Data Ops Engineer

Summary

Join Deep 6 AI, a fast-growing tech startup in Los Angeles, as a Data Ops Engineer. You will oversee the end-to-end execution of our data pipeline, build proactive and reactive measures for pipeline health, enhance the pipeline with core data engineering principles, and ensure data quality metrics are captured. You will collaborate with cross-functional teams and contribute to discussions on data sufficiency. This role requires proven experience operating data pipelines, proficiency in JVM languages (especially Kotlin), and experience with cloud-based platforms (especially AWS). Deep 6 AI offers a collaborative and inclusive culture, remote work options, and competitive benefits including health insurance, paid time off, and a 401k plan.

Requirements

• Proven success operating data pipelines at a similarly sized or larger company
• Proficiency in JVM languages, especially Kotlin
• Experience with cloud-based platforms, especially AWS
• A positive, collaborative, can-do attitude and a strong sense of ownership

Responsibilities

• Oversee the end-to-end execution of the Deep 6 AI data pipeline, identifying issues quickly and recommending solutions rapidly
• Build proactive and reactive measures for supporting pipeline health, including monitoring and alerting, dashboarding/visualization, observability, and telemetry
• Enhance the data pipeline with established data engineering core principles (e.g., observability, resilience, scalability)
• Ensure data metrics for sufficiency and quality are captured and have visibility to all stakeholders
• Build strong relationships with the cross-functional team of execution and stakeholders
• Contribute to the conversation of data sufficiency across all clients to support Deep 6 AI’s growing use cases, leveraging clinical, socio-demographic, performance, and other relevant data
• Lead or support special projects, as needed

Preferred Qualifications

• Experience with search frameworks, such as Elasticsearch or OpenSearch
• Proficiency in Python
• Familiarity with clinical data concepts, the healthcare domain, concepts and language
• Prior remote working experience
• Prior startup experience
• Worked in the healthcare domain

Benefits

• Competitive salary
• Generous PTO plan which includes sick and vacation days
• Employer-paid medical, dental, vision, life insurance and long-term disability coverage
• 401k plan
• Remote work