Data Engineering Analyst
Core
Develop, maintain, and optimize cloud-based data pipelines and AI solutions to enable business insights and automation.
Role type
Mid-level data engineering analyst (cloud-native)
Builds
Scalable, secure, and reliable cloud data platforms and AI capabilities
Domain
Healthcare/Insurance + Cloud Data Engineering
Deliverable
production ML models | product features
Required skills
Cloud-native data solutions, AWS services (S3, Lambda, IAM, API Gateway), Infrastructure-as-Code (Terraform/CloudFormation), Data engineering (AWS Glue, Spark, Databricks), SQL, Python, Source control, CI/CD
Preferred skills
GenAI platforms (AWS Bedrock, Azure AI), Prompt engineering, Agile methodologies, Jira, Data governance, Security best practices, Healthcare/insurance domain experience
Technologies
AWS, Terraform, CloudFormation, AWS Glue, Spark, Databricks, GitHub Actions, Jenkins, GitLab CI, AWS Bedrock, Azure AI
Responsibilities
Develop and enhance cloud-based data solutions and pipelines; Implement AI and data platform capabilities under senior guidance; Design and optimize ETL/ELT workflows; Troubleshoot and improve platform reliability; Collaborate with product owners and stakeholders to deliver solutions; Participate in code reviews, testing, and deployment processes
Seniority
Mid-level, hands-on IC