Senior Cloud Data Engineer — Lead Pipelines & Azure

Nimble Gravity, LLC; Northern (KY); Hybrid; USD 110,000 - 160,000; Full time

Job summary

Nimble Gravity is seeking a Senior Cloud Data Engineer to design, develop, and maintain cloud-based data solutions for diverse clients. You will lead end-to-end data pipelines, optimize ETL/ELT processes, and ensure reliable cloud data platforms.

You will collaborate with data architects and stakeholders to ensure scalable, high-performance pipelines, while mentoring junior engineers and staying up-to-date with Azure and data engineering best practices.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 5+ years of data engineering experience in cloud-based solutions.
• Strong Azure expertise with hands-on services.
• Spark/PySpark experience for data pipelines.
• ETL/ELT and data warehousing knowledge.

Responsibilities

• Design end-to-end data pipelines to collect, process, transform, and load data into the cloud.
• Collaborate with architects and stakeholders for scalable, reliable pipelines.
• Develop complex data transformation logic for analytics and reporting.
• Build and optimize ETL processes to ensure data quality.
• Collaborate with client stakeholders to deliver actionable insights.
• Lead a team of data engineers with mentoring and collaboration.
• Stay current with cloud technologies and data engineering practices.

Skills

Azure

Spark (PySpark)

Kafka

Azure Event Hubs

Azure Data Factory

NoSQL

SQL

Data modeling

ETL/ELT

Leadership

Education

Bachelor's or Master's in CS/Engineering

Tools

Azure Data Factory

Logic Apps

Kafka

Spark

Python

Job description

Nimble Gravity is seeking a Senior Cloud Data Engineer to design, develop, and maintain cloud-based data solutions for diverse clients. You will lead end-to-end data pipelines, optimize ETL/ELT processes, and ensure reliable cloud data platforms.

You will collaborate with data architects and stakeholders to ensure scalable, high-performance pipelines, while mentoring junior engineers and staying up-to-date with Azure and data engineering best practices.