Senior AI Data Engineer
Cortica
- Location
- California · Texas · North Carolina +25
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 160,000–200,000/yr
Posted 3mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Gather, clarify, and document project requirements
- Translate requirements into architected data solutions
- Own testing end-to-end
- Deploy solutions to production and monitor post-deployment health
- Run parallel AI coding sessions
- Build and maintain context files for data projects
- Design verification loops
- Build MCP or equivalent integrations
- Design and build complex, reliable data pipelines
- Implement and evolve data models
- Optimize pipeline performance, manage data quality, and perform root-cause analysis
- Develop and maintain orchestration workflows
- Continuously evolve the data schema
- Build and support Power BI data models and reports
- Work with data analysts and data scientists to build reusable components
- Deliver data products that drive clinical care decisions
- Build lightweight internal data applications and tooling
- Design for agentic workflows
- Integrate with Salesforce Health Cloud and other platforms
- Ensure data security and HIPAA compliance
- Document decisions, tradeoffs, and architecture clearly
- Collaborate across IT, finance, clinical operations, and data science
Requirements
- 5+ years of hands-on data engineering experience
- Building and operating production data pipelines
- Expert-level Python skills for ETL, pipeline orchestration, and automation
- Deep SQL proficiency
- Query optimization
- Data modeling
- Stored procedures
- 2+ years' experience working with AI first development workflows
- 4+ years' experience with AWS (S3, Glue, Lambda, Redshift), and/or Azure big data services
- 1+ year of experience with Snowflake
- 2+ years of experience with orchestration frameworks
- 2+ years of Salesforce experience with Apex and configurations
- Experienced with Kimball dimensional modeling
- Built star schemas and conformed dimensions in production
- Power BI (or equivalent BI tool) experience
- Data model design and report development
- API integration experience
- REST
- GraphQL
- Event streaming (Kafka, Kinesis, or similar)
- Application development literacy
- Comfortable building lightweight web tooling (Python/Flask, Node, or similar)
Skills
- Python
- SQL
- AWS
- S3
- Glue
- Lambda
- Redshift
- Azure
- Snowflake
- Salesforce
- Apex
- Power BI
- REST
- GraphQL
- Kafka
- Kinesis
- Flask
- Node
- dbt
- Amazon Athena
- MySql
- Kimball methodology
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