Temporary Online Course Developer RITM 145 Data Engineering Pipelines and Distributed Information Systems

Location: Remote (U.S.-based only)
Division: Rabb School of Continuing Studies Brandeis University
Compensation: $3000 (Approx. 65 hours over 12 weeks)

Brandeis Universitys 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 Developerwithin Brandeis Onlines 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 theBrandeis 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 Brandeiss 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.

Qualifications:

• Masters 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.

Preferred Experience:

• 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.

Additional Details:

• Fully remote (U.S.-based applicants only; no visa sponsorship).

• 12-week development timeline (65 total hours).

• Compensation: $3000.00.

Pay Range Disclosure

The Universitys pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position the candidates work experience and education/training internal peer equity and applicable legal requirements.

Equal Opportunity Statement

Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race color ancestry religious creed gender identity and expression national or ethnic origin sex sexual orientation pregnancy age genetic information disability caste military or veteran status or any other category protected by law (also known as membership in a protected class).