Sr. Data Engineer

Octave; San Francisco (CA); On-site; USD 142,600 - 176,000; Full time

Benefits offered by this job

Equity in the form of stock options

Medical, dental, vision benefits

Generous paid time off

Paid parental leave

Job summary

Octave is hiring a Sr. Data Engineer in San Francisco to evolve their data platform for AI and ML applications. The role requires extensive experience in data engineering and familiarity with cloud platforms like AWS and GCP. Responsibilities include designing scalable systems and collaborating with data scientists to ensure reliable data pipelines. The compensation ranges from $142,600 to $176,000, depending on location, and the role offers benefits such as generous paid time off and stock options.

Qualifications

• 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 familiarity towards modern data engineering frameworks.

Responsibilities

• Design, build, and maintain scalable systems for data ingestion and storage.
• Develop end-to-end AI/ML workflows from source ingestion to production.
• Support model development and operations for accuracy and fairness.

Skills

Data Engineering

Machine Learning

AWS/GCP

SQL

Python

Automation

Education

Bachelor's degree in Computer Science, Data Science, Statistics, Engineering or related field

Tools

Airflow/Airbyte

Redshift/BigQuery

Spark

TensorFlow

PyTorch

scikit-learn

Job description

About the Company:
Octave is a modern behavioral health practice creating a new standard for care delivery that’s both high-quality and accessible. With in-person and virtual clinics in multiple states, Octave offers evidence-based individual, couples, and family therapy, while pioneering relationships with payers to make care more affordable through insurance. Octave values equity, affordability, and effectiveness.

About the Role

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.

• Design, build, and maintain scalable systems independently 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 to training, tuning, experimentation, productionization and downstream 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.

Preferred 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: Healthcare, behavioral health, EHR systems, and/or regulated industries; expertise with AWS/GCP, dbt, Airflow/Airbyte, Redshift/BigQuery.
• Proficiency in SQL and Python with 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 such as Spark, TensorFlow, PyTorch and scikit-learn.
• Ability to build production APIs and services, including 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.

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 a 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 will provide a salary range that depends on the geographic location (Geo 1: $142,600 - $153,100; Geo 2: $156,900 - $168,400; Geo 3: $164,000 - $176,000). All Geos are eligible for equity in the form of stock options. This position is also eligible for company-sponsored life insurance, disability and AD&D plans, 401(k) retirement, medical, dental, vision, FSA, HSA, dependent care and commuter/parking options.

Benefits

Octave offers generous paid time off and paid parental leave benefits.

Equal Opportunity

Octave is an equal opportunity employer and welcomes applicants from all backgrounds. Octave is committed to an inclusive workplace environment. All discrimination or harassment is prohibited and will not be tolerated.