Senior Data Engineer: AI Pipelines & RealTime Data (Hybrid)

Optum; Eden Prairie (MN); Híbrido; USD 92.000 - 164.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

comprehensive benefits package

incentive and recognition programs

equity stock purchase and 401k

Descripción de la vacante

Optum, a health services leader, seeks a Senior Data Engineer in Eden Prairie, MN. You will design AI-powered data pipelines, optimize streaming data with Kafka, and apply data warehousing best practices. This hybrid role emphasizes scalable solutions and collaboration with cross-functional teams.

You will work with Python, Spark, Scala, and cloud components while focusing on KTLO and platform stability. The role offers a comprehensive benefits package and opportunities for growth.

Formación

• 5+ years in data/ software engineering or related field.
• 3+ years building data pipelines with Python/SQL/Spark/Scala.
• 3+ years data warehousing, dimensional modeling, DB design.
• 2+ years streaming data architectures with Kafka.
• 1+ years with Airflow for orchestration.

Responsabilidades

• Design, develop, and deploy AI-powered data solutions.
• Evaluate trends to inform solution design and innovation.
• Use enterprise AI tools to streamline workflows and automation.
• Build and maintain scalable data pipelines with Python, Spark, Scala.
• Support real-time streaming apps and Kafka-based systems.
• Apply data warehousing and modeling best practices.
• Collaborate with teams to translate data needs into solutions.
• Optimize queries and performance on large datasets.

Conocimientos

5+ years data engineering experience

Problem-solving

Communication

Team collaboration

Educación

Bachelor's degree in CS/IT/Data Science

Herramientas

Python

SQL

Spark

Scala

Apache Kafka

Airflow

Databricks

Descripción del empleo

Optum, a health services leader, seeks a Senior Data Engineer in Eden Prairie, MN. You will design AI-powered data pipelines, optimize streaming data with Kafka, and apply data warehousing best practices. This hybrid role emphasizes scalable solutions and collaboration with cross-functional teams.

You will work with Python, Spark, Scala, and cloud components while focusing on KTLO and platform stability. The role offers a comprehensive benefits package and opportunities for growth.