On-Site Staff Data Engineer: Metrology & Analytics

bloomenergy; Fremont (CA); On-site; USD 112,000 - 162,000; Full time

Job summary

Bloom Energy seeks a Staff Data Engineer to design and maintain scalable data pipelines and analytics solutions for manufacturing and engineering teams. You will build curated datasets, support MES integrations, and develop automation tools across data collection systems in a highly collaborative environment.

You will leverage Python, SQL, AWS (S3, Glue, Redshift, QuickSight), and Ignition/Sepasoft to deliver reliable reporting and self-service analytics, while applying best practices like

Qualifications

• Expert proficiency in Python for software development, automation, and data processing.
• Expert proficiency in SQL and relational database design.
• Experience designing and supporting production data pipelines and ETL/ELT processes.
• Experience with AWS services such as S3, Glue, Redshift, and QuickSight.
• Experience with Ignition and Sepasoft MES platforms.
• Experience with source control tools such as Git and collaborative software development workflows.
• Demonstrated ability to independently lead the technical execution of complex, cross-functional projects from requirements through deployment.
• Bachelor's degree or higher in Computer Science, Data Science, Chemical Engineering, Electrical Engineering, Mechanical Engineering, or a related technical discipline.

Responsibilities

• Design, develop, and maintain scalable data pipelines, data models, and analytics solutions that support manufacturing and engineering teams.
• Build and maintain curated datasets and data products that enable reliable reporting, visualization, and self-service analytics.
• Develop software and automation tools in support of manufacturing operations, engineering workflows, and data collection systems.
• Develop and support MES and manufacturing software solutions, including Ignition Perspective screens, custom functionality, and system integrations, in collaboration with IT and external system integrators.
• Design and implement solutions for storing, visualizing, and analyzing metrology and image-based inspection data.
• Apply software engineering best practices including version control, testing, documentation, and code review.

Skills

Python

SQL

ETL/ELT

AWS

Ignition

Sepasoft MES

Git

Cross-functional leadership

Data processing

Education

Bachelor's degree in CS/Engineering

Tools

Ignition Perspective

dbt

AWS services

Job description

Bloom Energy seeks a Staff Data Engineer to design and maintain scalable data pipelines and analytics solutions for manufacturing and engineering teams. You will build curated datasets, support MES integrations, and develop automation tools across data collection systems in a highly collaborative environment.

You will leverage Python, SQL, AWS (S3, Glue, Redshift, QuickSight), and Ignition/Sepasoft to deliver reliable reporting and self-service analytics, while applying best practices like