Senior Data Engineer

INFOTRON, LLC
Berkeley, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 100K

Job location

Berkeley, United States of America

Tech stack

Airflow
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Automation of Tests
Code Review
Continuous Integration
Data Infrastructure
ETL
Supervisory Control and Data Acquisition (SCADA)
Identity and Access Management
Python
PostgreSQL
Operational Databases
Query Optimization
Power BI
Standard Sql
OPC Unified Architecture
Tableau
Enterprise Data Management
Amazon Web Services (AWS)
GIT
Amazon Web Services (AWS)
Information Technology
Process Control Systems
Tools for Reporting
Software Version Control
Data Pipelines
Docker

Job description

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., * 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.

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
  • 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.

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