Sr. Data Engineer at Octave

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, 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, 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 (1) source ingestion and preparation, (2) training and tuning, (3) experimentation and productionization, and (4) 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: Healthcare, behavioral health, EHR systems, and/or regulated industries. Specific expertise with: AWS/GCP, dbt, AirflowAirbyte, Redshift/BigQuery. Octave's Company Values: The below values drive our day-to-day operations. We’re human beings first. We operate with empathy and kindness – with our clients, with our collaborators, and with ourselves. People deserve better than status quo. We’re willing to tackle the intractable problems, no matter how big, because someone should. We ask big questions, we craft big solutions, and we challenge ourselves and others to make it happen. No bystanders. No stars. No tourists. Each person has been selected to be here, and with that comes a responsibility to bring your expertise, share your ideas, and help make this company better. Partnership paves the path ahead. We don’t operate in a silo, internally or externally. To transform the system, we believe in working with others to create something bigger, better, and stronger. Quality is crucial at scale. Quality is core to our business, and we refuse to sacrifice it as we grow. Progress is a process. In the pursuit of progress, we iterate, reflect, learn, adjust – and always leave things better than we found them. There are people behind every data point. We recognize that numbers tell only one part of the story, and we also do the work to understand impacts at the individual level. 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 Octave is committed to pay equity and transparency. Our salary ranges are determined by role, level, and location/ zone. Final pay within the posted range will be decided based on a combination of job-related factors, including education, training, experience, and market demands. 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. Octave is committed to pay equity and transparency. Octave will not discharge or in any other manner coerce, intimidate, threaten, discriminate or retaliate against employees or applicants because they have: (i) inquired about, discussed, compared, or disclosed their own wages, benefits, or other compensation, or the wages, benefits, or other compensation of another employee or applicant; (ii) asked Octave to provide a reason for the employee's wages or lack of opportunity for advancement; or (iii) aided or encouraged others in exercising their rights to discuss wages, compensation, or benefits, or to seek pay equity. However, except as otherwise provided by law, employees who have access to the compensation information of other employees or applicants as part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) in compliance with the company's legal duty to furnish information under applicable law . Comprehensive Benefits: At Octave, we believe in supporting the "human being first". Here’s a snapshot of the benefits available to eligible employees: 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 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.

Requirements

Must-haves

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.
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.
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
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:
The below values drive our day-to-day operations.
We’re human beings first. We operate with empathy and kindness – with our clients, with our collaborators, and with ourselves.
No bystanders. No stars. No tourists. Each person has been selected to be here, and with that comes a responsibility to bring your expertise, share your ideas, and help make this company better.
Partnership paves the path ahead. We don’t operate in a silo, internally or externally. To transform the system, we believe in working with others to create something bigger, better, and stronger.

Nice-to-haves

Curiosity and openness to experimenting with new tools and approaches; prior experience with AI tools is a plus
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.
Healthcare, behavioral health, EHR systems, and/or regulated industries.
Specific expertise with: AWS/GCP, dbt, AirflowAirbyte, Redshift/BigQuery.
Performance Bonus: This role is not currently eligible for bonus incentives.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off

Parental Leave

Wellness

Professional Development