Senior AI Data Engineer
New
C
CorticaHealthcare
Remote in CA, TX, NC, WA, ID, NV, AZ, CO, KS, AR, LA, AL, GA, FL, SC, TN, VA, MD, NJ, DE, IL, WI, MI, OH, MA, PA, NH, CTFull-TimeSenior
Salary160,000 - 200,000 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 5+ years
- Required Skills
- AWSPythonSQLETLMicrosoft Power BISalesforceSnowflakeAzureData modeling
Requirements
- 5+ years of hands-on data engineering experience
- Expert-level Python skills
- Deep SQL proficiency (query optimization, data modeling, stored procedures)
- 2+ years experience with AI-first development workflows
- 4+ years experience with AWS (S3, Glue, Lambda, Redshift) 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
- Experience with Kimball dimensional modeling
- Power BI or equivalent BI tool experience
- API integration experience (REST, GraphQL, event streaming)
- Application development literacy
Responsibilities
- Engage stakeholders directly to gather, clarify, and document project requirements.
- Translate requirements into architected data solutions: choose the right storage, pipeline, modeling, and delivery approach.
- Own testing end-to-end — unit tests, data quality checks, reconciliation, and integration tests.
- Deploy solutions to production and monitor post-deployment health.
- Run parallel AI coding sessions and build context files for data projects.
- Build MCP integrations to connect AI agents to data sources.
- Design and build data pipelines ingesting from AWS, Azure, Salesforce, and APIs into AWS Data Lake and Snowflake.
- Implement and evolve data models using Kimball methodology.
- Build and support Power BI data models and reports.
- Ensure data security and HIPAA compliance.
View Full Description & ApplyYou'll be redirected to the employer's site
