Requirements: GCP (Vertex AI ideally), Python, DevOps
Pay: $150-180k DOE
Work Authorization: Must be eligible to work in the US without sponsorship now or in the future.
Responsibilities:
Assist with and/or lead development of data automation & data infrastructure projects.
Research, assess, and integrate new technologies for integration into existing workflows.
Maintain and improve data pipelines across big data modalities.
Extensively document processes and communicate goals clearly.
Provide support in an agile development team.
Qualifications:
5+ years of development experience working in a big data commercial setting, healthcare preferable.
Advanced knowledge of Python and experience deploying applications, pipelines, and databases in a cloud environment.
Advanced knowledge of SQL and experience with relational (BigQuery, Redshift, Postgres, MySQL, etc.) preferably in a cloud setting.
Experience working with sensitive data (HIPAA, GxP, etc.).
Experience with a production cloud environment (GCP preferred, AWS, Azure).
Strong familiarity with Unix/Linux environments.
Knowledge of Infrastructure-as-Code (IaC) tools like Terraform, GitHub Actions, Ansible, Kubernetes, etc.
Knowledge of serverless development and architecture like Cloud Run, Lambda functions, App Engine, etc.
Knowledge of stream processing (Pub/Sub, Apache Kafka) and highly scalable datastores like Cloud Storage and S3.
Experience working with cross functional teams in a dynamic startup environment.
Strong project management and organizational skills.
Bachelor's degree in computer-related field (computer science, etc.), minimum 5+ years working experience.
Understanding of Cloud Native Architecture would be a plus.
Bonus: experience working with big data in an academic setting.
Bonus: graduate level coursework and/or projects in big data.
Bonus: experience with common data models like OMOP and DICOM.
Bonus: experience with de-identification tools like Google DLP, Flywheel, etc.
All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. For unincorporated Los Angeles county, to the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.
