- Remote
- Remote
- Full-time
- $100K–$115K per year
Design, build, and optimize scalable cloud-native data engineering solutions that enable advanced AI-driven applications and business outcomes.
Compensation
The annual salary for this position is between $ 100,000 - $ 115,000 depending on experience and other qualifications of the successful candidate.
Responsibilities
- Design, develop, and support scalable data pipelines, data integrations, and processing solutions using modern cloud-native technologies.
- Build production-grade Python applications, scripts, and AWS Lambda functions that integrate with enterprise platforms, APIs, and AWS services.
- Develop and enhance data platforms leveraging technologies such as AWS Glue, AWS DMS, Apache Kafka, Apache Airflow, and Snowflake.
- Translate business and technical requirements into engineering specifications, technical designs, and measurable acceptance criteria.
- Review, validate, test, debug, and optimize AI-generated code while applying engineering best practices throughout the software development lifecycle.
Requirements
- Nice to have: Kiro
- Nice to have: Claude Code
- Nice to have: Model Context Protocol (MCP)
- Nice to have: agentic AI development frameworks
- Nice to have: Strands Agents SDK