Job Title:

Senior Data Engineer Location:

Berkeley, CA (Onsite - 5 Days/Week)

Employment Type:

Contract/Full-Time About the Role We are seeking a Senior Data Engineer to join an innovative company in the industrial technology space. This is an opportunity to own and evolve a production data platform that powers operational insights, reporting, and engineering decision-making. Key Responsibilities Design, develop, and maintain scalable data pipelines that support production and engineering operations. Build reliable ETL/ELT workflows to ingest, process, and model operational and sensor-generated data. Collaborate with software, controls, and test engineering teams to deliver high-quality datasets for analytics and reporting. Establish and maintain engineering best practices, including version control, CI/CD, automated testing, documentation, and code reviews. Support and enhance cloud-based and on-premise data infrastructure. Evaluate technologies and recommend scalable architectural improvements for the data platform. Monitor production data workflows and troubleshoot performance or reliability issues. Required Qualifications Bachelor's degree in Computer Science, Engineering, Data Science, or a related discipline (Master's degree preferred). 6+ years of hands-on experience building and supporting enterprise data platforms in production environments.

Strong expertise in:

Python SQL PostgreSQL AWS (S3, RDS, IAM, VPC) Apache Airflow dbt Docker Git and CI/CD Proven experience developing and maintaining production ETL/ELT pipelines. Strong understanding of data modeling, query optimization, and engineering best practices. Preferred Qualifications Experience in one or more of the following industries: Manufacturing Industrial Automation Robotics Automotive Aerospace Semiconductor Energy or Clean Technology Experience working with: Ignition SCADA or Industrial Control Systems Industrial Historian platforms

OPC UA DAQ

systems Sensor, telemetry, or time-series data Experience with reporting tools such as Power BI, Tableau, or Amazon QuickSight is an advantage. What We're Looking For Strong analytical and problem-solving skills. Ability to make sound technical decisions and take ownership of complex data initiatives. Comfortable working in a fast-paced, collaborative engineering environment. Excellent communication skills with the ability to work across multiple technical teams.