Sr. Data Engineer
Octave · Remote · Virtual (Remote) · $142.6k–$176k
Posted by Octave on their careers site · View the original posting
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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, the company offers evidence-based individual, couples, and family therapy, while pioneering relationships with payers to make care more affordable through insurance. By raising the bar on how care is delivered and how providers are supported, we are building a sustainable system that values equity, affordability, and effectiveness.
Job Summary
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. You will have the opportunity to learn and contribute to a machine learning enablement and will bring high-quality, scalable, and ethical AI into real-world use.
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 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, wit
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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 12 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) : Growing your family? 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.
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.
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
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.