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Senior Data Engineer

1 month ago

Palo Alto, California, United States Machinify Full time
Job Title: Staff/Lead Data Engineer

Machinify is a leading provider of AI-powered software products that transform healthcare claims and payment operations. Our revolutionary AI-platform enables us to develop and deploy industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.

Job Summary

We are seeking a Staff/Lead Data Engineer to build and own critical data pipelines. The ideal candidate will have a deep understanding of data engineering principles and experience in designing and implementing scalable data pipelines.

Key Responsibilities
  • Independently understand business problems and weigh pros and cons of different approaches to suggest ones likely to succeed
  • Work with cross-functional teams to deliver a scalable framework
  • Map customer data into Machinify's canonical form and identify non-canonical fields
  • Proactively design and adapt the canonical form to suit changing query patterns and needs
  • Own data availability and quality for the Data Science organization
Requirements
  • Deep experience as a hands-on Data Engineer building production data pipelines
  • Experience managing complex data delivery
  • Experience in ETL orchestration and workflow management tools with a strong preference for Apache Airflow
  • Experience in Spark or other distributed computing frameworks
  • SQL and Python
  • Advanced SQL performance tuning
  • Kubernetes and building Docker images
  • AWS & GCP
  • Experience working with APIs to collect or ingest data
  • Manage SLA for all pipelines in allocated areas of ownership
  • Streaming technologies like Kafka, Spark Streaming, etc.
  • ELK stack, Grafana, etc.
What We Offer

Machinify offers a competitive salary range of $220k-$270k, meaningful equity, excellent healthcare, flexible time off, and other benefits and perks. We are an equal employment opportunity employer and welcome candidates from diverse backgrounds.