[Remote] AI Data Engineer
Note: The job is a remote job and is open to candidates in USA. Ranger Technical Resources is a growing SaaS organization in the legal and professional services industry, and they are seeking a Senior AI Data Engineer to help architect and scale their first centralized AI-ready data platform. This highly hands-on role involves building scalable lakehouse infrastructure, developing data models, creating ingestion pipelines, and designing AI workflows to enhance product experiences.
Responsibilities
- Architect and expand a centralized AWS lakehouse platform
- Develop scalable Bronze, Silver, and Gold data models using dbt
- Build ingestion and CDC pipelines across SQL Server and SaaS platforms
- Design and maintain orchestration workflows using Airflow/MWAA
- Support Redshift, Athena, Glue, S3, and Iceberg-based analytics infrastructure
- Build embedding, retrieval, and vector search pipelines for structured and unstructured data
- Design RAG workflows that support AI-powered product experiences
- Implement governance, IAM, encryption, and tenant isolation best practices
- Improve observability, reliability, and scalability across data systems
- Partner with engineering and product leadership on AI platform strategy and architecture
- Help establish engineering standards and best practices within a growing AI ecosystem
- Contribute to future AI agents and MCP-style integrations
Skills
- BS in Computer Science, Information Technology, Engineering, or equivalent experience/field
- Hands-on experience building AWS-based data platforms in production environments
- Proven experience with dbt, SQL, and Python in modern lakehouse or analytics ecosystems
- Experience designing scalable data ingestion and CDC pipelines
- Exposure to production GenAI or RAG implementations
- Background working within SaaS, legal tech, fintech, or regulated environments is highly preferred
- AWS
- Dbt
- SQL
- Python
- Airflow
- MWAA
- Redshift
- Athena
- Glue
- S3
- CDC
- Iceberg
- RAG
- LangChain
- OpenSearch
- Embeddings
- Vector Databases
- Data Modeling
- Multi-tenant SaaS
- Lakehouse Architecture
- Background working within SaaS, legal tech, fintech, or regulated environments is highly preferred
Company Overview