R
$152,000 – $186,000
Listed on Rula’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role involves building secure, scalable data infrastructure that enables AI applications to access and reason over sensitive healthcare data. It suits experienced data engineers who want to work on governance and analytics systems in a regulated environment with direct impact on product and operational decisions.
Our summary, not Rula’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- Apache Iceberg
- Apache Kafka
- LLMs (Large Language Models)
- Python
- Snowflake
- SPARK
- SQL
- Terraform
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What they ask for
Required
- 4+ years data engineering or software engineering experience
- Production data pipeline and system ownership
- Python and SQL proficiency
- Design and maintenance of scalable data pipelines and models
- Translate business requirements into technical designs
- Drive projects independently from design through production deployment
- Implement data security, governance, and access controls for sensitive data
Nice to have
- Experience with large language models, semantic layers, or model context protocols
- Cloud-based data platform experience (Snowflake, AWS, Spark, Kafka, Iceberg)
- Infrastructure-as-code tools like Terraform
- HIPAA or other regulated environment experience
- Design data architectures for LLM access to enterprise data
- Influence technical direction and mentor engineers