Senior Data Engineer: Scalable Pipelines & AI-Driven Data

Indeed; Burlington (VT); On-site; USD 119,000 - 250,000; Full time

Job summary

Indeed is seeking a Data Engineer to integrate data from various sources into common domain models, supporting data and analytics across the business. You will design, implement, and optimize scalable data pipelines and data models in a big data environment, driving architectural decisions and improving engineering practices.

You will collaborate with engineering, product leadership, and vendors to deliver reliable data solutions and provide documentation and guidance to data warehouse users,

Qualifications

• Requires a Bachelor’s degree or higher with 5+ years of related experience.
• Experience with AI-powered development tools to accelerate code development and documentation.
• Extensive experience with relational, SQL, and NoSQL databases.

Responsibilities

• Design and implement reliable, scalable ETLs to feed data into the data lake and cloud warehouse.
• Model and transform data to support evolving business needs and warehouse standards.
• Develop and maintain scalable data pipelines processing millions of events per day.

Skills

Bachelor's degree

5+ years exp

AI tools experience

SQL/NoSQL

Airflow

Data modeling

Data quality

Education

Bachelor's degree in related field

Master's degree (preferred)

Tools

Airflow

Data warehouse

GitHub Copilot

Job description

Indeed is seeking a Data Engineer to integrate data from various sources into common domain models, supporting data and analytics across the business. You will design, implement, and optimize scalable data pipelines and data models in a big data environment, driving architectural decisions and improving engineering practices.

You will collaborate with engineering, product leadership, and vendors to deliver reliable data solutions and provide documentation and guidance to data warehouse users,