Accompany Health is hiring a
Principal Data Engineer in United States

Summary

The job is for a Principal Data Engineer at Accompany Health, a mission-driven healthcare provider offering at-home and virtual care. The role involves collaborating with various teams to rewire healthcare, driving change in the industry, and building data infrastructure. The desired skills and experience include advanced SQL knowledge, experience with big data pipelines, strong analytic skills, project management skills, and a graduate degree in Computer Science or related field.

Requirements

• Entrepreneurial and mission-driven, with clarity and confidence in presenting ideas
• Advanced working SQL knowledge and experience working with relational databases
• Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets. A definite plus with healthcare experience
• Strong analytic skills related to working with unstructured datasets
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management
• A successful history of manipulating, processing, and extracting value from large disconnected datasets
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
• Strong project management and organizational skills
• Experience supporting and working with cross-functional teams in a dynamic environment
• 7+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field

Responsibilities

• Collaborate across the organization with various teams, including Product, Sales, and Clinical Operations, to rewire health care
• Drive the change in healthcare: You will build the products to integrate highly fragmented and dispersed healthcare services as an end-to-end experience

Preferred Qualifications

• Experience with cloud-based data warehouse: Snowflake
• Experience with relational SQL and NoSQL databases
• Experience with object-oriented/object function scripting languages: Golang, Python, Java, C++, Scala, etc
• Experience with big data tools: Spark, Kafka, etc
• Experience with data pipeline and workflow management tools like Airflow