Data Engineer II: Build Scalable ETL & Data Pipelines

Honeywell Aerospace; Minneapolis (MN); Presencial; USD 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical coverage

Dental coverage

Vision coverage

401(k) match

PTO

Educational assistance

Descripción de la vacante

Honeywell Aerospace is seeking a Data Engineer II in Minneapolis to design, develop, and maintain data pipelines and ETL processes that move data efficiently across the organization. You will ensure data integrity and enable data-driven decisions, partnering with data scientists and engineers.

This role emphasizes scalable architectures, rigorous testing, and collaboration within a diverse team focused on operational excellence and innovation in aerospace.

Formación

• US citizen required due to contractual requirements.
• Bachelor's degree in a technical discipline (STEM).
• 2+ years of data engineering experience.
• Proficiency in ETL, SQL and data integration.
• Understanding of DBMS and data warehouse architectures.

Responsabilidades

• Develop, construct, test, and maintain data architectures such as databases and large-scale processing systems.
• Assemble large, complex data sets meeting functional and non-functional requirements.
• Identify and implement internal process improvements, automate manual tasks, and enhance data delivery.
• Build infrastructure for ETL from diverse data sources.
• Collaborate with data scientists and architects on projects.
• Ensure data quality and integrity through testing and validation.
• Monitor and troubleshoot data pipelines and systems for high availability and performance.

Conocimientos

ETL pipelines

SQL

Data integration

Python/Java/Scala

Data warehousing

Big data platforms

Educación

Bachelor's degree in a technical field

Herramientas

Hadoop

Spark

Kafka

Descripción del empleo

Honeywell Aerospace is seeking a Data Engineer II in Minneapolis to design, develop, and maintain data pipelines and ETL processes that move data efficiently across the organization. You will ensure data integrity and enable data-driven decisions, partnering with data scientists and engineers.

This role emphasizes scalable architectures, rigorous testing, and collaboration within a diverse team focused on operational excellence and innovation in aerospace.