
Job Overview
Location
Virtual (Remote)
Job Type
Full-time
Category
Data Engineer
Date Posted
May 19, 2026
Full Job Description
đź“‹ Description
- • As a Sr. Data Engineer at Octave Bioscience Inc., you will play a pivotal role in shaping the future of our data infrastructure and AI/ML capabilities. This position is at the forefront of building a modern data stack and an emerging AI and Machine Learning platform, ensuring high-quality, scalable, and ethical AI solutions are brought into real-world application. You will be instrumental in defining the architecture, best practices, and patterns that will guide fellow engineers, contributing significantly to the company's mission of delivering high-quality, accessible behavioral health care.
- • Your day-to-day responsibilities will encompass the end-to-end lifecycle of data systems. You will design, build, and maintain robust, scalable systems for data ingestion, transformation, and storage, with a strong emphasis on implementing comprehensive testing and observability strategies to ensure reliability and performance. A key aspect of your role will involve developing and implementing frameworks, tooling, and automation designed to safely accelerate development velocity for the data team. You will be responsible for developing foundational AI/ML workflows, covering everything from source data ingestion and preparation to model training, tuning, experimentation, and seamless integration into production environments and downstream systems such as EHR modules, micro-services, and dashboards. Furthermore, you will actively support iterative model development and production operations, focusing on monitoring critical aspects like accuracy, drift, bias, fairness, and reproducibility to maintain the integrity and ethical application of our AI systems.
- • You will be an integral part of a collaborative team environment, contributing to a culture of continuous improvement, knowledge sharing, and mentorship for peer engineers. A unique aspect of this role is the expectation to leverage AI tools as a core component of your daily workflow. This includes utilizing AI for drafting content, conducting research, and iterating on solutions to enhance efficiency, improve the quality of your work, and inform decision-making processes. This proactive engagement with AI tools will not only boost your personal productivity but also contribute to the company's broader adoption and understanding of AI capabilities.
- • This role offers a unique opportunity to grow your expertise at the intersection of data engineering, platform architecture, and machine learning enablement. You will gain hands-on experience in building and scaling sophisticated data platforms and AI/ML systems within a rapidly evolving tech environment. By defining new architectural standards and best practices, you will leave a lasting impact on the company's data strategy. The role provides a platform to influence the direction of AI and data utilization in the behavioral health sector, contributing to more accessible and effective care. You will have the chance to mentor junior engineers and contribute to a culture of learning and innovation, solidifying your leadership and technical expertise.
- • The team at Octave Bioscience is dedicated to pioneering a new standard in behavioral health care, making it both high-quality and accessible. They operate with a strong set of company values, emphasizing empathy, kindness, and a commitment to challenging the status quo to solve complex problems. The culture fosters a sense of shared responsibility, where every team member is empowered to bring their expertise and ideas to the table. Collaboration is highly valued, with a belief that partnership is key to creating impactful solutions. Quality is paramount, especially as the company scales, and there's a continuous drive for progress through iteration, reflection, and learning. The company recognizes the human element behind every data point, ensuring that technology serves to improve individual lives.
- • This position is ideal for a systems thinker who is also a hands-on builder, passionate about creating reliable data infrastructure. You will thrive in an evolving environment where you can contribute to defining new architecture, best practices, and patterns for fellow engineers. The opportunity to bring high-quality, scalable, and ethical AI into real-world use within the behavioral health domain is a significant aspect of this role. You will be empowered to define and implement foundational AI/ML workflows, ensuring the data platform effectively supports reliable data pipelines, scalable analytics, and production-ready machine learning systems. Your work will directly contribute to Octave's mission of transforming behavioral health care through innovative technology and a human-centered approach.
- • You will be instrumental in supporting iterative model development and ensuring robust production operations and observability. This includes meticulous attention to monitoring accuracy, drift, bias, fairness, and reproducibility of ML models, which is critical for ethical AI deployment. By implementing frameworks, tooling, and automation, you will enhance the team's ability to safely increase development velocity, allowing for faster iteration and deployment of data-driven solutions. Your contributions will directly impact the company's ability to leverage data and AI to improve patient outcomes and operational efficiency, making a tangible difference in the lives of those seeking behavioral health support.
- • The role encourages a proactive approach to leveraging AI tools in daily tasks, from drafting communications to complex problem-solving and research. This integration of AI is expected to drive efficiency, elevate the quality of work, and enhance decision-making across the team. You will be at the forefront of adopting and refining these tools, contributing to Octave's innovative use of technology. This continuous learning and adaptation are key to staying ahead in the fast-paced field of data engineering and AI, ensuring that Octave remains a leader in its domain.
- • You will also contribute to the growth and development of the data engineering team through knowledge sharing and mentorship. By defining and championing best practices in data engineering, platform architecture, and ML operations, you will help elevate the team's collective capabilities. This leadership aspect, combined with hands-on technical work, makes this a comprehensive and rewarding role for an experienced data professional looking to make a significant impact.
- • The company's commitment to quality and progress means you'll be working in an environment that values continuous improvement and iterative development. You will have the opportunity to experiment with new tools and approaches, contributing to Octave's innovative spirit. The focus on ethical AI and the understanding that 'there are people behind every data point' underscores the meaningful impact of this role, aligning technical expertise with a strong social mission.
- • In summary, this Sr. Data Engineer role is a critical position that combines deep technical expertise in data engineering and ML enablement with a strategic vision for building scalable, reliable, and ethical data platforms. You will be a key player in driving Octave's data-driven initiatives, contributing to the advancement of behavioral health care through cutting-edge technology and a collaborative, human-centered approach.
Skills & Technologies
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About Octave Bioscience Inc.
Octave Bioscience develops precision-care solutions for multiple sclerosis and neurodegenerative diseases by integrating advanced imaging, multimodal biomarkers, and analytics to quantify disease activity and progression. Its platform provides clinicians and drug developers with objective data to optimize treatment decisions, accelerate clinical trials, and improve patient outcomes. The company combines proprietary imaging protocols, cloud-based analytics, and evidence-based algorithms to deliver standardized, reproducible measures of neuroinflammation and neurodegeneration, enabling earlier intervention and personalized therapy in chronic neurological disorders.
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