Senior Data Engineer

INFOTRON; Berkeley (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

INFOTRON is seeking a Senior Data Engineer to own and evolve a production data platform that powers operational insights, reporting, and engineering decision-making. The role is based onsite in Berkeley, CA, with responsibility for end-to-end data pipelines and data infrastructure.

The ideal candidate has 6+ years of hands-on production data experience and strong skills in Python, SQL, PostgreSQL, AWS, Airflow, dbt, Docker, and CI/CD, plus experience with ETL/ELT pipelines and data modeling.

Qualifications

• 6+ years of hands-on experience building and supporting enterprise data platforms in production environments.
• Strong expertise in Python, SQL, PostgreSQL, AWS, 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.

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.

Skills

Python

SQL

PostgreSQL

AWS

Apache Airflow

dbt

Docker

Git & CI/CD

Education

Bachelor's degree (CS/Eng/Data Science)

Master's degree preferred

Tools

Power BI

Tableau

Amazon QuickSight

Ignition

SCADA

OPC UA

Industrial Historian

DAQ systems

Job description

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.