Sr. Data Engineer

Role Overview

Sr. Data Engineer to help evolve Octave’s modern data stack and build the foundation for an emerging AI/ML platform. The role combines data engineering, platform architecture, and ML enablement to deliver reliable, scalable, and ethical AI in production.

Responsibilities

• Design, build, and maintain scalable data systems for ingestion, transformation, and storage, with a focus on testing and observability.
• Implement frameworks, tooling, and automation to safely increase development velocity.
• Build end-to-end AI/ML workflows:
  • source ingestion & preparation
  • training & tuning
  • experimentation & productionization
  • downstream integration (e.g., EHR modules, microservices, dashboards)
• Support iterative model development and production operations, including observability for accuracy, drift, bias, fairness, and reproducibility.
• Contribute to continuous improvement via knowledge-sharing and mentoring.
• Use AI tools as part of daily work to improve efficiency, quality, and decision-making.

Required Skills

• Strong SQL and Python with modern data engineering frameworks and infrastructure tooling.
• DataOps best practices: monitoring, pipeline automation, and CI/CD.
• Familiarity with modern ML/compute libraries/frameworks: Spark, TensorFlow, PyTorch, scikit-learn.
• Ability to build production APIs and services, including MCP servers exposing internal data/services to LLMs.
• Collaborative, dependable mindset; comfort asking questions and iterating.
• Comfort using AI tools day-to-day and willingness to improve processes continuously.

Nice-to-haves / Preferred

• Experience in healthcare, behavioral health, EHR systems, or other regulated industries.
• Experience with AWS/GCP, dbt, Airflow, Airbyte, and Redshift/BigQuery.

Education & Experience

• Bachelor’s degree (or equivalent) in Computer Science, Data Science, Statistics, Engineering, or related.
• 5+ years of experience in data engineering, platform engineering, or ML engineering.