Octave - Sr. Data Engineer

Remote - USA$143k - $153k+ Equity3w ago

Remote Senior NA Mental Health Cloud Computing Data Engineer Zoom Python SQL AWS GCP

Requirements

• 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 • 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). • 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: • Preferred experience: • Healthcare, behavioral health, EHR systems, and/or regulated industries. • Specific expertise with: AWS/GCP, dbt, AirflowAirbyte, Redshift/BigQuery. • Octave's Company Values: • The below values drive our day-to-day operations. • We’re human beings first. We operate with empathy and kindness – with our clients, with our collaborators, and with ourselves. • We’re human beings first. • People deserve better than status quo. We’re willing to tackle the intractable problems, no matter how big, because someone should. We ask big questions, we craft big solutions, and we challenge ourselves and others to make it happen. • People deserve better than status quo. • No bystanders. No stars. No tourists. Each person has been selected to be here, and with that comes a responsibility to bring your expertise, share your ideas, and help make this company better. • No bystanders. No stars. No tourists. • Partnership paves the path ahead. We don’t operate in a silo, internally or externally. To transform the system, we believe in working with others to create something bigger, better, and stronger. • Partnership paves the path ahead. • Quality is crucial at scale. Quality is core to our business, and we refuse to sacrifice it as we grow. • Quality is crucial at scale. • Progress is a process. In the pursuit of progress, we iterate, reflect, learn, adjust – and always leave things better than we found them. • Progress is a process. • There are people behind every data point. We recognize that numbers tell only one part of the story, and we also do the work to understand impacts at the individual level. • There are people behind every data point. • 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.

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.

Benefits

• Base Salary Range Octave is committed to pay equity and transparency. Our salary ranges are determined by role, level, and location/ zone. Final pay within the posted range will be decided based on a combination of job-related factors, including education, training, experience, and market demands. • Geo 1 (All other states & D.C.): $142,600 - $153,100 • Geo 1 (All other states & D.C.): • Geo 2 (CO, HI, MD, RI): $156,900 - $168,400 • Geo 2 (CO, HI, MD, RI): • Geo 3 (AK, CA, CT, MA, NJ, NY, WA): $164,000 - $176,000 • Geo 3 (AK, CA, CT, MA, NJ, NY, WA): • Performance Bonus: This role is not currently eligible for bonus incentives. • Performance Bonus: • Equity Awards: This role is eligible to participate in Octave’s equity program via Stock Options, subject to the terms of the applicable Equity Incentive Plan. • Equity Awards: • Remote Work Stipend: New full-time employees receive a $300 equipment reimbursement to support a home office setup. • Remote Work Stipend: • Internet & Phone Reimbursement: Full-time employees are eligible for a monthly reimbursement of up to $75 for internet and cell phone related expenses. • Internet & Phone Reimbursement: • Octave is committed to pay equity and transparency. Octave will not discharge or in any other manner coerce, intimidate, threaten, discriminate or retaliate against employees or applicants because they have: (i) inquired about, discussed, compared, or disclosed their own wages, benefits, or other compensation, or the wages, benefits, or other compensation of another employee or applicant; (ii) asked Octave to provide a reason for the employee's wages or lack of opportunity for advancement; or (iii) aided or encouraged others in exercising their rights to discuss wages, compensation, or benefits, or to seek pay equity. • However, except as otherwise provided by law, employees who have access to the compensation information of other employees or applicants as part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) in compliance with the company's legal duty to furnish information under applicable law .