Responsibilities
- Work directly with the Division Analytics Chief Data Engineer, frontend data visualization specialists, and product stakeholders by developing, deploying, and maintaining data pipelines from authoritative data sources needed for metrics and analytics.
- Oversee both long-range goals and near-term objectives of the Division Analytics team related to collecting, managing, and converting raw data into usable information for business analysts to interpret and for division-wide accessibility.
- Provide mentorship and leadership to guide junior data engineers, conduct code reviews, and champion engineering best practices.
Requirements
- 12 years professional experience with Bachelors in Science; 10 years with Masters; 8 years with PhD or an additional 4 years of related experience in lieu of degree
- Must be a US citizen.
- Experience using various programming languages and tools for data science and data engineering; e.g., Python, SQL, Neo4j, Tableau, AWS, etc.
- Experience developing, deploying, and maintaining production-quality data ETL/ELT pipelines from various sources using APIs, custom code, and other extraction methods
- Experience handling structured and unstructured data and using database management systems
- Experience with distributed (cloud) data storage structures, local databases, and other data storage forms
ATS Optimization Keywords
Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. This unique feature helps candidates tailor their applications more effectively — a feature exclusive to JobTailor job listings.
Hard Skills
- data engineering
- data pipelines
- ETL
- ELT
- Python
- SQL
- Neo4j
- Tableau
- AWS
- database management
Soft Skills
- mentorship
- leadership
- code reviews
- engineering best practices