Data Engineer (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Engineer (AI/ML): Building and optimizing the data infrastructure for intelligent healthcare features with an accent on scalable data pipelines and feature store technologies. Focus on transforming complex healthcare data into high-quality datasets for model training and production inference.
Location: Remote (United States)
Salary: $128,000 - $145,200 USD
Company
is an all-in-one EHR+ platform built exclusively for independent healthcare practices to streamline operations and reduce provider burnout.
What you will do
- Design, build, and maintain scalable data pipelines for feature extraction, training data generation, and model monitoring.
- Develop data systems supporting AI/ML workloads, including data lakehouse and feature store technologies.
- Optimize SQL queries, Spark workloads, and data processing pipelines to improve performance and scalability.
- Build reusable data engineering components, including automated quality checks and schema validation.
- Collaborate with ML Engineers to support MLOps best practices, such as data versioning, lineage, and reproducibility.
- Translate business requirements into scalable data solutions for analytics and machine learning use cases.
Requirements
- 3+ years of professional experience in Data Engineering, Software Engineering, or a related field.
- 2+ years of experience building and maintaining production data pipelines for ML or analytics.
- Strong proficiency in Python and SQL for developing production-quality pipelines.
- Experience with distributed data platforms such as Spark, Airflow, or Kafka.
- Experience with cloud-based platforms like Databricks, Snowflake, or Delta Lake.
- Must be based in the United States.
Culture & Benefits
- Competitive pay based on a geo-zone system to ensure regional competitiveness.
- Comprehensive healthcare benefits and variable pay opportunities.
- Work-from-home equipment discounts through Dell.
- Wellness and mental health resources via Gympass and Telus Employee Assistance Program.
- Entrepreneurial culture focused on simplifying healthcare and customer-centricity.
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