Geviti

Founding Senior Data Engineer

Geviti

full-time

Posted on:

Location Type: Remote

Location: Remote • Arizona • 🇺🇸 United States

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Salary

💰 $115,000 - $140,000 per year

Job Level

Senior

Tech Stack

AirflowAmazon RedshiftBigQueryCloudETLPythonSQL

About the role

  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLPythonETLELTdata modelingdata qualitydata governancedata ingestionmachine learningstatistical analysis
Soft skills
collaborationtroubleshootingproblem-solvingcommunicationorganizational skills