Senior Data Engineer, Octave

$142.6-176k

Salary varies depending on location. eligible for equity in the form of stock options

SQL

AWS

GCP

Python

Tensorflow

Redshift

Spark

Scikit-Learn

PyTorch

BigQuery

dbt

Senior and Expert level

Remote from US

Specialized therapy, coaching & workshops

Open for applications

Specialized therapy, coaching & workshops

501-1000 employees

HealthcareB2CPersonal healthMental healthWellbeing

Open for applications

$142.6-176k

Salary varies depending on location. eligible for equity in the form of stock options

SQL

AWS

GCP

Python

Tensorflow

Redshift

Spark

Scikit-Learn

PyTorch

BigQuery

dbt

Senior and Expert level

Remote from US

501-1000 employees

HealthcareB2CPersonal healthMental healthWellbeing

Company mission

To create a new standard for mental health care that's both accessible to people and sustainable for providers.

Job

Company

Role

Who you are

The ideal candidate is both a systems thinker and a hands-on builder who thrives in evolving environments and is passionate about creating reliable data infrastructure that enables peers and partner teams to move faster with data
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:
Preferred experience:
Healthcare, behavioral health, EHR systems, and/or regulated industries
Specific expertise with: AWS/GCP, dbt, AirflowAirbyte, Redshift/BigQuery
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
Physical Requirements:
Prolonged periods sitting at a desk and working on a computer
Must be able to frequently communicate with others through virtual meeting applications such as Zoom and Google Meet
Must be able to observe and communicate information on company provided laptop
Move up to 10 pounds on occasion
Must be eligible to work in the United States without sponsorship now or in the future

What the job involves

We’re looking for a Sr. Data Engineer with strong data platform experience to help evolve our modern data stack and contribute to the foundation of our emerging AI and ML platform
This role sits at the intersection of data engineering, platform architecture and machine learning enablement and will bring high-quality, scalable, and ethical AI into real-world use
You will partner closely with data scientists, analysts, and product managers to ensure our platform supports reliable data pipelines, scalable analytics, and production ready machine learning systems in addition to defining new architecture, best practices, and patterns for fellow engineers to inherit
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

Our take

With roughly 50 million adults suffering from mental illness in the United States, a new generation of startups are aiming to help people ease conditions like depression, grief, anxiety, and stress, by increasing access to mental health care.

Octave is one of these companies, classing itself as a national behavioral health practice. It offers therapy, coaching, and group classes both virtually and through in-person sessions, with virtual services available in a number of US states. And because of its strong relationship with insurance providers, 96% of Octave clients use insurance, making mental health care more accessible and affordable for a wider range of individuals.

In just a short time, Octave has experienced impressive growth, tripling the number of clients it serves by transitioning its in-person offerings online and launching an exclusive virtual therapy and coaching practice. This continued success is driven by strategic partnerships and an expanding network, with a clear focus on growth.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

90% employee growth in 12 months

Glassdoor (3.36)

Company

Funding (last 2 of 8 rounds)

Feb 2024

$5m

LATE VC

May 2023

$52m

SERIES C

Total funding: $125.3m

Company benefits

Company-sponsored life insurance
Disability and AD&D plans
401k Retirement
Medical, dental and vision
FSA & HSA
Dependent care and commuter/parking options
Generous PTO
Paid parental leave

Company HQ

Yerba Buena, San Francisco, CA

Leadership

Sandeep Acharya

(Founder & CEO)

Obtained an MBA from Harvard and then joined Bain as a Senior Associate Consultant. Eventually became VP of Bain Capital, and was also VP of Strategy at One Medical Group.

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