Senior Data Engineer
2 days ago
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 SummaryWe 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
- 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.
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.
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