Develop, debug and support ETL processes utilizing AWS services
Lead ideation and development of data models used for data science and analytics
Meet the delivery expectations of the Agile Project Management methodology
Maintain and optimize reports and extracts that serve as lifesaving information sources to customers
Create clear and concise documentation regarding technical solutions, while sharing knowledge and documentation with teammates via “Lunch and Learns”
Collaborate with internal and external customers to deliver modern data products
Explore opportunities to enhance workflows through AI or automation tools (e.g., document summarization, task routing, or data parsing)
Identify repetitive tasks and partner with team leads to implement scalable automation solutions

Bachelor’s degree in computer science, Analytics, a related field, or equivalent experience
8+ years total software and relational database development experience
3+ years with a strong demonstrated ability to develop and maintain ETL solutions, ideally using Python and various Application Programming Interfaces (API)
3+ years’ experience with AWS Cloud Solutions/Services
Experience working in an Agile environment include using ticketing software such as JIRA
Strong technical problem-solving abilities
Hands on experience maintaining databases on Redshift, PostgreSQL, MySQL or Oracle relational database systems
Experience with software development using Python, Ruby, or other modern scripting languages, ideally in container solutions such as Docker or Kubernetes
Proficiency with modern data stack tools such as dbt, Starburst, AWS Glue
Healthcare experience is a plus, but not mandatory
Comfort using or learning AI-supported tools (e.g., ChatGPT, CoPilot, or role-specific tools) to improve daily workflows
A forward-thinking, curious mindset with an openness to experimenting with new technologies
Strong analytical and problem-solving skills, with sound judgment and creativity in designing solutions
Proven ability to thrive in fast-paced, high-growth, and rapidly evolving environments
Ability to work effectively in a remote-first environment, ensuring high-quality virtual interactions with minimal distractions
The ability to travel periodically for work.

Staff Data Engineer

Key skills