Data Engineer # 4885

Job summary

Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care. We are a healthcare company, pioneering new technologies to advance early cancer detection.

Benefits

Qualifications

• ensure monitoring and reporting systems are audit-ready.
• These
• Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems, Engineering, Data Science, Life Sciences, or a related quantitative field.
• 5+ years of relevant experience as a data analyst, analytics engineer, or data engineer delivering production-grade datasets, dashboards, and reports.
• 3+ years of data modeling experience (dimensional/semantic).
• 2+ years building dashboards and reports in a modern BI platform (e.g., Tableau).
• Proficiency in SQL and at least one programming language (Python or R).
• Hands-on experience with AWS analytics services (e.g., Redshift, S3, Glue, Managed Airflow) and/or Snowflake.
• Experience working with SaaS application data sources (e.g., NetSuite, Salesforce, Workday, Coupa).
• Proven expertise in process analytics, SPC, statistical methods, and root-cause analysis (e.g., JMP, Minitab; SQL; Python/R).
• Demonstrated ability to collaborate with stakeholders and system users to deliver robust solutions and measurable results.
• Experience in regulated life sciences/biotech environments and familiarity with clinical laboratory operations.

Responsibilities

• Build, evolve, and support dashboards, reports, and real-time monitoring
• summarize the role’s primary
• and are not an exhaustive list.
• They may change at the company’s discretion.
• Required

Skills

Certifications

Degrees

Work schedule

Industry

Company size