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Description:
The Data Engineer at Wheel will work with data to solve business problems, build and maintain infrastructure, and streamline data science workflows.
Responsibilities include collaborating with Engineering and Operations teams, making iterative improvements to back-end systems, modeling data sources, building data pipelines, and developing predictive models.
The role also involves advocating for best practices and continued learning in data engineering and science.
Requirements:
5+ years of experience as a data engineer and 3+ years with Python, SQL, and data visualization/exploration tools.
Familiarity with the AWS ecosystem, including Redshift, RDS, PostgreSQL, DynamoDB, Aurora, Timestream/InfluxDB, Healthlake, Trino, Quicksight, etc.
Strong communication skills to explain technical concepts to non-technical business leaders.
Ability to work in a dynamic, research-oriented team with concurrent projects in a startup environment.
Bachelor’s degree in Computer Science, Engineering, or related field required, Master’s degree preferred.
Experience in ETL processes and professional certifications are a plus.
Benefits:
Opportunity to work with innovative companies and cutting-edge technologies in the virtual care space.
Collaborate with a diverse team of professionals in a startup environment.
Competitive salary and benefits package.
Continuous learning and development opportunities in data engineering and science.