Sr. Data Engineer, AI/ML

Octave

1d • $142,600 - $176,000

About The Position

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.

Requirements

• 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.
• Must be eligible to work in the United States without sponsorship now or in the future.

Nice To Haves

• Bachelor’s degree (or equivalent) in Computer Science, Data Science, Statistics, Engineering or a related field.
• Healthcare, behavioral health, EHR systems, and/or regulated industries.
• Specific expertise with: AWS/GCP, dbt, AirflowAirbyte, Redshift/BigQuery.

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.

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 are also available.
• Octave offers generous Paid Time Off as well as paid parental leave benefits.
• All Geos are eligible for equity in the form of stock options.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level