Create and maintain data pipelines and ETL jobs using Python and SQL
Assemble large complex data sets that meet functional/non-functional business requirements
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery and re-designing infrastructure for greater scalability
Collaborate with business leaders, Executives, Data Scientists, BI Analytics, Product, Engineering, and other operational departments to ensure successful delivery of data integration and BI projects
Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues
Ability and interest in mentoring other Data Engineer
Skills, Experience & Qualifications:
5+ years of experience in Data Engineering roles
Bachelor's degree or equivalent experience in Computer Science or a related technical field
Strong Python experience
Strong SQL experience
Strong REST API experience
Experience using Linux
Experience with data warehousing: Redshift and Snowflake
Warehouse data modeling experience is a plus
Ability and motivation to learn new technologies quickly with minimal support and guidance
Strong communication skills
Experience supporting and working with cross-functional teams in a dynamic environment.
Benefits/Compensation
In-office, hybrid and remote work options
DTO (discretionary time off).
Medical insurance with Blue Cross Blue Shield
Health Savings Account (HSA) with company contribution.
Dental insurance (Cigna) and Vision insurance (United Healthcare)
