Principal Data Engineer

Role Overview

• 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

Requirements

• 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
• 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
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• 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

Tech Stack

• SQL

Benefits

• equity
• benefits