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Sr. Data Engineer
- New York, New York, United States
- New York, New York, United States
Über
About the Role 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. 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.
Responsibilities
Design, build, and maintain scalable systems independently 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.
Preferred Qualifications
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.
Octave's Company Values
We’re human beings first.
We operate with empathy and kindness – with our clients, with our collaborators, and with ourselves.
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.
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.
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.
Quality is crucial at scale.
Quality is core to our business, and we refuse to sacrifice it as we grow.
Progress is a process.
In the pursuit of progress, we iterate, reflect, learn, adjust – and always leave things better than we found them.
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.
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.
Compensation Octave is committed to pay equity. To maintain our commitment to pay equity, Octave will follow Pay Transparency regulations on all open job postings. Current Pay Transparency laws require companies to include a position's salary or hourly wage range (not including bonuses or equity-based compensation) in any internal or external job posting. This requirement extends to job postings published by a third party at an employer's request.
Octave will not discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Employees who have access to the compensation information of other employees or applicants as a 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) consistent with Octave’s legal duty to furnish information.
Starting pay for qualified applicants will depend on a combination of job‑related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is set forth below and this range may be modified in the future.
The salary range for Geo 1 (all states, excluding those in Geo 2 or Geo 3, and D.C.) is $142,600 - $153,100.
The salary range for Geo 2 (CO, HI, MD, RI) is $156,900 - $168,400.
The salary range for Geo 3 (AK, CA, CT, MA, NJ, NY, WA) is $164,000 - $176,000.
All Geos are eligible for equity in the form of stock options.
Additionally, this position is eligible for the following benefits: company sponsored life insurance, disability and AD&D plans. Voluntary benefits such as 401k retirement, medical, dental, vision, FSA, HSA, dependent care and commuter/parking options are also available. Octave offers generous Paid Time Off as well as paid parental leave benefits.
This job description does not cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
Equal Opportunity Statement We invite applicants to share their demographic background. If you choose to complete this survey, your responses may be used to identify areas of improvement in our hiring process.
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Sprachkenntnisse
- English
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