Senior Cloud Data Engineer: Azure Pipelines & Leadership

Rallyday Partners; Northern (KY); Hybrid; USD 130,000 - 180,000; Full time

Job summary

Nimble Gravity is seeking a Senior Cloud Data Engineer to design, build, and maintain cloud-based data pipelines that ingest, transform, and load data into Azure-based platforms. You will collaborate with data architects and stakeholders to ensure scalable, reliable data workflows for analytics, reporting, and decision-making.

The role requires at least 5 years in cloud data engineering, strong Azure expertise (Databricks, Synapse, SQL), and leadership experience guiding junior engineers while

Qualifications

• Minimum 5+ years of cloud-focused data engineering experience.
• Expertise in Microsoft Azure and related services.
• Experience with Azure Databricks, SQL Database, and Synapse.
• Proficient in Spark programming (Python, PySpark, SparkSQL).
• Experience with Azure Data Factory and Logic Apps for orchestration.
• Strong data modeling, ETL/ELT, and data warehousing knowledge.
• SQL and NoSQL databases familiarity; Apache Spark knowledge.
• Leadership experience; mentoring junior engineers.
• Azure data certifications are a plus.

Responsibilities

• Design end-to-end data pipelines across sources into the cloud.
• Collaborate with data architects to ensure scalability and performance.
• Develop complex data transformation logic for analytics.
• Build and optimize ETL processes ensuring data quality.
• Collaborate with stakeholders to deliver actionable insights.
• Lead a team of data engineers with mentorship.
• Stay current with advances in cloud data engineering.

Skills

Leadership

Mentorship

Problem-solving

Education

Bachelor's or Master's in CS/Engineering

Tools

Azure Databricks

Azure SQL Database

Azure Synapse Analytics

Python

SparkSQL

Azure Data Factory

Logic Apps

Kafka

Azure Event Hubs

Apache Spark

Job description

Nimble Gravity is seeking a Senior Cloud Data Engineer to design, build, and maintain cloud-based data pipelines that ingest, transform, and load data into Azure-based platforms. You will collaborate with data architects and stakeholders to ensure scalable, reliable data workflows for analytics, reporting, and decision-making.

The role requires at least 5 years in cloud data engineering, strong Azure expertise (Databricks, Synapse, SQL), and leadership experience guiding junior engineers while