Mental health, built around you.
Senior Data Engineer, AI/ML
Location
United States
Posted
2 days ago
Salary
$142.6K - $176K / year
Job Description
Job Requirements
- 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, Airflow, Airbyte, Redshift/BigQuery.
- Proficiency in SQL and Python
- 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.
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
- generous Paid Time Off
- paid parental leave benefits.
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