Data Engineer I (AWS, Python, GenAI)
Core
Design, build, and deploy data solutions to contextualize and provide easy access to data for the entire enterprise, supporting Artificial Intelligence, Machine Learning, and business intelligence.
Role type
Data Engineer I (AWS, Python, GenAI)
Builds
Data pipelines and solutions that capture, explore, transform, and utilize data for AI/ML and BI.
Domain
Insurance / Data Engineering / Generative AI
Deliverable
production ML models | infrastructure
Required skills
Python, PySpark, AWS (S3, IAM, Lambda, Secret Manager, EC2), ETL, data governance, data security, data quality, software engineering practices, debugging, generative AI applications, large language models
Preferred skills
Cloud platform services (Azure, Google), intermediate leadership skills, domain expertise in immediate systems
Technologies
AWS, Python, PySpark, S3, IAM, Lambda, Secret Manager, EC2
Responsibilities
Build and operationalize complex data solutions; Design data solutions; Analyze sources to determine value and recommend data inclusion; Incorporate data governance, security, and quality; Collaborate with teams to support delivery and educate end users; Perform data and system analysis for defects and incidents; Test data movement, transformation code, and data components.
Seniority
Individual Contributor (IC), 6+ years total experience (3+ in Data Engineering)