Accompany Health is hiring a
Senior Data Engineer

Summary

The job is for a Senior 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, building data infrastructure, and leading technical design and implementation of reliable, scalable, and efficient data infrastructure.

Requirements

• Entrepreneurial and mission-driven, with the ability to present ideas with clarity and confidence
• 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
• Be a data champion and seek to empower others to leverage the data to its full potential
• Understand our complex data ecosystem
• Work with the product team and stakeholders to translate business requirements for data across the company into a technical roadmap and architecture for the platform
• Act as the leading data domain expert and owns platform data architecture
• Lead the technical design and implementation of reliable, scalable, and efficient data infrastructure, data-driven products, and software solutions for external and internal customers
• Provide technical leadership to define overall data engineering best practices, standards, and architectural approaches and drive technical excellence. Identify design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
• Create and maintain optimal data pipeline architecture with high observability and robust operational characteristics
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL
• Work with stakeholders, including the Executive, Product, Clinical, Data, and Design teams, to assist with data-related technical issues and support their data infrastructure needs
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader

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