Cloud Data Engineer Lead (IC/Manager)

Information Technology Senior Management Forum; Chicago (IL); Presencial; USD 179.000 - 205.000; Jornada completa

Descripción de la vacante

Information Technology Senior Management Forum in Chicago, IL seeks a Data Engineer 4 (Manager, IC) to build cloud-first data solutions and lead engineering efforts across Agile teams. You will design data patterns, pipelines, and ensure security and compliance.

You will mentor developers, data analysts and data scientists, collaborate with product managers, and deliver scalable, resilient data platforms that support millions of users and complex analytics.

Formación

• Bachelor’s degree in Computer Science or a related quantitative field.
• Minimum 4 years of application development experience.
• Minimum 2 years in distributed data.
• Minimum 2 years with SQL.
• Minimum 2 years programming in Python, Java, or Scala.
• Minimum 2 years in data pipeline design and development.
• At least 1 year in data modeling and end-to-end data solutions.

Responsabilidades

• Collaborate with Agile teams to design, develop, test, implement, and support data solutions.
• Lead a team of developers, data analysts, and data scientists across ML and distributed systems.
• Use Python, Spark, Databricks, and Snowflake for data pipelines and warehousing.
• Mentor data community members and stay current with data trends.
• Deliver cloud-first data solutions that scale and are secure.

Conocimientos

Python

Spark

SQL

NoSQL

Databricks

Snowflake

Relational databases

Agile

Machine learning

Distributed microservices

Lakehouse architecture

Encryption at rest

Encryption at transit

Fine-grained access control

Educación

Bachelor’s Degree in Computer Science or related field

Herramientas

EMR

Glue

Databricks

Kubernetes

Descripción del empleo

Information Technology Senior Management Forum in Chicago, IL seeks a Data Engineer 4 (Manager, IC) to build cloud-first data solutions and lead engineering efforts across Agile teams. You will design data patterns, pipelines, and ensure security and compliance.

You will mentor developers, data analysts and data scientists, collaborate with product managers, and deliver scalable, resilient data platforms that support millions of users and complex analytics.