Data engineer • long beach ca
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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.
-Familiarity with networking or cloud computing concepts.
-Ability to follow established procedures, coding standards, and security protocols.
-Strong analytical, organizational, and documentation skills.
-Effective written and verbal communication skills.
-Ability to work independently on routine assignments and collaboratively in a team environment.
-Ability to learn new tools and technologies in a structured, mentored setting.
-Ability to provide on-call support as assigned.
Preferred Qualifications
-Exposure to SQL and at least one general-purpose programming language (e.g., Python).
-Familiarity with cloud platforms (AWS preferred).
-Exposure to modern data platforms or analytics tools (e.g., Databricks, Snowflake, BI tools such Tableau, PowerBI, Quicksight).
-Experience with Linux or command-line environments.
-Interest in either software development, platform engineering, or data analytics.
