Temporary Online Course Developer – RITM 145 Data Engineering, Pipelines, and Distributed Information Systems
About the position
Brandeis University’s Rabb School of Continuing Studies is seeking a skilled online course developer to design and build a new three credit asynchronous online course titled: RITM 145 Data Engineering, Pipelines, and Distributed Information Systems. This role is for an experienced academic and curriculum strategist to serve as an Online Course Developer within Brandeis Online’s graduate program. The developer will design and build asynchronous, instructor-facilitated online courses aligned with institutional learning outcomes, accreditation standards, and workforce relevance. This course will cover end-to-end data engineering: ingestion, transformation, pipeline orchestration, distributed storage, and scalable analytics foundations.
Responsibilities
• The development of an online asynchronous course entails the creation and/or selection of elements as outlined in the Brandeis Online Course Standards.
• Required components include a Brandeis-compliant syllabus, instructor-created materials informed by current industry knowledge, learning objects, and applied assignments and assessments aligned to course and program outcomes.
• The Developer is responsible for the substantive content and pedagogical strategies of the course and agrees to uphold Brandeis’s academic standards and online course development guidelines.
• Throughout the design process, the Developer will collaborate with Brandeis Online staff, adhere to technical requirements for LMS integration, and meet project milestones.
• Course drafts will be submitted at designated intervals for feedback, and final approval will be contingent upon a comprehensive design review by a Learning Designer, and Brandeis Online.
Requirements
• Master’s degree in Data Engineering, Computer Science, Information Systems, Data Science, or a closely related field.
• Minimum 3+ years of professional experience in data engineering, data architecture, distributed data systems, or large-scale data processing environments.
• Demonstrated expertise in data pipeline development, ETL/ELT workflows, distributed storage systems, and scalable data processing frameworks.
• Experience with programming languages and tools commonly used in data engineering (e.g., Python, SQL, Spark, Kafka, Airflow, or similar technologies).
• At least 1 year of teaching or training experience (preferably online/asynchronous).
• Minimum 1 year experience developing asynchronous online courses for adult learners in higher education.
• Proficiency with LMS platforms and digital authoring tools.
• Familiarity with analytical tools, collaborative platforms, and interdisciplinary teamwork.
• Strong communication, organization, and independent work skills.
• Familiarity with curriculum design, accreditation standards, and graduate-level rigor.
• Ability to translate interdisciplinary content into engaging, accessible learning pathways.
• Strong writing and editing skills to produce cohesive, learner-centered experiences.
Nice-to-haves
• Doctorate (PhD or DBA) in Data Engineering, Computer Science, Information Systems, Data Science, or related field.
• 5+ years of experience in enterprise data architecture, large-scale data platform engineering, or analytics infrastructure leadership.
• Professional experience as a Data Architect, Data Engineering Lead, Analytics Platform Engineer, or Distributed Systems Architect.
• Industry certifications such as Google Professional Data Engineer, AWS Data Analytics Specialty, Azure Data Engineer Associate, or equivalent.
• Experience teaching or developing graduate-level online courses.
• Knowledge of global learner personas and culturally responsive pedagogy.
• Familiarity with Moodle LMS and digital authoring tools (e.e., H5P).
• Familiarity with experiential learning models and employer-aligned curriculum.
Apply tot his job
Apply To this Job
Brandeis University’s Rabb School of Continuing Studies is seeking a skilled online course developer to design and build a new three credit asynchronous online course titled: RITM 145 Data Engineering, Pipelines, and Distributed Information Systems. This role is for an experienced academic and curriculum strategist to serve as an Online Course Developer within Brandeis Online’s graduate program. The developer will design and build asynchronous, instructor-facilitated online courses aligned with institutional learning outcomes, accreditation standards, and workforce relevance. This course will cover end-to-end data engineering: ingestion, transformation, pipeline orchestration, distributed storage, and scalable analytics foundations.
Responsibilities
• The development of an online asynchronous course entails the creation and/or selection of elements as outlined in the Brandeis Online Course Standards.
• Required components include a Brandeis-compliant syllabus, instructor-created materials informed by current industry knowledge, learning objects, and applied assignments and assessments aligned to course and program outcomes.
• The Developer is responsible for the substantive content and pedagogical strategies of the course and agrees to uphold Brandeis’s academic standards and online course development guidelines.
• Throughout the design process, the Developer will collaborate with Brandeis Online staff, adhere to technical requirements for LMS integration, and meet project milestones.
• Course drafts will be submitted at designated intervals for feedback, and final approval will be contingent upon a comprehensive design review by a Learning Designer, and Brandeis Online.
Requirements
• Master’s degree in Data Engineering, Computer Science, Information Systems, Data Science, or a closely related field.
• Minimum 3+ years of professional experience in data engineering, data architecture, distributed data systems, or large-scale data processing environments.
• Demonstrated expertise in data pipeline development, ETL/ELT workflows, distributed storage systems, and scalable data processing frameworks.
• Experience with programming languages and tools commonly used in data engineering (e.g., Python, SQL, Spark, Kafka, Airflow, or similar technologies).
• At least 1 year of teaching or training experience (preferably online/asynchronous).
• Minimum 1 year experience developing asynchronous online courses for adult learners in higher education.
• Proficiency with LMS platforms and digital authoring tools.
• Familiarity with analytical tools, collaborative platforms, and interdisciplinary teamwork.
• Strong communication, organization, and independent work skills.
• Familiarity with curriculum design, accreditation standards, and graduate-level rigor.
• Ability to translate interdisciplinary content into engaging, accessible learning pathways.
• Strong writing and editing skills to produce cohesive, learner-centered experiences.
Nice-to-haves
• Doctorate (PhD or DBA) in Data Engineering, Computer Science, Information Systems, Data Science, or related field.
• 5+ years of experience in enterprise data architecture, large-scale data platform engineering, or analytics infrastructure leadership.
• Professional experience as a Data Architect, Data Engineering Lead, Analytics Platform Engineer, or Distributed Systems Architect.
• Industry certifications such as Google Professional Data Engineer, AWS Data Analytics Specialty, Azure Data Engineer Associate, or equivalent.
• Experience teaching or developing graduate-level online courses.
• Knowledge of global learner personas and culturally responsive pedagogy.
• Familiarity with Moodle LMS and digital authoring tools (e.e., H5P).
• Familiarity with experiential learning models and employer-aligned curriculum.
Apply tot his job
Apply To this Job