• Design, build, and support high-quality data solutions and pipelines using modern engineering practices and tools. • Partner closely with product managers, software engineers, and data analysts to deliver scalable, reliable data capabilities that power digital products and business insights. • Accountable for the end-to-end lifecycle of data products, from design and implementation through production support, data quality, and performance against key metrics. • Integrate data from diverse sources including APIs, databases, event streams, and third-party systems. • Apply modern engineering practices, including version control, testing, CI/CD, and automated deployments. • Ensure data quality, integrity, and reliability through validation, monitoring, and observability tools. • Optimize data workflows for performance, cost efficiency, and operational resilience. • Document data flows, lineage, and technical components in support of transparency and maintainability.

• Architect, design, implement, and operate end-to-end data engineering solutions using Agile methodology. • Develop and manage robust data integrations with external vendors and organizations (including complex API integrations). • Collaborate closely with Data Analysts, Data Scientists, DBAs, and cross-functional teams to understand requirements and deliver high-impact data solutions. • Lead and take ownership of assigned technical projects in a fast-paced environment. • Drive continuous improvement in the quality, security, efficiency, and scalability of our data pipelines and infrastructure.

• We’re hiring a **Senior Data Engineer** to help shape the future of data-driven transformation for our clients. • Collaborate directly with clients to solve complex data challenges, delivering scalable solutions that drive real business value. • Design, develop, and maintain scalable data pipelines while collaborating with data analysts to understand their requirements. • Implement data integration solutions to support various business needs, ensuring data quality and integrity through rigorous testing and validation. • Optimise data systems for both performance and scalability.

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: $3,000 (Approx. 65 hours over 12 weeks) 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. Qualifications: - 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. 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 University's 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 candidate's 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").