Senior Data Engineer
INFOTRON
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.
$180k - $220k
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