Sharecare, Inc. Data Engineer in Atlanta, Georgia
Sharecare is the leading digital health company that helps people -- no matter where they are in their health journey -- unify and manage all their health in one place. Our comprehensive and data-driven virtual health platform is designed to help people, providers, employers, health plans, government organizations, and communities optimize individual and population-wide well-being by driving positive behavior change. Driven by our philosophy that we are all together better, at Sharecare, we are committed to supporting each individual through the lens of their personal health and making high-quality care more accessible and affordable for everyone. To learn more, visit www.sharecare.com.
*This is a remote position and can be located anywhere in the United States.
In partnership with senior leaders and data end users, the Analytics and Data Science Team is responsible for building out Sharecare's internal data infrastructure, iterating on data pipeline improvements, delivering on the analytics roadmap, and measuring its impact across the organization. The Data Engineers on the team are given direct ownership of key areas for Sharecare's business, and delivering meaningful outcomes is their primary measure of success. The team's stakeholders span the company and work across business areas and teams, including Sales, Marketing, Operations, Quality Control, Product Development, Human Resources, Finance, Information Technology as well as external clients.
In addition to developing reliable data pipelines for our end users, this role will initially have an opportunity to focus on improving our innovative data architecture and helping the team to integrate data from across the company and help build a single pane of glass view to drive actionable insight and analytics. If you have a passion for solving complex data engineering issues and are interested in steering your career in a meaningful direction where you will have the opportunity to work in a fast-paced environment -- we want to hear from you!The ideal candidate will be a life-long learner possessing intellectual humility, have excellent programming and data engineering skills, possess an ability to tackle a wide variety of projects including ETL/ELT development, data quality analysis, data modeling, monitoring, and automation and support the ongoing buildout of our data warehouse and analytics environments.
Lead the design, development, and maintenance of scalable data pipelines for structured and unstructured data from a variety of sources including raw files, source systems, databases, external APIs, and cloud services.
Add value at each step from raw data, to structured data, to data modeling, to reporting, analytics and machine learning.
Monitor and continuously improve ELT/ELT processes to assemble large, complex data sets using clean Python and SQL code focusing on data reliability, efficiency, and quality.
Lead deep architectural discussions to build confidence with our stakeholders and ensure customer success when creating new data solutions and products.
Collaborate closely with the data analysts and scientists to strive for greater functionality in our data ecosystem and quickly resolve operational issues by working with upstream support groups and other engineering teams.
Continuously research and integrate new data management and software engineering technologies into existing data structures and create POCs to constantly evolve our technology stack.
Support compliance and regulations standards with data stewardship and data security policies.
Sharecare is an Equal Opportunity Employer and doesn't discriminate on the basis of race, color, sex, national origin, sexual orientation, gender identity, religion, age, disability, genetic information, protected veteran status,or other non-merit factor.