Model complex business data into digestible data products using data modeling best practices.
Develop, refactor, and maintain key data pipelines, ensuring a high degree of code and data quality.
Proactively solve problems for data developers (analytics engineering, data science) and data consumers (data science, product/reporting teams) by identifying and using best-fit tools.
Employ cutting edge LLMs to streamline data development, modeling, and analytics.
Requirements
Experience developing data pipelines using Python.
Experience building robust data transformations using SQL.
Experience or coursework in data analytics and storytelling.
An embodiment of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
Experience or coursework in software engineering, data science, or other related quantitative field (e.g., physics, economics, math, etc.) (Nice to haves).
Experience with ETL/ELT pipelines in an enterprise cloud platform (AWS, GCP) (Nice to haves).
Benefits
bonus eligibility
benefits (including medical, dental, vision and 401(k))
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.