage solutions, we've been an industry front-runner since our founding in 2001. Our commitment to sustainability is reflected in all parts of our organization as we navigate the complexities of a booming industry.

Throughout Canadian Solar's subsidiaries, e-Storage, Recurrent Energy, MSS and CSI Solar Co., we invest in our employees' growth. Our training programs and promotional opportunities ensure we all can continue to learn. We understand the importance of work-life balance and provide various flexible work options to support our employees' well-being. Join our team to "Make the Difference" by creating a lasting positive impact on the world and the communities where we operate.

The Sr. Data Engineer will play a critical role in designing, developing, and maintaining the data infrastructure that powers real-time analytics and operational intelligence across IQ-STORAGE’s energy storage and renewables platforms. Working in close collaboration with the Principal Data Architect and cross-functional engineering teams, this role focuses on building reliable, scalable, and high-performance data pipelines to support digital twins, asset monitoring, performance analytics, and reporting across utility-scale Battery Energy Storage Systems (BESS), and EMS platforms.

Responsibilities:

• Develop, deploy, and maintain scalable data pipelines for ingesting high-frequency time-series data from EMS, SCADA, BMS, inverters, and other field devices.
• Build and manage data infrastructure to support operational dashboards, fleet-wide analytics, alarms, and forecasting models.
• Implement robust ETL/ELT processes that transform raw telemetry and event data into curated, analytics-ready datasets.
• Ensure pipeline reliability, performance, and data integrity across real-time and historical data systems.
• Support integration of asset performance data with visualization tools like Grafana, Power BI, and Tableau for operations, reporting, and customer portals.
• Collaborate closely with the Principal Data Architect to translate data strategy and models into production-grade infrastructure and services.
• Work with cloud and hybrid environments to deliver resilient, cost-effective data solutions using platforms like AWS, Azure, or on-premise data lakes.
• Enable data ingestion from distributed energy assets via MQTT, OPC UA, REST APIs, and edge gateways.
• Establish automated validation, testing, and monitoring to ensure data quality and early detection of anomalies or sensor failures.
• Contribute to toolchain improvements and Dev Ops practices for versioning, deployment, and CI/CD.
• Collaborate across product, analytics, and engineering teams to deliver data services that support energy forecasting, asset optimization, and compliance reporting.

Required Qualifications and Skills:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field.
• 5+ years of experience in data engineering, with proven work in energy, renewables, industrial IoT, or real-time systems.
• Proficiency in Python and SQL; experience with Java or Scala is an asset.
• Experience handling time-series and event-based data at scale using platforms like Influx
  
  DB, and Timescale
  
  DB.
• Strong familiarity with SCADA, EMS, or BMS data structures, including Modbus, MQTT, and OPC protocols.
• Proven experience in data orchestration tools (e.g., Apache Airflow, Prefect) and real-time streaming platforms (e.g., Kafka, Spark Streaming).
• Experience working with cloud-native data solutions (e.g., AWS S3, Redshift, Kinesis, Azure Data Lake, GCP Big Query).
• Strong knowledge of data security, access control, and compliance standards in energy environments (e.g., NERC CIP, ISO 27001).
• Hands-on experience integrating with visualization and reporting platforms like Grafana, Power BI, or Tableau.
• Familiarity with infrastructure-as-code (e.g., Terraform), Docker, and…