Junior Data Operations Development Engineer

Chancellor's Office Statement

Join our team at the California State University, Office of the Chancellor, and make a difference in providing access to higher education. We are currently seeking experienced candidates for the position of Junior Data Operations Development Engineer. The CSU Chancellor's Office, located on the waterfront adjacent to the Aquarium of the Pacific in downtown Long Beach, is the headquarters for the nation's largest and most diverse system of higher education. The CSU Chancellor's Office offers a premium benefit package that includes outstanding health, and dental plans; a fee waiver education program; membership in the California Public Employees Retirement System (PERS); and 15 paid holidays a year.

Salary

The anticipated salary hiring range is up to $73,692 per year, commensurate with qualifications and experience.

Work Arrangements

Flexibility to telecommute two days a week, with three days on-site at the main headquarters in Long Beach, California.

Premium Benefits

Comprehensive Health, Dental, and Vision Benefits

15 paid holidays a year

Tuition waiver education program (also applies to eligible family members)

Membership in the California Public Employees Retirement System (PERS)

More details here: Comprehensive Benefits Package

Classification

Systems Administrator I

Compensation Notice

CSU Classification Salary Range: $69,944 - $101,160 per year (Step 1 - Step 20); Step placement will be determined based on relevant qualifications and professional experience. Step placement upon appointment is not expected to exceed Step 4 ($73,692 per year). Future increases, including step advancement, are subject to contract negotiations.

Position Information

The California State University, Office of the Chancellor, is seeking a Junior Data Operations Development Engineer to perform entry-level professional duties supporting enterprise analytics platforms, data applications, and related infrastructure. The incumbent assists with software development, data processing, platform operations, automation, and access management activities following established standards and procedures.

This position is approved for telecommuting (two days telecommuting, three days in office (in-person)) with onsite work at the main headquarters located in Long Beach, California.

Responsibilities

Under the general direction of the Director, Data Engineering and AI/ ML Architectures, the Junior Data Operations Development Engineer will:

-Assist senior staff with development and maintenance of analytics-related software components, scripts, and data integrations.

-Support data ingestion, transformation, validation, and reporting workflows under established procedures.

-Assist with monitoring, maintenance, and troubleshooting of analytics platforms, cloud environments, and related network integrations.

-Support user account provisioning, de-provisioning, and periodic access audits for analytics systems.

-Assist with basic scripting and automation to improve operational efficiency and reliability.

-Perform unit testing and assist with application and data quality assurance.

-Document technical processes, system configurations, data flows, and user-facing materials.

-Respond to user support requests of limited scope and complexity, escalating issues as appropriate.

-Participate in agile development activities, training, shadowing, and cross-functional projects.

-Collaborate with data engineers, software developers, platform administrators, and business stakeholders.

Qualifications

This position requires:

-This position requires a BA/BS in Computer Science or a related field or an equivalent combination of education and experience.

-Bachelor’s degree in computer science, Data Analytics, Information Systems, Software Engineering, or a related field

-Equivalent education and/or applied experience may be substituted on a year-for-year basis.

-Foundational knowledge of programming concepts and basic software development principles.

-General knowledge of application development principles, concepts, frameworks, and tools, including the key phases of the Software Development Life Cycle (SDLC).

-Understanding of CI/CD (Continuous Integration/ Continuous Deployment).

-Basic understanding of data analytics concepts, databases, and data quality principles.

-Fami