Senior Data Engineer

🕒 May 19

🇺🇸 United States – Remote

💵 $142.6k - $176k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Octave

WebsiteLinkedInAll Job Openings

201 - 500 employees

🧘 Wellness

⚕️ Healthcare Insurance

💰 $20M Series B on 2021-05

Wellness • Healthcare Insurance

Octave is a mental health care provider offering affordable and accessible therapy services tailored for individual, couples, and family needs. Their services include finding and matching clients with carefully vetted therapists who are experts in various specialty areas and languages. Octave emphasizes clinical excellence with a strong focus on evidence-based and outcome-driven therapy solutions, leading to faster and more effective improvements in mental health. With both in-person and virtual therapy options available, they make mental health care convenient and embrace a diverse network of therapists, including a significant percentage who identify as Black, Indigenous, or People of Color. Octave partners with Evernorth Behavioral Care to deliver high-quality care to Cigna Healthcare and Evernorth members, enhancing access and satisfaction for their clients.

📋 Description

• 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 productionization, 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.

🎯 Requirements

• 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. • 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. • Knowledge of modern compute and ML frameworks/libraries (i.e., Spark, TensorFlow, PyTorch, scikit-learn). • Ability to build production APIs and services, inclusive of 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. • 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.

🏖️ 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): 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. • 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.