Sr. Data Engineer

Octave

Completely RemoteFull TimeSeniorInformation Technology
Posted 3 days ago

Job description

Responsibilities

  • Design, build, and maintain scalable systems for data ingestion, transformation, and storage
  • Implement frameworks, tooling, and automation to increase development velocity
  • Develop end-to-end AI/ML workflows from source ingestion to downstream systems integration
  • Support iterative model development, production operations, and observability
  • Mentor peer engineers and contribute to a culture of continuous improvement
  • Leverage AI tools to improve efficiency and decision-making

Requirements

  • 5+ years of experience in data engineering, platform engineering, or ML engineering
  • Proficiency in SQL and Python
  • Experience with data ops best practices, monitoring, and CI/CD
  • Experience with GCP or AWS data engineering tools and big data frameworks
  • Experience with data modeling and medallion architecture
  • Bachelor's degree in Computer Science, Data Science, Statistics, Engineering or a related field

Preferred Qualifications

  • Experience in healthcare, behavioral health, or regulated industries
  • Expertise with dbt, Airflow, Airbyte, Redshift, or BigQuery
  • Knowledge of ML frameworks such as Spark, TensorFlow, PyTorch, or scikit-learn
  • Experience building production APIs and MCP servers

Benefits

  • Comprehensive medical, dental, and vision insurance
  • 401(k) with traditional and Roth options
  • Generous paid time off and company holidays
  • Paid parental bonding leave
  • Professional development reimbursement
  • Remote work equipment and monthly internet/phone reimbursement

About the Company

Octave is a modern behavioral health practice creating a new standard for care delivery that's both high-quality and accessible, offering evidence-based therapy through in-person and virtual clinics.

Skills & tools

SQLPythonGCPAWSDBTAirflowAirbyteRedshiftBigQuerySparkTensorFlowPyTorchscikit-learn

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01Proficiency in SQL
  2. 02Proficiency in Python
  3. 03Experience with GCP or AWS
  4. 04Data modeling and medallion architecture
  5. 05CI/CD and pipeline automation
  6. 06Bachelor's degree in Computer Science or related field
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