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.