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Role Description

We’re looking for a Sr. Data Engineer with strong data platform experience to help evolve our modern data stack and contribute to the foundation of our emerging AI and ML platform. This role sits at the intersection of data engineering, platform architecture and machine learning enablement and will bring high-quality, scalable, and ethical AI into real-world use. You will partner closely with data scientists, analysts, and product managers to ensure our platform supports reliable data pipelines, scalable analytics, and production ready machine learning systems in addition to defining new architecture, best practices, and patterns for fellow engineers to inherit. The ideal candidate is both a systems thinker and a hands-on builder who thrives in evolving environments and is passionate about creating reliable data infrastructure that enables peers and partner teams to move faster with data.

• 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:
  • Source ingestion and preparation
  • Training and tuning
  • Experimentation and productionization
  • 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.

Qualifications

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

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 and paid parental leave benefits.

Physical Requirements

• Prolonged periods 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 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.

Compensation

Octave is committed to pay equity. To maintain our commitment to pay equity, Octave will follow Pay Transparency regulations on all open job postings. Current Pay Transparency laws require companies to include a position's salary or hourly wage range (not including bonuses or equity-based compensation) in any internal or external job posting. This requirement extends to job postings published by a third party at an employer's request.

The expected salary range for this role is set forth below and this range may be modified in the future:

• Geo 1 (all states, excluding those in Geo 2 or Geo 3, and D.C.): $142,600 - $153,100.
• Geo 2 (CO, HI, MD, RI): $156,900 - $168,400.
• Geo 3 (AK, CA, CT, MA, NJ, NY, WA): $164,000 - $176,000.

All Geos are eligible for equity in the form of stock options.

How We Use Technology in Hiring

As part of our hiring process, we may use technology tools, including AI-supported systems, to assist with reviewing applications or documenting interviews. These tools are designed to support our team, not replace human judgment, and final hiring decisions are always made by our team.

Application Instructions

Please complete the following application. Please note that the U.S. Equal Opportunity Employment Information questions below are used for the purposes of EEOC reporting and are optional to complete. Octave is unable to change these questions and we acknowledge that many of the U.S. Equal Opportunity Employment Information questions are not inclusive or affirming of all aspects of cultural identity. Octave is committed to an inclusive workplace environment, and this information will not inform how we approach hiring or employment.