[Hiring] Senior Data Engineer @Octave

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, 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.

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

Qualifications

• 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.
• Experience with GCP or AWS data engineering tools, big data frameworks.
• Experience with data modeling and medallion architecture.
• 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:
  • Source ingestion and preparation
  • Training and tuning
  • Experimentation and productionization
  • Downstream systems integration (EHR modules, micro-services, dashboards)
• Some knowledge of modern compute and ML frameworks/libraries (i.e., Spark, TensorFlow, PyTorch, scikit-learn).
• Some experience with building production APIs and services, inclusive of 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 in healthcare, behavioral health, EHR systems, and/or regulated industries.
• Specific expertise with: AWS/GCP, dbt, Airflow, Airbyte, Redshift/BigQuery.

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, Equity & Incentives

• Base Salary Range:
  • Geo 1 (All other states & 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
• Variable Compensation & Equity:
  • Performance Bonus: This role is not currently eligible for bonus incentives.
  • Equity Awards: This role is eligible to participate in Octave’s equity program via Stock Options, subject to the terms of the applicable Equity Incentive Plan.
• Remote Work Stipend: New full-time employees receive a $300 equipment reimbursement to support a home office setup.
• Internet & Phone Reimbursement: Full-time employees are eligible for a monthly reimbursement of up to $75 for internet and cell phone related expenses.

Comprehensive Benefits

• Health & Wellness: Choose what works best for you with one High Deductible Health Plan (HDHP) and two PPO medical plan options, plus comprehensive Dental and Vision coverage.
• Medical Support: Enjoy access to a company-sponsored membership with One Medical for convenient, modern care.
• Retirement: Plan for your future with a 401(k) that offers both traditional and Roth options.
• Paid Time Off: Time to recharge matters. Take advantage of a generous time off policy, up to 15 paid company holidays, and accrued sick time.
• Financial Protection: We’ve got you covered with company-paid Life, AD&D, and Disability insurance, plus optional extras like Pet, Legal, and Worksite plans (Critical Illness, Hospital Indemnity, and Accident).
• Parental Leave (Bonding Time): Full-time employees can take paid bonding leave after 6 months, whether it’s a new baby, adoption, or foster placement. Time off increases with tenure.
• Growth: Keep learning and leveling up with professional development reimbursement for role-related growth opportunities.

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.