Senior Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $142.6k - $176k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Octave

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏥 Healthcare

🧘 Wellness

⚕️ Healthcare Insurance

💰 $20M Series B on 2021-05

Healthcare • 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 data ingestion, transformation, and storage, emphasizing testing and observability • Implement frameworks, tooling, and automation to safely increase development velocity • Develop foundational end-to-end AI/ML workflows covering source ingestion and preparation, training and tuning, experimentation and productionization, and downstream systems integration • Support iterative model development and production operations and observability, including accuracy, drift, bias, fairness, and reproducibility • Partner with data scientists, analysts, and product managers to support reliable data pipelines and scalable analytics • Define new architecture, best practices, and patterns for fellow engineers • Contribute to continuous improvement, knowledge-sharing, and peer engineer mentoring • Leverage AI tools in daily work to improve efficiency, quality, and decision-making

🎯 Requirements

• Proficiency in SQL and Python with strong familiarity with 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 and big data frameworks • Experience with data modeling and medallion architecture • Comfort using AI tools in day-to-day workflows • Curiosity and openness to experimenting with new tools and approaches • 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 • Must be eligible to work in the United States without sponsorship now or in the future • Preferred: experience in healthcare, behavioral health, EHR systems, and/or regulated industries • Preferred: specific expertise with AWS/GCP, dbt, Airflow/Airbyte, and Redshift/BigQuery • Nice to have: foundational end-to-end AI/ML workflows • Nice to have: knowledge of Spark, TensorFlow, PyTorch, or scikit-learn • Nice to have: experience building production APIs and services, including MCP servers

🏖️ Benefits

• Equity program via Stock Options • $300 equipment reimbursement for home office setup for new full-time employees • Monthly reimbursement of up to $75 for internet and cell phone expenses for full-time employees • One HDHP and two PPO medical plan options • Dental and Vision coverage • Company-sponsored One Medical membership • 401(k) with traditional and Roth options • Generous time off policy • Up to 15 paid company holidays • Accrued sick time • Company-paid Life, AD&D, and Disability insurance • Optional Pet, Legal, and Worksite plans, including Critical Illness, Hospital Indemnity, and Accident • Paid parental bonding leave after 6 months for full-time employees, increasing with tenure • Professional development reimbursement for role-related growth opportunities