Staff Data Scientist & Data Platform Leader

Jobtailor; California (MO); On-site; USD 120,000 - 180,000; Full time

Job summary

Jobtailor is seeking a senior Data Engineer to design, deploy, and maintain robust data pipelines from authoritative sources to power metrics and analytics.

You will lead a division analytics team, guide data engineers, and ensure data is accessible for analysts and stakeholders across the division. This role emphasizes mentorship, engineering excellence, and delivering production-quality ETL/ELT solutions at scale.

Qualifications

• 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 with Python, SQL, Neo4j, Tableau, AWS and related data engineering tools.
• Experience developing, deploying, and maintaining production-quality data ETL/ELT pipelines from 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.

Responsibilities

• Develop, deploy, and maintain data pipelines from authoritative data sources for metrics and analytics.
• Oversee 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.

Skills

data engineering

data pipelines

ETL/ELT

Python

SQL

Neo4j

Tableau

AWS

cloud data storage

database management

Education

BS in Science or higher; years of experience may substitute

Tools

Tableau

AWS

Job description

Jobtailor is seeking a senior Data Engineer to design, deploy, and maintain robust data pipelines from authoritative sources to power metrics and analytics.

You will lead a division analytics team, guide data engineers, and ensure data is accessible for analysts and stakeholders across the division. This role emphasizes mentorship, engineering excellence, and delivering production-quality ETL/ELT solutions at scale.