Senior Data Engineer

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.

• 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.