Note: The job is a remote job and is open to candidates in USA. Octave is a behavioral health practice delivering evidence-based therapy through in-person and virtual clinics while improving access and affordability. The company is seeking a Senior Data Engineer to evolve its modern data stack, build scalable data infrastructure, and support AI/ML enablement. The role partners with data scientists, analysts, and product managers to develop reliable pipelines, analytics platforms, and end-to-end machine learning workflows.
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
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
- • 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
- • 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
- + 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)
- + Preferred experience: + Healthcare, behavioral health, EHR systems, and/or regulated industries. + Specific expertise with: AWS/GCP, dbt, AirflowAirbyte, Redshift/BigQuery
Benefits
- This role is eligible to participate in Octave’s equity program via Stock Options, subject to the terms of the applicable Equity Incentive Plan.
- New full-time employees receive a $300 equipment reimbursement to support a home office setup.
- Full-time employees are eligible for a monthly reimbursement of up to $75 for internet and cell phone related expenses.
- 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.
- Access to a company-sponsored membership with One Medical for convenient, modern care.
- A 401(k) that offers both traditional and Roth options.
- A generous time off policy, up to 15 paid company holidays, and accrued sick time.
- Company-paid Life, AD&D, and Disability insurance, plus optional extras like Pet, Legal, and Worksite plans (Critical Illness, Hospital Indemnity, and Accident).
- 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.
- Professional development reimbursement for role-related growth opportunities.
Company Overview