Senior Data Engineer

INFOTRON • Berkeley, CA

9h • $90,000 - $100,000 • Onsite

About The Position

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.

Requirements

• 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
• Strong expertise in SQL
• Strong expertise in PostgreSQL
• Strong expertise in AWS (S3, RDS, IAM, VPC)
• Strong expertise in Apache Airflow
• Strong expertise in dbt
• Strong expertise in Docker
• Strong expertise in Git and CI/CD
• Proven experience developing and maintaining production ETL/ELT pipelines.
• Strong understanding of data modeling, query optimization, and engineering best practices.

Nice To Haves

• Experience in one or more of the following industries: Manufacturing, Industrial Automation, Robotics, Automotive, Aerospace, Semiconductor, Energy or Clean Technology
• Experience working with Ignition
• Experience working with SCADA or Industrial Control Systems
• Experience working with Industrial Historian platforms
• Experience working with OPC UA
• Experience working with DAQ systems
• Experience working with Sensor, telemetry, or time-series data
• Experience with reporting tools such as Power BI, Tableau, or Amazon QuickSight is an advantage.
• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior