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# Cloud Platform Engineer

- **Company:** Gridiron IT Solutions LLC
- **Location:** St. Louis, MO, United States
- **Salary:** $150,000.0 - $165,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Airflow, Microsoft Azure, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), DevOps, JSON, Python (Programming Language), Apache Oozie, Systems Development Life Cycle, Redis, SQL Databases, Data Streaming, Extensible Markup Language (XML), Azure Service Bus, Data Processing, Cloud Platform System, Azure Data Factory, Apache Spark, Data Management, Web Architecture, Data Pipelines, Serverless Computing, Databricks
- **Published:** July 14, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9028529/cloud-platform-engineer

## About the Role

3+ years of hands-on experience working with Azure cloud native technologies.
2+ years' experience with developing ETL pipelines in Azure using tools such as Azure Data factory, Event hubs, Event grid, Azure functions,
2+ years developing data engineering pipeline with Databricks or Spark
1+ year working with technologies such as CosmoDB, AzureSQL, Redis, Synapse
1+ year working with orchestration tool such as Airflow or Oozie
Strong programming foundation with python or java
Strong experience with SQL
Experience working in Agile teams
Experience working with streaming and batching solutions
Experience working with csv, json, xml and complex structures
Familiar with devOps process, CI/CD, security, coding standard and SDLC cycle

Preferred:
Experience with migrations to major cloud

## Description

Azure Cloud engineer with experience integrating data from both internal and external data sources to build a data processing system. Creates new pipelines and builds reusable components at scale to support reporting & analytics data products. Writes complex queries to transform raw data sources into accessible models by coding. Cleans, prepares, transforms, and optimizes data at scale for integration and consumption. Implements data management projects and restructures current web architecture. Solves complex data issues and performs root cause analysis to proactively resolve product issues. Owns the data pipeline and supports systems failures


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