Senior Air Quality Engineer: Emissions & Data Systems Leader

Bay Area Air Quality Management District; San Francisco (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

Bay Area Air Quality Management District is seeking a Senior Air Quality Engineer in the AIM Division. The role provides technical leadership to ensure accurate emissions reporting for facilities and complex sources, aligning with state standards.

The candidate will develop emission estimates, enhance data pipelines, and support modeling efforts. The ideal candidate has strong SQL and R programming skills, experience with emissions inventories, data management, and automation to reduce reporting

Qualifications

• Equivalent to graduation from a four year college or university with major coursework in environmental, chemical, mechanical or petroleum engineering or a closely related field.
• A directly related graduate degree may be desirable for some assignments and may be substituted for one year of the experience.
• Two years of air quality environmental engineering experience at a level equivalent to the District's class of Air Quality Engineer II.

Responsibilities

• Develop emissions estimates for complex area source categories and annual reporting for facilities.
• Design, review, and enhance SQL and R scripts to automate QA/QC and streamline data workflows.
• Integrate emissions estimates into modeling systems to support analysis.
• Lead data processing modernization and visualization efforts using Power BI and related tools.

Skills

Emissions data management

Data analysis

QA/QC automation

Power BI

Python

R

SQL

Education

Engineering degree in environmental/chemical/mechanical/petroleum or related field

Tools

GitHub

SQL Server

Power BI

Job description

Bay Area Air Quality Management District is seeking a Senior Air Quality Engineer in the AIM Division. The role provides technical leadership to ensure accurate emissions reporting for facilities and complex sources, aligning with state standards.

The candidate will develop emission estimates, enhance data pipelines, and support modeling efforts. The ideal candidate has strong SQL and R programming skills, experience with emissions inventories, data management, and automation to reduce reporting