Octave is looking for a Senior Data Engineer 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, bringing high-quality, scalable, and ethical AI into real-world use.
What You'll Do
- 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 source ingestion and preparation, training and tuning, experimentation and productionization, and downstream systems integration.
- 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.
What We're Looking For
- 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.
- 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.
Nice to Have
- Experience in healthcare, behavioral health, EHR systems, and/or regulated industries.
- Specific expertise with: AWS/GCP, dbt, Airflow/Airbyte, Redshift/BigQuery.
Technical Stack
- Languages & Querying: SQL, Python
- Cloud Platforms: AWS, GCP
- Data Tools: dbt, Airflow/Airbyte, Redshift, BigQuery, Spark
- ML Libraries: TensorFlow, PyTorch, scikit-learn
Team & Environment
You will partner closely with data scientists, analysts, and product managers.
Benefits & Compensation
- Compensation varies by geographic zone:
- Geo 1: $142,600 - $153,100
- Geo 2 (CO, HI, MD, RI): $156,900 - $168,400
- Geo 3 (AK, CA, CT, MA, NJ, NY, WA): $164,000 - $176,000
- All Geos are eligible for equity in the form of stock options.
- 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.
- Generous Paid Time Off.
- Paid parental leave benefits.
Octave will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.
