Senior Data Engineer

🕒 Maio 19

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $142.600 - $176.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

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Octave

SiteLinkedInTodas as Vagas

201 - 500 funcionários

🧘 Bem-estar

⚕️ Seguro de Saúde

💰 $20.000.000 Series B em 2021-05

Wellness • Healthcare Insurance

A Octave é uma provedora de cuidados em saúde mental que oferece serviços de terapia acessíveis e personalizados para as necessidades de indivíduos, casais e famílias. Seus serviços incluem encontrar e combinar clientes com terapeutas cuidadosamente selecionados, especialistas em várias áreas de especialidade e idiomas. A Octave enfatiza a excelência clínica com um forte foco em soluções de terapia baseadas em evidências e orientadas para resultados, levando a melhorias mais rápidas e eficazes na saúde mental. Com opções de terapia presencial e virtual disponíveis, facilitam o acesso aos cuidados em saúde mental e abraçam uma rede diversificada de terapeutas, incluindo uma porcentagem significativa que se identifica como negros, indígenas ou pessoas de cor. A Octave faz parceria com a Evernorth Behavioral Care para oferecer cuidados de alta qualidade aos membros da Cigna Healthcare e Evernorth, melhorando o acesso e a satisfação de seus clientes.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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.