Key skills
Data engineeringMachine learningCloud platformsSQLPythonData ops best practicesMonitoringPipeline automationCI/CDEHR systemsContinuous improvementEmpathyHumilityAIMLPyTorchTensorFlowscikit-learnData EngineeringBigQueryRedshiftSparkAirflowdbtAWSGCPMentoring
About this role
Octave is a modern behavioral health practice creating a new standard for care delivery that’s both high-quality and accessible. They are seeking a Sr. Data Engineer with strong data platform experience to help evolve their modern data stack and contribute to the foundation of their emerging AI and ML platform.
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
- Proficiency in SQL and Python with strong familiarity towards modern data engineering frameworks, infrastructure, and tooling
- 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
- Healthcare, behavioral health, EHR systems, and/or regulated industries
- Specific expertise with: AWS/GCP, dbt, Airflow, Airbyte, Redshift/BigQuery