Senior Data Engineer

Plume

Posted 2mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

5+ years of hands-on experience in data engineering, analytics engineering, or a closely related role
2+ years of experience working within the healthcare industry
Working knowledge of HIPAA
Proven production experience with BigQuery, Snowflake, or Redshift
Strong hands-on experience with dbt
Deep experience with Apache Airflow
Demonstrated knowledge of dimensional data modeling
Hands-on experience delivering dashboards and reports in Looker, Power BI, Tableau, Qlik, etc.
Proficiency in Python for data pipeline development, API integrations, and automation
Practical exposure to RAG pipeline development and LLM integration using LangChain, LangGraph, or LlamaIndex
Hands-on exposure to MLOps concepts
Knowledge of CI/CD tooling for data and AI workloads
Strong understanding of data quality and governance principles
Excellent written and verbal communication skills
Ability to work independently

Experience with real-time or streaming data pipelines using Kafka, Kinesis, or Pub/Sub
Knowledge of vector databases such as Pinecone, Weaviate, FAISS, or Chroma
Familiarity with responsible AI principles
Experience with data observability tools such as Monte Carlo, Bigeye, or Soda
Familiarity with data lakehouse patterns
Experience working toward or maintaining SOC2 or HITRUST certification
Familiarity with semantic layer tools
Experience with population health, revenue cycle, or clinical quality reporting datasets
Exposure to Kubernetes or containerized ML workloads

Skills