Data Engineer
Core
Design, build, and maintain scalable ETL/ELT pipelines and AI-powered data solutions to support critical business processes and decision-making.
Role type
Senior Data Engineer (AI/ML focus)
Builds
End-to-end data pipelines, data products, and AI workflows
Domain
Pharma/Biotech, Data Engineering, AI/ML (via careerplan.io/jobs/67-00A-F7-96B-data-engineer)
Deliverable
production ML models
Required skills
Advanced SQL, Data Warehouse architecture, AWS, Snowflake (including Snowflake Cortex), DBT, ETL/ELT tools, Python, Generative AI/LLM integration
Preferred skills
RAG, AI agent architectures, Amazon Bedrock, semantic layers, Apache NiFi
Responsibilities
Design and optimize complex SQL queries and data transformation processes; Integrate data from internal and external systems including APIs and third-party platforms; Own data quality, monitoring, reliability, and governance processes; Investigate and resolve data-related issues; Design, develop, and maintain AI-powered data solutions; Build and implement monitoring capabilities using modern AI capabilities; Partner with business teams to identify opportunities for applying AI and LLM-based solutions; Develop and operationalize AI workflows and data products from proof-of-concept through production deployment
Seniority
Senior, hands-on IC
