Data Engineer

Summary

The job is for a Data Engineer at Wheel, a company offering virtual care solutions. The role involves collaborating across teams to build complex algorithms, improving back-end systems, modeling data sources, building data pipelines, and developing models for predictions. Required qualifications include 5+ years of experience as a data engineer, proficiency in Python, SQL, and data visualization tools, familiarity with the AWS ecosystem, excellent communication skills, and a Bachelor's degree (or equivalent) in Computer Science or related field.

Requirements

• 5+ overall years as a data engineer and 3+ years of experience with Python, SQL, and data visualization/exploration tools required
• Familiarity with the AWS ecosystem, specifically Redshift, RDS, PostgreSQL, DynamoDB, Aurora, Timestream/InfluxDB, Healthlake, Trino, Quicksight, etc
• Excellent communication skills, especially for explaining technical concepts to nontechnical business leaders, i.e. read your audience and speak their languages
• Ability to work on a dynamic, research-oriented team that has concurrent projects in a startup environment
• Bachelor’s degree (or equivalent) in Computer Science, Engineering, or related discipline required, with a Masters preferred

Responsibilities

• Collaborate across the Engineering and Operations teams to help build complex algorithms that provide unique insights into our data
• Make iterative improvements to our back-end systems
• Model front/back-end data sources to help draw a more comprehensive picture of user flows throughout the system to enable enhanced data analysis
• Build data pipelines that clean, transform, and aggregate data from disparate sources
• Develop models that can be used to make predictions and answer questions for the business

Preferred Qualifications

• Experience in building or maintaining ETL processes
• Professional certification(s) a nice to have