Remote Senior Data Engineer: Build Scalable Pipelines

General Mills; Honolulu (HI); On-site; USD 140,358 - 174,600; Full time

Job summary

General Mills, Inc. is seeking a Senior Data Engineer to join our data engineering team. The role focuses on building scalable data pipelines and analytics platforms, partnering with analysts and data scientists to deliver insights and data products.

The position supports telecommuting up to 100% for the right candidate, with responsibilities spanning ETL, data warehousing, and big data technology ecosystems.

Qualifications

• Bachelor’s or higher in CS/IS/Engineering or related field with post‑baccalaureate experience.
• Experience in data engineering or data architecture roles.
• Strong SQL, Python/Scala, and data warehouse development.

Responsibilities

• Build data pipelines and analytics solutions with a multidisciplinary team.
• Design and maintain data architecture and ETL processes.
• Develop data products for analytics and data science teams.

Skills

SQL & Data Analysis

Python or Scala

Data Warehouses

Big Data (Hadoop)

Hive

BigQuery

Spark

Kafka

Tableau/Power BI/Looker

Education

Bachelor’s degree in CS/IS/Engineering or related

Master’s degree (preferred)

Tools

Hadoop

Hive

BigQuery

Spark

Kafka

Tableau

Power BI

Looker

Shiny

Job description

General Mills, Inc. is seeking a Senior Data Engineer to join our data engineering team. The role focuses on building scalable data pipelines and analytics platforms, partnering with analysts and data scientists to deliver insights and data products.

The position supports telecommuting up to 100% for the right candidate, with responsibilities spanning ETL, data warehousing, and big data technology ecosystems.