Senior Data Engineer, AI/ML

Posted 28ds ago

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Job Description

Sr. Data Engineer helping evolve modern data stack for AI and ML at Octave. Collaborating with teams to ensure reliable data pipelines and scalable analytics.

Responsibilities:

  • Design, build, and maintain scalable systems for ingestion, transformation, and storage of data, with a focus on testing and observability.
  • Implement frameworks, tooling, and automation to safely increase development velocity.
  • Develop foundational end-to-end AI/ML workflows from (1) source ingestion and preparation, (2) training and tuning, (3) experimentation and productionization, and (4) downstream systems integration (EHR modules, micro-services, dashboards).
  • Support iterative model development and production operations and observability (accuracy, drift, bias, fairness, reproducibility).
  • Contribute to a culture of continuous improvement, knowledge-sharing and mentoring of peer engineers.

Requirements:

  • Bachelor’s degree (or equivalent) in Computer Science, Data Science, Statistics, Engineering or a related field.
  • 5+ years of experience in data engineering, platform engineering, or ML engineering.
  • Experience working with major cloud data platforms and tools:
  • Preferred experience: Healthcare, behavioral health, EHR systems, and/or regulated industries.
  • Specific expertise with: AWS/GCP, dbt, Airflow, Airbyte, Redshift/BigQuery.
  • Proficiency in SQL and Python
  • Proficiency with data ops best practices, monitoring, pipeline automation, and CI/CD.
  • Knowledge of modern compute and ML frameworks/libraries (i.e., Spark, TensorFlow, PyTorch, scikit-learn).
  • Ability to build production APIs and services, inclusive of MCP servers that expose internal data/services to LLMs.
  • A collaborative mindset, dependable execution, drive to reflect and improve, and humility to ask questions and learn.

Benefits:

  • company sponsored life insurance
  • disability and AD&D plans
  • Voluntary benefits such as 401k retirement
  • medical, dental, vision, FSA, HSA, dependent care and commuter/parking options
  • generous Paid Time Off
  • paid parental leave benefits.