Sr. Data Engineer Full Time

Duties & 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 productionisation, 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.
• Leverage AI tools as a core part of daily work (drafting, research, iteration) to improve efficiency, quality, and decision-making.

Required Skills:

• Proficiency in SQL and Python with strong familiarity with modern data engineering frameworks, infrastructure, and tooling.
• Proficiency with data ops best practices, monitoring, pipeline automation, and CI/CD.
• Knowledge of modern computing 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.
• Comfort using AI tools in day-to-day workflows, with a willingness to continuously rethink and improve how work gets done.
• Curiosity and openness to experimenting with new tools and approaches; prior experience with AI tools is a plus.

Nice to have:

Experience with 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).

Some knowledge of modern computing and ML frameworks/libraries (i.e., Spark, TensorFlow, PyTorch, scikit-learn).
Some experience with building production APIs and services, including MCP servers that expose internal data/services to LLMs.

Education & Experience: 

• 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.

Octave’s Company Values:
The values below drive our day-to-day operations.

• We’re human beings first. We operate with empathy and kindness – with our clients, with our collaborators, and with ourselves.
  People deserve better than the status quo. We’re willing to tackle the intractable problems, no matter how big, because someone should. We ask big questions, we craft big solutions, and we challenge ourselves and others to make it happen.
• No bystanders. No stars. No tourists. Each person has been selected to be here, and with that comes a responsibility to bring your expertise, share your ideas, and help make this company better.
• Partnership paves the path ahead. We don’t operate in a silo, internally or externally. To transform the system, we believe in working with others to create something bigger, better, and stronger.
• Quality is crucial at scale. Quality is core to our business, and we refuse to sacrifice it as we grow.
• Progress is a process. In the pursuit of progress, we iterate, reflect, learn, adjust – and always leave things better than we found them.
• There are people behind every data point. We recognize that numbers tell only one part of the story, and we also do the work to understand impacts at the individual level.

Physical Requirements:

• Prolonged periods of sitting at a desk and working on a computer.
• Must be able to frequently communicate with others through virtual meeting applications such as Zoom and Google Meet.
• Must be able to observe and communicate information on the company-provided laptop.
• Move up to 10 pounds on occasion.
• Must be eligible to work in the United States without sponsorship now or in the future.