IT Softwaree Engineer
Core
Design, build, and maintain cloud data pipelines and governance frameworks to support GenAI solutions for higher education and public-sector clients.
Role type
Senior Data Engineer (GenAI/Cloud)
Builds
Cloud data pipelines, ETL/ELT processes, and data stores for analytics and RAG
Domain
Cloud Data Engineering, Generative AI, Higher Education, Public Sector
Deliverable
production ML models
Required skills
Cloud data pipeline development, ETL/ELT design, Data governance and classification, SQL, Python, Data modeling, Cloud security and access control, Data quality assessment
Preferred skills
Google Cloud Platform expertise, RAG and agentic AI data patterns, Legacy system integration, Data privacy compliance (FERPA)
Technologies
Google Cloud (BigQuery, Dataflow, Cloud Composer, Cloud DLP, Dataplex), Apache Airflow, Snowflake, AWS, Azure, PostgreSQL
Responsibilities
Design and maintain cloud data pipelines for GenAI use cases; Build batch ETL/ELT processes integrating source systems; Monitor pipeline reliability, performance, and cost; Classify and tag sensitive data using governance tools; Define and enforce data access and security policies; Assess data quality and readiness for AI; Design data models and schemas; Collaborate with client teams on data extraction approaches; Maintain technical documentation; Execute delivery backlog and manage risks; Partner with cross-functional teams on data infrastructure.
Seniority
Senior, hands-on IC