Founding Senior Data Engineer
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Job Description
Founding Senior Data Engineer at Geviti architecting data infrastructure for health optimization platform. Building data pipelines and enabling advanced analytics and AI-driven insights.
Responsibilities:
- Architect, build, and maintain a scalable cloud-based data warehouse or lakehouse environment
- Design and implement robust ETL/ELT pipelines integrating data from clinical systems, internal tools, third-party APIs, and operational platforms
- Develop clean, well-structured data models optimized for analytics, reporting, and data science
- Implement data quality processes, validation layers, testing frameworks, and governance standards
- Create and maintain metadata documentation, data dictionaries, lineage tracking, and schema definitions
- Optimize warehouse performance, cost efficiency, and pipeline reliability
- Own end-to-end data ingestion processes ensuring stable, timely, and accurate data availability
- Establish monitoring, alerting, logging, and operational observability for all pipelines
- Troubleshoot and resolve data inconsistencies, ingestion failures, and system bottlenecks
- Collaborate with analytics and product teams to build source-of-truth datasets and KPI reporting layers
- Build pipelines and data structures that support machine learning training, testing, and deployment
Requirements:
- 5+ years of experience as a Data Engineer or similar data infrastructure-focused role
- Expert SQL proficiency, including schema design, warehouse modeling, and query optimization
- Strong Python experience for ETL/ELT development, automation, and data processing
- Proven experience architecting and maintaining cloud-based data warehouse/lakehouse environments (e.g., Snowflake, BigQuery, Redshift, Databricks)
- Deep knowledge of ETL/ELT frameworks, workflow orchestration (Airflow, dbt, Prefect, Dagster), and data quality methodologies
- Experience with API integrations, event-based data flows, and data modeling for analytics
- Familiarity with modern BI ecosystems and supporting high-quality reporting layers
- Deep statistical foundation and experience designing experiments
Benefits:
- Competitive compensation with opportunities for leadership and growth
- Work on meaningful problems that directly improve people’s health and longevity
- Join a mission-led, growth-oriented team shaping the future of healthcare
- Build impactful products at the intersection of health, data, and AI
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